Urban Big Data

Lead Research Organisation: University of Glasgow
Department Name: School of Social & Political Sciences

Abstract

The proposed UBDRC will bring together an internationally outstanding combination of researchers, data resources and engaged local and national stakeholders to establish a unique linked data resource based in the University of Glasgow (UoG). Through extensive partnerships with other key academic institutions, data-owning organizations, and other scientific, governmental, third sector and business organizations, the UBDRC will: (i) establish a world leading facility to create an multi-sectoral urban linked data resource from local government authorities and business owners in Glasgow; (ii) provide outstanding training and research support services to ensure wide exploitation of the data; and (iii) deliver a strategic approach to knowledge transfer and training to build capacity and engage with policy, business, and the wider public. The UBDRC will provide a unique facility for researching cross-cutting urban issues and complex urban challenges by enabling access to multi-sectoral linked data from local government, business and other sources. This vision will be achieved by: (1) Data Services: UBDRC will focus on bringing together myriad of datasets many of which are unique and hard to obtain, from multiple urban sectors to create a linked urban data resource that allows comprehensive and cross-sectoral research. The centre will provide data curation services and the necessary metadata and provide a range of data access services to users, including, where necessary, secure access to confidential data. (2) Methods and social science research: UBDRC will develop, test and evaluate a wide range of methodological approaches including urban and regional modeling, agent-based models, machine learning and other methods and will support research leading to new cross-cutting theoretical insights, hypotheses and understanding of urban systems, thereby stimulating foundational research on new models of urban behaviour, processes and service provision. The data resource will be used to develop spatially-indexed (and perhaps temporally-indexed) urban indicators on myriad aspects describing the quality and character of urban spaces, and the spatial distribution of the urban processes, eg, on environmental risks, mobility and accessibility patterns, housing and educational aspects, and other aspects that desribe the socio-demographic, economic, environmental, built environment, physical and other aspects of urban areas.. The data would further allow policy research on a wide range of urban sectors and the derivation of a multitude of approaches for urban governance and business development. Additionally, new insights may be derived for capacity-building, innovations and learning strategies to better equip citizens to meet a diversity of challenges in cities of the future. (3) Knowledge Exchange, Outreach and Public Engagement: The UBDRC will be an important node in a growing network of UK-wide and international initiatives on cities. The networks include: international centres on urban research and cities, international research Networks, and networks of governmental, private, non-profit and other organizations.
The UBDRC will undertake a research programme to advance the state-of-the-art of methods related to the use of the data resource, as well as an applied urban research stream to demonstrate the use of the linked urban Big Data resource and to derive understanding towards theory, planning and policy. Research Group 1: Methods Research: A series of computational, data management, statistical, and urban analytics projects will be undertaken to make the data more easily accessible and usable. Group 2: Urban Research Projects (URPs): Research projects on substantive urban issues such as transport, housing, migration and education will demonstrate to data owners and policy makers the value of large-scale, cross-sectoral data linkage and lead to policy insights for public, private and non-profit decision-makers.

Planned Impact

Who will benefit from the work of the centre?
The research conducted or facilitated by the UBDRC will have an impact on a range of non-academic groups, including local and national government, other public bodies, businesses, voluntary sector organisations, civic groups and the wider public. Some will benefit as data owners facing fewer burdens in data sharing in future. A much wider group will benefit from the substantive research conducted through the UBDRC as we aim to facilitate research on cross-cutting urban issues, as well as more methodological research. We aim to have an impact on economic competitiveness, on social welfare and well-being, and on the efficiency of public services and policy interventions. Training and capacity building activities will also be accessible to non-academic groups

How will they benefit from the work of the centre?

1. Data owners
There is some scope for the UBDRC to reduce the burden of requests on data owners by providing a first point-of-call and expert guidance on data availability and quality. Having established a relationship with the UBDRC, data owners will be able to provide access to data through us using standard protocols and procedures, knowing the facility safeguards their interests. This in turn makes it easier for research commissioners to formulate and commission research ideas, since they will have greater certainty over what is available and how long it will take to access it. Time and cost savings will be realised, but we also hope new research ideas will be formed that, hitherto, did not seem feasible.

2. Policy makers in local government, national government and voluntary sector
A wide range of actors in local government could benefit from the increased understanding of diverse social and economic processes, and of the impacts of their policies and interventions. There could be benefits for service delivery. Research may stimulate horizontal discussions within partnership organisation such as Community Planning Partnerships due to enhanced awareness of the inter-relationships between services. Vertical discussions may be stimulated with national government bodies (Scottish Government or UK level e.g. DWP) or with civic of voluntary organisations representing particular service-user groups.

3. Researchers and research organisations
We will offer advanced training in the methods necessary to access and analyse the linked data. A wide range of researchers in public, voluntary and business sectors may benefit, both directly from the skills developed and indirectly through their enhanced capacity to use the facility to address research issues which matter to them.

4. Businesses
Businesses may benefit from more effective policies and investments to support their activities: in land preparation or land release; in transport investment; in skills development and training.

5. The wider public
The wider public may benefit in diverse ways. More efficient or competitive businesses or public services may impact directly employment opportunities or social welfare. A better understanding of the impacts of particular services - or the costs of withdrawing them - may help certain groups defend services of particular importance to them. In particular, we would expect that research into distributional issues would tend to provide insights which enable less powerful groups to represent their interests.

Organisations

Publications

10 25 50
 
Title 3D Data Sculptures of Segregation in Rotherham and Sheffield 
Description A series of 3D data sculptures designed to help stakeholders engage with complex data on segregation in a tactile and interactive way. 
Type Of Art Artefact (including digital) 
Year Produced 2017 
Impact The sculptures have proved to be a valuable stimulus for discussion, ideas, teaching, etc. We have exhibited the sculptures at various events including community engagement events and public lectures. The sculptures help stimulate discussion which led to UBDC researchers being invited to talk about our research to senior members of Rotherham Council. 
URL http://www.imaginecommunity.org.uk/wp-content/uploads/2017/07/Imagine-Rotherham-Event-2017-Report-Fi...
 
Title Adventures in design and data - 3D visualisations of iMCD data 
Description A team of psychologists in the School of Education at the University of Glasgow used Urban Big Data Centre data from the integrated Multimedia City Data Project (iMCD) to analyse and visualise literacy inequalities in Glasgow. Dr Kate Reid - working with fellow psychologist and UBDC alumni Dr Catherine Lido and student interns Michaella Drummond and Stefi Hahn - undertook research in the area of 'Lifewide Literacies' (e.g. health, environmental, financial and digital literacies), and created a series of 3D artefacts and exhibition pieces from the data, bringing them to several science fairs, including one held at Ikea in Glasgow. 
Type Of Art Artistic/Creative Exhibition 
Year Produced 2017 
Impact Both the researchers and the UBDC team were delighted with the interest and discussions had, with a new audience generated, in the most part, from the highly tactile objects which enabled them to tell the story of their research. We now have objects that can be used across different public engagement contexts, both formally at public engagement 'badged' events and also more informally, within communities including schools and colleges. We have also reflected on opportunities to incorporate good design and visual interest within our academic outputs such as poster presentations for academic audiences. The use of infographics and data visualisations, supported by platforms such as Piktochart, are improving the quality of our academic conversations including knowledge exchange. 
URL http://ubdc.ac.uk/news/2017/november/adventures-in-design-and-data-how-good-design-took-big-data-to-...
 
Title Datascape of Movement Patterns in Glasgow 
Description The Urban Big Data Centre's integrated Multimedia City Data (iMCD) project has produced innovative primary data sources about Glasgow, Scotland's largest city, in combinations which have never before been collected. To demonstrate the potential of the project's GPS sensor data strand, the Datascape Visualisation illustrates a 'typical week' of movement in Glasgow's city centre. The patterns are shown using day of the week and a time period (early morning, mid-morning, etc.). In blue and pink you can also see how men and women move around the city in different ways and utilise different locations at different times. This data visualisation was created by the Glasgow School of Art's Digital Design Studio on behalf of the Urban Big Data Centre. Sources in addition to the iMCD project data include Lidar data from 'blue sky' and satellite imagery from EU Spacing Imaging. This work was created as part of the 13th Annual Festival of Social Science, which took place from 7-14 November 2015. 
Type Of Art Film/Video/Animation 
Year Produced 2015 
Impact This was an early demonstrator of the type of visualisation that can be created using UBDC iMCD data. It has been used in numerous presentations since, generating interest in working with UBDC. 
URL http://ubdc.ac.uk/blog/2015/november/movement-patterns-in-glasgow/
 
Description As a data service, our main contribution lies in enabling the research contributions of others. Here we focus on our own contributions, summarising our key findings and contributions as a data service under the headings of: research resources identified, made accessible and enhanced; methods or skills developed; and research capabilities developed through training activities.
Research resource development
There are multiple data sources which UBDC has made accessible to social researchers and where we have enhanced the value through processing and integration. Some are described in the narrative impacts section. They cover multiple domains of activity.
Methods and skills development
As a result of the experience of running this kind of data service, we have added to knowledge on the challenges of accessing new and emerging data forms and how to overcome these. We have also added a great deal of knowledge about the qualities of those data and how to enhance them. We have conducted analyses to check the validity or veracity of key datasets held by UBDC which capture hard-to-study aspects of urban life such as cycling or private rental housing (Hong et al 2017; Livingston et al 2021). We have done work on algorithms to enhance privacy with mobilty-related data and their impact on quality (Raturi et al 2020). In general, our work provides strong support for the use of new and emerging data in a wide range of applications.
We have developed several tools for urban analytics. These include the application of open-source object detection tools to analyse of CCTV images and video, and associated protocols to support embedding these within functioning public safety operations. They also include techniques for web-scraping for social research, and associated guidance on the legal issues arising from copyright and database rights.
Research capability development
We have provided several advanced training courses on the methods, tools and guidance we have developed. For example, we published details of our approach to webscraping for social research, covering both technical and legal issues. Following that, we ran well-attended webinars on both aspects. With the work on open-source tools for CCTV analyses, we published work on the technical aspects but also the practical challenges of embedding these within a functioning public-safety facility. We ran webinars on both aspects.
Exploitation Route The knowledge generated about data service delivery in the context of new and emerging forms of data could be taken forwards in future investments in data infrastructure. We have been working with UKRI-ESRC to help shape plans in this area. Our efforts to compile, curate, document, validate and make accessible these data have rendered them usable for an enormous range of applications. Studies are also able to build on the insights we have generated in fields such as transport, housing and education.
The methodological developments in CCTV image processing and web-scraping could be promoted more widely, so that use was more widely adopted.
Our pioneering work on developing urban big data infrastructure can be built on by urban analysts to develop a new science of cities, while work on trusted smart statistics opens up wide-ranging possibilities across a huge range of areas.
Sectors Communities and Social Services/Policy,Digital/Communication/Information Technologies (including Software),Education,Environment,Healthcare,Government, Democracy and Justice,Retail,Transport

URL http://ubdc.ac.uk/research/ubdc-staff-publications/
 
Description In its first phase (2014-19), UBDC was funded as a research-led data service. From 2019 onwards, UBDC's research activities are funded under a separate award so impacts from research aspects of our work are reported elsewhere. This narrative focuses on impacts arising from our data service activities. Actual and potential beneficiaries are very diverse, including businesses, public bodies and civil society groups, nationally and internationally, across a wide range of domains or functional areas. Many additional impacts have followed from the research produced by users of our data collections but we do not seek to cover those here. We look at impacts through: use and value of our data collections; methodological developments; influence on data policies and practices; and capacity building activities. Use and value of data collections We bring enable the use of novel datasets and enhance their value through licensing collections, creating new open data products, creating integrated survey and sensor datasets, enhancing data through processing and integration, and enhancing usability through data interfaces. We have licensed a substantial number of major data collections covering a wide range of domains of urban activity. Licence terms vary depending on data owner interests and business models, so access for non-academic users varies. One early collection was from the cycling app, Strava, which has been used by a number of public authorities to facilitate planning activities, including Nestrans, the Transport Partnership for Aberdeen City/Shire, and South Tyneside Council. Commercial organisations such as multinational planning companies Sweco and Arup have used the data in their work with local authorities to validate infrastructural investment decisions. ESRI (the publisher of leading GIS platform ArcGIS) has used the data to develop and demonstrate its visualisation functionality. The data have also been used by third sector organisations interested in active travel including Cycling Scotland and Sustrans, to support research and campaigning efforts. Another licensed data collection covers property listings for rentals and sales (Zoopla, covering Britain). Our own research has provided significant validation of the Zoopla dataset as a means to study private rented housing, and we supported further validation work by ONS until licence conditions changed, limiting use to academics. ONS also used the Zoopla data in studies to guide planning of fieldwork for the Census 2021, and to chart local trends in rental markets. External academic research using the Zoopla data includes: analysis of the impact of Land and Buildings Transaction Tax reform; evaluation of the impact of windfarms on nearby house prices (Pryce); and analysis of the impacts of Airbnb on the London housing market (Shabrina et al 2021). In 2020, we took out new licences for major mobile phone data collections from two companies (Tamoco and Huq.io), covering the Glasgow city-region for 2019-21. We worked with a range of stakeholders in the city council, Scottish Government and the Geospatial Commission on the specification and licensing for these data, working to ensure access for public sector users as well as academics. The data are intended to meet the needs of stakeholders involved in transport planning, high street regeneration, neighbourhoods/sustainability policies and greenspace management, among many others. We are engaged with all of these groups to understand their analytical needs and are involving them in the research as work progresses. We have created a range of new open data collections which have already shown their value for policy makers. Data on pedestrian footfall was produced by UBDC using from Glasgow City's CCTV network. We have been publishing since 2019 but work scaled up rapidly in 2020 at Glasgow City Council's request, in order to inform their response to the pandemic. The data were also used by ONS as part of their UK-wide monitoring of urban activity levels during the pandemic. We are expanding to add vehicle counts in 2021. We developed a set of measures of accessibility to public transport, published as open data. We see scope for a wide range of uses here and are looking for opportunities to promote these. UBDC also developed open indicators of children's access to outdoor play areas and parks, capturing proximity and quality of spaces across Glasgow City. This was used by the Glasgow Centre for Population Health to develop profiles to support planning and prioritisation of children's health, social and education services in Glasgow. Other data products from UBDC include the Integrated Multimedia City Data Project (iMCD). This produced a data collection combining survey, sensor and other sources which has been widely used, notably in analysis of lifelong learning within the city of Glasgow. This included an analysis and visualisation of literacy inequalities and 'Lifewide Literacies' (e.g. health, environmental, financial and digital literacies) in Glasgow. This has led to invitations to present work to UNESCO-UIL on adult learning metrics and the production of briefing papers for UNESCO Learning Cities programme. We enhance the value of data through processing and integration, supporting a wider range of uses. We enhance impact by providing access to data products through interfaces. In 2020, we conducted research with a range of stakeholders into their interests in the context of post-pandemic recovery. From this, we are focussing on an analytical dashboard to represent urban mobility. Methodological developments One area of methodological innovation has been in relation to managing privacy risks with mobility data as these can be particularly disclosive. One development was a method for processing geospatial data in ways which protect individual privacy while preserving valuable detail or information. These have major industrial impact through our collaboration under the Innovate UK-funded Catch! project. This led to our processing framework being used by an SME, TravelAi, as they roll out their new journey planning app. The app captures valuable data about travel demand in a local area through the provision of the journey planning service. While the initial business plan centred on selling services to planning authorities to better understand the impacts of planning decisions, the company now emphasises use of the app as part of household survey data collection. We had Impact Acceleration Award to work with Strava to develop a revised data product which balances the need to ensure individual privacy is safeguarded against the analytical value of the data. This work led to clear recommendations for improvement although Strava did not prove willing to implement these in practice. In 2020, we published details for a methodology to use open tools to measure pavement widths, informing local authority social distancing measures. We published the methodology along with the initial data product. The measures were used by at least one Scottish authority. Influence on data policies and practices There have been many high-level statements of political support for better use of data in government and public policy making, not least in the National Data Strategy (2020) but the practice too often lags behind with opportunities to make valuable data accessible to government and to researchers missed. UBDC plays a strategic role here by articulating the case for greater data access, helping policy makers recognise the barriers or missed opportunities, and contributing directly to the 'digital commons' through open data, open tools and guidance. We have made inputs to many processes concerned with data availability, making the case not just for opening up data already held by public bodies but for government to be more aware of the opportunities to ensure that systems and processes run by or regulated by government capture data in ways which maximise its value for analysis, not just administration. We can point to a number of areas where our work is influencing practice in relation to specific datasets. A completed UBDC PhD (cofounded by Scottish Government) constructed a unique database of linked health and social care records for one million Scots over 65 (Henderson 2020). In addition to the substantive findings, we produced papers examining the quality and completeness of the data (Henderson et al 2018; Henderson et al 2019). The PhD and papers have been cited by the UK's Office for Statistics Regulation in its review of adult social care statistics for Scotland, and the student (now a postdoc) was invited to write a blog for them on the topic. In our work on the housing system, and on the PRS and short-term lets markets in particular, we have argued that there are several missed opportunities in the current system. Our review of the data needed to evaluate Scottish Government reforms for SPICe made several recommendations here, a number of which have found political support. We have shown that the data captured by the private landlord registration system in Scotland provides an excellent representation of the sector. We persuaded four local authorities to release extracts from the register and lobbied Scottish Government to make this data routinely available for the whole of Scotland. Outputs have been promised but not, as yet, delivered. We also made representations to the Scottish Government about opening up access to EPC data which have been successful. We presented the case for open housing transactions data to Registers of Scotland. RoS are now exploring the case in more detail, with UBDC advising. UBDC continues to influence the development of standards around data management and urban quality of life indicators. We actively participate in the Research Data Alliance Interest Group on Urban Quality of Urban Life and in a national context we have established close working relationships with BSI, the UK Standards body. The impact of data standards in the future will be to underpin national and international efforts to share and use data with reduced barriers and costs to engagement. BSI are sponsoring a collaborative PhD to continue this work. The Centre has engaged with a range of national and international statistics and data organisations including ONS, Geospatial Commission, Statistics Netherlands and EuroStat, establishing a profile within international efforts to develop trusted smart statistics. This has involved close participation with national bodies, involving data sharing, participation in data hackday activities, establishing staff fellowship opportunities and establishing a presence at key events. This ultimately led to an invitation from EuroStat to deliver a day of training on methods associated with the development of smart statistics and a lecture to key European senior policymakers. Capacity building Our training and capacity-building programmes have been attended by academic researchers, industry analysts and a range of government agencies and public service providers. UBDC training courses have been attended by more than 500 people to date. UBDC has conducted training and conveyed the essentials as well as more advanced knowledge on statistical programming and data analytics, Geographic Information Systems and spatial analysis, visualisation, and more specialist topics such as Measuring Segregation and Scale in R, "Beyond Excel": PostgreSQL for Data Management, New Mobility Perspectives in the era of Wearable Sensors. In the context of training, some key groups which have benefitted are small businesses around Glasgow such as Urban Tide, the Wheatley group, as well as devolved government agencies such as Transport Scotland, Scottish Environment Protection Agency (SEPA), NHS-Scotland and other national and local government agencies and associations. Our Msc students have undertaken a range of group and individual projects in conjunction with non-academic partners.
First Year Of Impact 2014
Sector Communities and Social Services/Policy,Digital/Communication/Information Technologies (including Software),Education,Environment,Healthcare,Government, Democracy and Justice,Retail,Transport
Impact Types Societal,Economic,Policy & public services

 
Description "Beyond Excel": PostgreSQL for Data Management
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact The purpose of this half-day training course was to aid data analysts working with very large datasets that would be difficult to analyse using spreadsheet applications such as Excel. The course was delivered by UBDC's Scientific Officer Rod Walpole who demonstrated how to conduct basic database operations using PostgreSQL, an open-source system capable of handling 'Big' Data (datasets with hundreds of millions of rows and individual tables of multiple TB in size), and the common data types for working at that scale. The course was attended by information analysts and data researchers from academia as well as public and private sector organisations.
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/beyond-exce...
 
Description Accessing the UBDC's Data Service
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact This was a training course that demonstrated how to use the Urban Big Data Centre's national data service for support on using urban data in research and accessing UDBC's open, licensed and controlled data. The course was attended by people from local authorities, charitable organisations, private businesses and university researchers and students. The impact was evidenced through increased numbers of applicants to UBDC's data service and the support and advice sought during the training session.
URL http://ubdc.ac.uk/data-services/data-services/
 
Description An Introduction to Python - Richard Skeggs, BLG DRC
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
Impact An Introduction to Python provided an opportunity for hands-on experience with Python as a programming language and to learn how it can be effectively used for data processing including big data. Pre-requisite knowledge: This is an introductory level course aimed at anyone who has an interest in using Python. Some basic programming background (enough to understand logic of programming) would however be helpful but is not required. Please contact Keith Maynard for any clarification prior to booking. Course summary: Python is an interpreted high-level programming language for general-purpose programming. Python has a design philosophy that emphasizes code readability, and a syntax that allows programmers to express concepts in fewer lines of code, notably using significant whitespace. It provides constructs that enable clear programming on both small and large scales. This course will introduce you to Python. The course will cover the basic structure and overview of the programming language and the data types that you will be able to use within the language. Course Outcomes: In this one day course delegates will learn about programming possibilities using Python. Starting with a one hour seminar the day will continue with two hands-on exercise sessions enabling you to apply the tools and techniques. The day will end with a 15-30 minute brainstorming session and discussion to help you think about applying what you have learnt to your own work.
URL https://www.ubdc.ac.uk/education-and-events/events-and-courses/past-events-2018/an-introduction-to-p...
 
Description Big Data and Internet of Things - Association of Accounting Technicians
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact UBDC researcher Dr Katarzyna Sila-Nowicka was invited to deliver this workshop to the Association of Accounting Technicians in February 2017. About 25 people attended.
 
Description Collecting and Storing Data from Internet-based Sources
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Contribution to guidance and interventions to support older people to sit less
Geographic Reach National 
Policy Influence Type Citation in other policy documents
Impact In early 2016, Richard Shaw of the MRC/CSO Social and Public Health Sciences Unit approached UBDC for help with a research project contrasting the relationships between sedentary behaviour measures on the one hand and neighbourhood measures on the other: The Seniors USP (Understanding Sedentary Patterns) project, funded by the UK Medical Research Council as part of the Lifelong Health and Wellbeing Initiative, and led by Prof Dawn Skelton of Glasgow Caledonian University. While they had a number of established datasets to call on, UBDC was able to supply useful green space data, from our SUDS urban indicators programme. This project has since made several significant contributions to the scientific literature, and guidance and intervention materials based on their findings, including the peer reviewed paper 'The Influence of Neighbourhoods and the Social Environment on Sedentary Behaviour in Older Adults in Three Prospective Cohorts' in IJERPH. The research team will, with the assistance of the Economic and Social Research Council in collaboration with Paths for All, translate the results from Seniors USP into new guidance and interventions to support older people to sit less, covering: - Developing sedentary behaviour information resources (e.g. a top tips cue card). - Developing and piloting training materials on reducing sedentary behaviour for integration into existing Paths for All walk-leader training courses. - Describing the key components and delivery mechanism of a future intervention to reduce sedentary behaviour in older adults. - There is a briefing sheet on Intervening on Sedentary Behaviour in Older Adults: From Results to Practice (PDF 4MB), from this Paths for All work. In addition to the published research paper described here, which had the support of UBDC, there are other contributions to the literature available (on BMJ Journals Volume 7, Issue 6 and BMJ Journals Volume 7, Issue 4) from Seniors USP. The team also held a webinar for researchers interested in their methods, called A Recipe for Success: Exploring the ingredients of successful data collection of objective sedentary behaviour in large scale cohort on 20th September 2017, from which a recording is available.
URL http://ubdc.ac.uk/impact/case-studies/older-people-and-sedentary-behaviour-what-s-the-connection-wit...
 
Description DWP/ESRC consultation meeting on Work, Health and Disability Green Paper
Geographic Reach National 
Policy Influence Type Participation in a national consultation
URL https://www.gov.uk/government/consultations/work-health-and-disability-improving-lives
 
Description Evaluation of Glasgows public cycle hire scheme
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Citation in other policy documents
Impact This report, 'Glasgow's public cycle hire scheme: analysis of usage between 2014 & 2016', was published in March 2017 has been read by Glasgow bike scheme managers and praised for its insight and they say it will help with future planning. The data prepared by UBDC for this evaluation has been made available as a separate slice in UBDC's Open Data Collection, to enable others to use it. This mutually beneficial collaboration is something the UBDC will repeat in future with the GCPH; one item in the pipeline is on the use of our urban indicators data to investigate children's access to greenspace in Glasgow.
URL http://ubdc.ac.uk/impact/case-studies/using-weather-data-to-understand-usage-of-glasgow-s-cycle-hire...
 
Description GCRF Centre for Sustainable, Healthy and Learning Cities and Neighbourhoods Training Workshop for Early Career Researchers: From Big Data To Better Policy - Phil Mason
Geographic Reach Multiple continents/international 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Geographically Weighted Regression - Workshop
Geographic Reach Asia 
Policy Influence Type Influenced training of practitioners or researchers
Impact UBDC researcher Dr Jing Yao delivered this workshop at Hohai University, China in June 2017.
 
Description Getting Started with Data Management
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact This course was designed to guide those with limited or no experience of using data-supported research methods through the fundamental processes from acquiring data through to best practices in data management. The need to up-skill in this area was identified by UBDC's data services team, who delivered the course, as it became clear that researchers from different disciplines needed guidance in the preparation and organisation of the data they were requesting to ensure accuracy and efficiency within the usage terms. The course explained the basic principles of data management and then introduced R as a recommended platform to perform basic data operations such as loading, merging and naming. This course equipped users of UBDC's data service as well as attendees from the Scottish Government, local councils and a private company with these necessary skills for handling their data.
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/getting-sta...
 
Description Hexograms: better maps of area based data - a tutorial
Geographic Reach Multiple continents/international 
Policy Influence Type Influenced training of practitioners or researchers
Impact This open web tutorial, by UBDC Co-Investogator Prof Rich Harris, is published on the RPubs website, part of the RStudio offering. Summary: This tutorial explores the use of hexograms to produce better maps of area based data and population distributions. Hexograms are a cross between hexagonal binning, tile maps and cartograms that aim to redress the problem of 'invisibility' prevalent in conventional maps and also the problem of distortion caused by cartograms. Examples of hexograms and the functions to produce them in R are presented. In principle those functions will work with other data (specifically, spatial polygons and spatial polygon data frames). However, it is a proof of concept not fully developed code and it's not at all optimised for speed.
URL https://rpubs.com/profrichharris/hexograms
 
Description Impact on council services
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Citation in other policy documents
Impact Nicole Paterson, Head of Environmental Assets at North Lanarkshire Council, provided the following quotation attesting to the impact of the research findings: "It has recently assisted in reporting to the Council's Audit & Scrutiny Panel the changing face of the service over time, work which given the changing nature of service delivery, Officers within the service often don't get the opportunity to step back from day to day tasks to do. It has highlighted to Members the service constraints and opportunities. "The early work has highlighted the substantial decrease in funding to the service over the last ten years and with the help of UBDC analysing trends and resultant differences in the service delivered to customers day to day. "Reflection on the historical analysis presented has enabled the service to more objectively consider the proper targeting of resources going forward, and integrate the learning into opportunities to roll out new technologies and practices within North Lanarkshire's communities. "We look forward to the further work in relation to street cleansing and deprivation, gaining an understanding of what that will mean to service delivery opportunities within North Lanarkshire, ensuring resources are targeted to make North Lanarkshire the place to live, learn, work, invest and visit."
URL https://www.ubdc.ac.uk/news-media/2020/february/using-council-data-to-understand-the-impact-of-auste...
 
Description Indian Institute of Technology (IIT) Roorkee Urban Informatics and iMCD Training Webinar
Geographic Reach Asia 
Policy Influence Type Influenced training of practitioners or researchers
Impact Webinar training delivered to Indian researchers via the IIT Roorkee Programme. As well as capacity building for Indian researchers, this event also strengthened international links and raised awareness of the UBDC service and iMCD programme.
 
Description Introduction to ArcGIS
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact IT Lab-based summer training course designed to familiarise participants with what a geographic information system is and the potential for it to be used for informed decision-making using the industry-standard ArcGIS software. The course was attended by people from local authorities, NHS, National Records of Scotland and university researchers and students from numerous disciplines. It can therefore be inferred that the upskilling of individuals in these influential roles to make more effective use of their data using ArcGIS software would give them a better understanding of the spatial dimension of their data and therefore the locations that their data apply to.
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/introductio...
 
Description Introduction to ArcGIS
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact IT Lab-based training event open to people working in the public and private sectors as well as academics and private individuals. This event was attended by people from local authorities, a charitable organisation, the Scottish Government and university researchers and students. It can therefore be inferred that the upskilling of individuals in these influential roles to make more effective use of their data using ArcGIS software would give them a better understanding of the spatial dimension of their data and therefore the locations that their data.apply to.
 
Description Introduction to Areal Data Modelling using R
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
Impact This short training course demonstrated advanced statistical measures in R to visualise spatial dependencies characterised by different areal units. The course was attended by land registry and local council data analysts and senior academic researchers who reported improvements in their ability to understand the statistical concepts and practical implementations, aided by the variety of examples brought about by the diversity in course participants.
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/introductio...
 
Description Introduction to Geographic Information Systems (GIS) - Using ArcGIS: SESSION 1
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact This training had 20 participants from academia, business and local government. Topic: The importance of understanding the spatial dimension of data has long been understood, despite that fact that this dimension is often ignored. However, recent years have seen a massive expansion in the quantity of data available. At the same time, new methods and software have opened up new opportunities for analysing spatial data. In this short course, participants will be introduced to Geographic Information Systems (GIS), a powerful tool for analysing spatial data. The purpose of this course is to familiarise participants with what a geographic information system is and the potential for it to be used for informed decision-making.
 
Description Introduction to Geographic Information Systems (GIS) - Using ArcGIS: SESSION 2
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact This training session included 20 participants from academia, business and local government. Topic: The importance of understanding the spatial dimension of data has long been understood, despite that fact that this dimension is often ignored. However, recent years have seen a massive expansion in the quantity of data available. At the same time, new methods and software have opened up new opportunities for analysing spatial data. In this short course, participants will be introduced to Geographic Information Systems (GIS), a powerful tool for analysing spatial data. The purpose of this course is to familiarise participants with what a geographic information system is and the potential for it to be used for informed decision-making.
 
Description Introduction to Network Analysis in ArcGIS
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact This training had 20 participants from academia, business and local government. Course topic: Network analysis is a particularly useful class of analysis, which can be performed with a Geographic Information System (GIS). Network analysis allows us to analyse problems which are connected to the transportation of goods or people across a network. Using these methods we can consider questions such as: What is the shortest route between two points? What is the service area for a facility? Where should bus stops be placed along a route in order to maximise ridership? The course covered how to get routing data, import it into ArcGIS and then perform analysis. This course builds on your existing GIS knowledge with a focus on network analysis for understanding spatial data and making informed, data-driven decisions that can be applied to urban planning and policymaking.
 
Description Introduction to Network Analysis in ArcGIS
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact This half day training course was designed to build on existing GIS knowledge with a focus on network analysis for understanding transport network data and making informed, data-driven decisions that can be applied to urban planning and policymaking. The course was attended by Service Developers from Glasgow City Council, health researchers and PhD students from across the UK.
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/introductio...
 
Description Introduction to QGIS
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact This short course provided attendees with the foundations of geospatial data and GIS theory using the open source software QGIS. Delegates from the Scottish Government, the Land Registry and researchers in a variety of disciplines to visualize, manage and analyse geospatial data. Time was provided at the end of the session for the course attendees to practice using examples of their own spatial data with the software. Fran Hogg, a SASNet fellow at UBDC attended the course and was able to put her learning into immediate practice on her project analysing geospatial data for school cycle routes.
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/introductio...
 
Description Introduction to QGIS
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact IT Lab-based training event open to people working in the public and private sectors as well as academics and private individuals. This event was attended by people from local authorities, NHS Scotland Health Information professionals and university researchers and students. This course shared similarities with UBDC's introductory ArcGIS course but used the free open source software QGIS which many participants found to be more easily obtainable. It can therefore be inferred that the upskilling of individuals in these influential roles to make more effective use of their data to give them a better understanding of the spatial dimension of their data and therefore the locations that their data.apply to.
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2016/introductio...
 
Description Introduction to R
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact IT Lab-based training event open to people working in the public and private sectors as well as academics and private individuals. This event was attended by people from the Scottish Government, NHS Scotland Health Information professionals and university researchers and students. This course taught the skills required to perform basic analysis of a variety of data types using the free open source software R. It can therefore be inferred that the upskilling of individuals in these influential roles to make more effective use of their data by using R's powerful analytical and visualisation functions.
 
Description Introduction to R
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact IT Lab-based training event open to people working in the public and private sectors as well as academics and private individuals. This event was attended by statisticians from the Scottish Government, as well as people from Glasgow City Council. Policy Scotland and university researchers and students. This course taught the skills required to perform basic analysis of a variety of data types using the free open source software R. It can therefore be inferred that the upskilling of individuals in these influential roles to make more effective use of their data by using R's powerful analytical and visualisation functions.
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/introductio...
 
Description Introduction to R for NHS Services Scotland
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact IT Lab-based data skills training. This course was booked out by a cohort of statisticians and healthcare analysts from NHS Services Scotland who were taught the skills required to perform basic analysis of a variety of data types using the free open source software R. It can therefore be inferred that the upskilling of individuals in these public healthcare roles will enable more effective use of their data by using R's powerful analytical and visualisation functions.
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/ubdc-traini...
 
Description Introduction to R for Spatial Analysis
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact This training was attended by 27 participants from academia, business and local government. Topic: As a powerful open-source tool for statistical analysis, R has been increasingly utilised in higher education, scientific research and practice. The purpose of this course is to introduce basic knowledge of R, such as how to load data into R and how to visualise data using different visualisation methods. By the end of the course, you will be able to load data into R, calculate descriptive statistics, implement hypothesis testing and carry out generalised linear regression analysis. Through this introductory course, we aim to provide analysts with the foundational skills needed to use R for statistical analysis, which can be applied to research as well as practical planning situations.
 
Description Introduction to R: SESSION 1
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact This training had 20 participants from academia, business and local government. Topic: As a powerful open-source tool for statistical analysis, R has been increasingly utilised in higher education, scientific research and practice. The purpose of this course is to introduce basic knowledge of R, such as how to load data into R and how to visualise data using different visualisation methods. By the end of the course, you will be able to load data into R, calculate descriptive statistics, implement hypothesis testing and carry out generalised linear regression analysis. Through this introductory course, we aim to provide analysts with the foundational skills needed to use R for statistical analysis, which can be applied to research as well as practical planning situations.
 
Description Introduction to R: SESSION 2
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact This training had 20 participants from academia, business and local government. Topic: As a powerful open-source tool for statistical analysis, R has been increasingly utilised in higher education, scientific research and practice. The purpose of this course is to introduce basic knowledge of R, such as how to load data into R and how to visualise data using different visualisation methods. By the end of the course, you will be able to load data into R, calculate descriptive statistics, implement hypothesis testing and carry out generalised linear regression analysis. Through this introductory course, we aim to provide analysts with the foundational skills needed to use R for statistical analysis, which can be applied to research as well as practical planning situations.
 
Description Introduction to Scientific Computing with Python
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact The course aimed to equip data scientists from academia, local councils and statistical departments within the Scottish Government with data analysis skills in Python using high-level libraries such as managing data using NumPy, performing mathematical SciPy algorithms, managing numerical tables in Pandas and plotting figures in Matplotlib. The course was designed to develop knowledge and experiences of scripting in Python according to the attendees' specific data analysis requirements and prepare them for future learning around the wider ranges of Python libraries.
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/introductio...
 
Description Introduction to data wrangling and visualisation in R
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact UBDC University of Sheffield researcher Dan Olner delivered a one day interactive workshop teaching programming in R, using English house price data to learn about data shaping and visualisation.
URL http://danolner.github.io/2016/12/Introduction_to_data_wrangling_n_viz_in_R
 
Description Measuring Segregation and Scale in R
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
Impact This hands-on half-day course delivered by guest presenter Professor Richard Harris, University of Bristol, demonstrated the MLID package in R, which offers tools and functions for studying ethnic and social segregation with a multilevel index of dissimilarity. The course was attended by a largely academic audience with analysts from The Registers of Scotland, interested in hazard/risk mapping also in attendance. They reported very positive learning outcomes and an undaunting use of the R environment to work through the practical exercises.
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/measuring-s...
 
Description Membership of BSI Committee MBD/1: Big data - MBD/001/0-/03 Project Communications
Geographic Reach National 
Policy Influence Type Membership of a guideline committee
Impact UBDC Senior IT & Data Services Manager, Dr Andrew McHugh, is a members of this committee, which makes a contribution to development of standards and exploring resolution of issues associated with widespread adoption of big data.
 
Description Membership of BSI Committee SDS/2: Smart and sustainable cities and communities
Geographic Reach National 
Policy Influence Type Membership of a guideline committee
Impact UBDC Senior IT & Data Services Manager, Dr Andrew McHugh, is a member of this BSI committee, whose work makes a contribution to development of standards informing city development including quality of life indicators for cities and exploring resolution of issues associated with widespread adoption of big data.
URL https://standardsdevelopment.bsigroup.com/committees/50267187
 
Description Optimisation Problems in Geographically Weighted Regression - Workshop
Geographic Reach Asia 
Policy Influence Type Influenced training of practitioners or researchers
Impact Delivered as workshop by UBDC researcher Dr Jing Yao to School of Government, Peking University, China.
 
Description Participation in Department for Transport / FutureGov Consultation on National Access Point (UK National Transport Data Catalogue)
Geographic Reach National 
Policy Influence Type Participation in a national consultation
Impact This is primarily manifested in improvements in the provision of data cataloguing and access services around transport data.
URL https://www.digitalmarketplace.service.gov.uk/digital-outcomes-and-specialists/opportunities/12774
 
Description Principles of Visualising Data in R - Dan Olner, Sheffield University
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
Impact Dan Olner, UBDC Research Associate, University of Sheffield, ran a workshop on the 22.02.19 to UoS social science PhDs, "Principles of visualising data in R."
 
Description Principles of Visualising Data with R and ggplot
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact UBDC University of Sheffield researcher Dan Olner delivered this one day workshop teaching programming in R, using English house price data to teach underlying principles of data manipulation and visualisation.
URL http://danolner.github.io/2017/09/Learn_ggplot_and_R_using_English_house_price_and_wage_data
 
Description Principles of Visualising Data with R and ggplot
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact This short course built on the basics of R to explore its powerful and versatile open-source visualisation packages. The primary purpose of the course was to make the underlying principles of tidy data and ggplot as clear as possible to allow the course attendees to make more informed decisions on how to visualise their data. The varied group of attendees ranging from university to researchers to public health analysts and economists reported very satisfactory outcomes and returned for further related courses in the programme.
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/principles-...
 
Description Prof Gwilym Pryce gave evidence to Housing White Paper consultation document on affordability in local housing plans
Geographic Reach National 
Policy Influence Type Gave evidence to a government review
Impact Ministry of Housing, Communities and Local Government response published in 2018.
URL https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/685297/Government_response...
 
Description Prof Gwilym Pryce gave oral evidence to the House of Commons CLG Committee on Housing for Older Persons (January 2018)
Geographic Reach National 
Policy Influence Type Gave evidence to a government review
Impact Report published 2018.
URL http://www.parliament.uk/business/committees/committees-a-z/commons-select/communities-and-local-gov...
 
Description Prof. P Thakuriah contributed to: U.K. Parliamentary Office of Science and Technology. Big and Open Data in Transport. Houses of Parliament POSTNOTE Number 472 July 2014.
Geographic Reach National 
Policy Influence Type Participation in a national consultation
URL http://researchbriefings.parliament.uk/ResearchBriefing/Summary/POST-PN-472
 
Description Prof. P Thakuriah participated in US policy forum: U.S. Government Accountability Office. Data and Analytics Innovation: Emerging Opportunities and Challenges
Geographic Reach National 
Policy Influence Type Gave evidence to a government review
URL http://www.gao.gov/products/GAO-16-659SP
 
Description Project advisory group
Geographic Reach National 
Policy Influence Type Participation in a advisory committee
 
Description RSS Conference 2017 Professional Development Session: Getting your research published and maximising its impact
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact This session at the Royal Statistical Society Conference 2017 was for early career / young researchers and/or those who wish to publish their work in academic journals and magazines and raise the visibility of their research.It provided advice for writing journal articles, give an overview of the journal review processes, and explore available self-promotional tools. UBDC Mathematics and Statistics Co-Investigator, Prof Adrian Bowman, was one of the speakers, covering key elements of writing a research article, explore what makes a "good" article, and mention some common mistakes to avoid..
URL https://events.rss.org.uk/rss/frontend/reg/titem.csp?pageID=39088&eventID=93
 
Description Report to Glasgow City Council on SUPPORTING INDEPENDENT LIVING THROUGH THE PREDICTION AND PREVENTION OF FALLS
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Citation in other policy documents
Impact UBDC collaborated with Glasgow City Council on sourcing and acquiring various data to assist with prevention of falls among the elderly in Glasgow. UBDC then offered research support in the production of the above-named report. We are awaiting further news on the report's impact on planning.
URL http://ubdc.ac.uk/media/1632/supporting-independent-living-report-etaine-lamy-231017.pdf
 
Description Research with administrative data: opportunities and legal framework
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
Impact The Urban Big Data Centre (UBDC) in collaboration with the Data Protection and Freedom of Information Office (DPFOI) at the University of Glasgow, delivered this seminar on research with administrative data about individuals. This was an introductory seminar for researchers who are thinking of using administrative data in the future. The seminar covered: - the purpose of research services, such as the UBDC, which aim to support researcher access to administrative data; - the legal framework that regulates research with personal data, particularly the Data Protection Act of 1998; and - the research process, from constructing a proposal through applying for data to conducting analyses.
URL http://www.gla.ac.uk/researchinstitutes/healthwellbeing/events/headline_457900_en.html
 
Description Sabine Timpf Masterclass: Agent-based modelling of pedestrian behaviour
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
Impact 22 researchers attended this Masterclass, hosted at UBDC's Glasgow premises.
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2016/sabine-timp...
 
Description Scottish Parliament Information Centre Academic Fellowship
Geographic Reach National 
Policy Influence Type Gave evidence to a government review
URL https://digitalpublications.parliament.scot/ResearchBriefings/Report/2018/11/14/Private-renting-refo...
 
Description UK Govt BIS Consultation on Proposals for Long-Term Capital Investment in Science and Research - Prof Thakuriah
Geographic Reach National 
Policy Influence Type Participation in a national consultation
URL https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/332767/bis-14-750-science-...
 
Description Urban Big Data for Trusted Smart Statistics - Eurostat Training
Geographic Reach Europe 
Policy Influence Type Influenced training of practitioners or researchers
Impact UBDC provided training to introduce Eurostat staff (primarily statisticians and managers: 28 registered participants from various countries) to the developments currently happening in the smart systems and smart cities world, with a focus on smart transportation systems and mobility. It covered an overview of the main sources of urban big data, including sensors and the Internet of Things, crowd-sourced mobility data, data aggregated from websites and other Internet sources, wearable technologies. It continued to describe how these data sources can be integrated, from the technical infrastructure to methodologies for producing statistical information, as well as other topics of relevance in the domain of urban big data. Learning outcomes included establishing an understanding of urban, smart cities and transport sectors; identification of data, methods and tools; comprehension of opportunities, risks and strategies with the acquisition and sustainability of data; and understanding of innovate business cases in smart statistics in the sector.
 
Description Use of data-generating wearables in academic research
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
Impact One of the most interesting areas of research at UBDC - particularly within our iMCD programme and subsequent leading-edge research based on iMCD data - is the use of wearable devices by research participants to gather detailed data. A small subset of folk who had taken part in the Household Survey element of the iMCD project also spent a week wearing GPS tracking devices and lifelogging cameras everywhere they went. We soon found that others working on a variety of research topics wanted to not only use the knowledge we had gained from doing this but also to borrow our wearable devices to collect data. We not only lend out the devices where asked, but have developed an advice sheet and work with them on developing the use of these devices in their research. Two external researchers have now given us blog posts evidencing the usefulness of this work, with one published and one on its way.
URL http://ubdc.ac.uk/news/2017/october/students-digital-practices-in-post-digital-environments/
 
Description Using ArcGIS: Network Analysis
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact IT Lab-based training event open to people working in the public and private sectors as well as academics and private individuals. This event was a follow-up to the introductory ArcGIS course with focus on applying the skills to analysing networks e.g. transportation networks. It was attended by people from the Scottish Government, an environmental organisation and university researchers and students. It can therefore be inferred that the upskilling of individuals in these influential roles to make more effective use of their data using ArcGIS software would give them a better understanding of the spatial dimension of their data and therefore the locations that their data.apply to.
 
Description Using PySAL for Spatial Analysis - Workshop
Geographic Reach Asia 
Policy Influence Type Influenced training of practitioners or researchers
Impact UBDC researcher Dr Jing Yao delivered this workshop at Hohai University, China in June 2017.
 
Description Using R: Mapping Spatial Data
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact The purpose of this course was to introduce some common functions in R in relation to spatial data visualisation and mapping, ranging from basic data manipulation to choropleth mapping. By the end of the course, the large, mixed group of attendees (Developers and GIS analysts from Scottish Government, a cycling data charity and the land registry) were able to load geographic data into R and manipulate those data to generate a variety of maps and visualisations.
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/using-r-map...
 
Description Using R: statistical analysis
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact IT Lab-based training event open to people working in the public and private sectors as well as academics and private individuals. This event was attended by people from the Scottish Government's statistical and accountancy departments, NHS Scotland Health Information professionals and university researchers and students. This course followed on from the introductory R course with detailed focus on applying more advanced statistical techniques in data analysis using this open source software. It can therefore be inferred that the upskilling of individuals in these influential roles to better analyse their data using this free statistical software package.
 
Description Using iMCD Household Survey for MSc classes
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
Impact UBDC researcher Dr Jinhyun Hong used two of his papers (one published and the other one under review) that utilised the iMCD survey for class materials at the University of Glasgow (Msc in Urban Transport, MSc in City Planning and Transport).
 
Description Working with Administrative Data: From Ideas to Research (Manchester)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
Impact UBDC / SASNet event - UBDC Data Scientist Dr Mirjam Allik led this training session for 20 researchers in Manchester. Topic: Leading urban and social science increasingly use individual level data collected by public bodies, companies or other organisations for research purposes. This is a seminar on accessing these types of administrative data for research.
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/working-wit...
 
Description CATCH! Citizens at the City's Heart
Amount £1,570,791 (GBP)
Funding ID 102426 
Organisation Innovate UK 
Sector Public
Country United Kingdom
Start 01/2016 
End 03/2018
 
Description CDT in Data Analytics and Society (1)
Amount £6,000,000 (GBP)
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 10/2017 
End 09/2021
 
Description CDT in Data Analytics and Society (2)
Amount £6,000,000 (GBP)
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 10/2017 
End 09/2021
 
Description Climate-KIC Pathfinder Programme
Amount £48,927 (GBP)
Organisation Climate-KIC 
Sector Charity/Non Profit
Country United Kingdom
Start 12/2017 
End 12/2018
 
Description Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics
Amount £3,055,465 (GBP)
Funding ID EP/R018634/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 05/2018 
End 04/2022
 
Description College of Social Science PhD Scholorship
Amount £82,465 (GBP)
Organisation University of Glasgow 
Department College of Social Sciences
Sector Academic/University
Country United Kingdom
Start 09/2019 
 
Description College of Social Science PhD Scholorship
Amount £61,327 (GBP)
Organisation University of Glasgow 
Department College of Social Sciences
Sector Academic/University
Country United Kingdom
Start 09/2019 
 
Description EPSRC Computer Science Intern for UBDC Data
Amount £2,500 (GBP)
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 06/2016 
End 08/2016
 
Description EPSRC Institutional Sponsorship Fund (University of Glasgow)
Amount £13,422 (GBP)
Funding ID EP/N508792/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 11/2015 
End 03/2016
 
Description EPSRC New Approaches to Data Science Call
Amount £3,055,000 (GBP)
Funding ID EP/R018634/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 05/2018 
End 04/2022
 
Description ESRC Impact Acceleration Account (University of Glasgow)
Amount £9,928 (GBP)
Organisation University of Glasgow 
Sector Academic/University
Country United Kingdom
Start 02/2017 
End 11/2017
 
Description ESRC Impact Acceleration Account (University of Glasgow) Strava Privacy Study
Amount £11,160 (GBP)
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 04/2019 
End 07/2020
 
Description ESRC Supplementary Award (UBDC Data Service)
Amount £838,853 (GBP)
Funding ID ES/L011921/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 10/2020 
End 03/2021
 
Description European Commission FP7 Marie Curie Career Integration Grants
Amount € 76,538 (EUR)
Funding ID Project Number 632075, Call identifier FP7-PEOPLE-2013-CIG 
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 05/2014 
End 04/2018
 
Description European Commission funding
Amount € 3,000 (EUR)
Organisation European Commission 
Department Eurostat
Sector Public
Country European Union (EU)
Start 02/2018 
End 02/2018
 
Description Exploiting Closed-Loop Aspects in Computationally and Data Intensive Analytics
Amount £3,055,465 (GBP)
Funding ID EP/R018634/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 05/2018 
End 04/2022
 
Description Exploring the Effects of Location and Environment on Human Mobility Flows with Big Data Analytics
Amount £73,681 (GBP)
Organisation Scottish Graduate School for Social Sciences 
Sector Academic/University
Country United Kingdom
Start  
 
Description Glasgow-Nankai Research Exchange Grant
Amount £1,500 (GBP)
Organisation University of Glasgow 
Sector Academic/University
Country United Kingdom
Start 01/2015 
End 12/2017
 
Description Global Challenges Research Fund (GCRF) Research Councils UK Collective Fund
Amount £7,105,262 (GBP)
Funding ID ES/P011020/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 10/2017 
End 12/2021
 
Description Horizon 2020 Research and Innovation Framework Programme
Amount £2,508 (GBP)
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 10/2017 
End 09/2020
 
Description ISPRS Foundation and Congress Travel Grant
Amount £700 (GBP)
Organisation International Society of Photogrammmetry and Remote Sensing (ISPRS) 
Sector Learned Society
Country Global
Start 07/2016 
End 07/2016
 
Description Impact Study, British Council School Programmes in Scotland
Amount £66,807 (GBP)
Organisation British Council 
Sector Charity/Non Profit
Country United Kingdom
Start 03/2018 
End 09/2018
 
Description Innovate UK Small Business Research Initiative
Amount £199,900 (GBP)
Organisation Innovate UK 
Sector Public
Country United Kingdom
Start 01/2016 
End 12/2017
 
Description NPIF Innovation Fellowship Scheme
Amount £302,344 (GBP)
Funding ID ES/S002875/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 01/2018 
End 12/2020
 
Description Postdoctoral and Early Career Researcher Exchanges Funds
Amount £2,500 (GBP)
Organisation Scottish Alliance for Geoscience, Environment and Society (SAGES) 
Sector Academic/University
Country United Kingdom
Start 08/2016 
End 07/2017
 
Description SGSSS-DTP Pathway: Human Geography, Environment and Urban Planning
Amount £73,681 (GBP)
Organisation Scottish Graduate School for Social Sciences 
Sector Academic/University
Country United Kingdom
Start 10/2017 
End 03/2021
 
Description Scottish Parliament Information Centre Academic Fellowship Scheme
Amount £1,617 (GBP)
Organisation Scottish Parliament 
Sector Public
Country United Kingdom
Start 03/2018 
End 06/2018
 
Description Social and Economic Implications of Transport Sharing and Automation
Amount £302,344 (GBP)
Funding ID ES/S001875/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 01/2018 
End 01/2021
 
Description UBDC Data Service Extension
Amount £1,111,150 (GBP)
Funding ID ES/L011921/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 11/2020 
End 03/2022
 
Description UK-China Research and Innovation Partnership Fund (Newton Fund)
Amount £606,945 (GBP)
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 01/2016 
End 12/2018
 
Description UKRI ESRC Centres Transition Funding
Amount £4,500,000 (GBP)
Funding ID ES/S007105/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 01/2019 
End 01/2024
 
Description University of Glasgow Research Exchange Grant
Amount £1,500 (GBP)
Organisation University of Glasgow 
Sector Academic/University
Country United Kingdom
Start 07/2015 
End 08/2015
 
Description Urban Transformations
Amount £781,247 (GBP)
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 01/2016 
End 12/2018
 
Title Automated API/Scraping based approach to AirBnB Data Collection 
Description This is bespoke infrastructure that utilises publicly accessible APIs and, based on the Text and Data Mining Exception from UK and EU copyright law, collects online AirBnB listings data for the purposes of academic research. The platform itself (still in development) provides the means to specify a location of interest, managing call and traffic constraints associated with AirBnB's platform and providing a persistent datastore that can then be the basis for bespoke extracts and specific research enquiries. 
Type Of Material Improvements to research infrastructure 
Year Produced 2020 
Provided To Others? No  
Impact The platform remains in development but already is providing a basis for data collection that will inform research into housing, neighbourhoods and the impact of the new sharing economy. Ultimately, although copyright law does not appear to permit us to share the collected data, we will release the code to facilitate others' data collection efforts in due course. 
 
Title Enhanced social media geolocalisation 
Description Researchers in multiple disciplines have used social media to study various patterns and "live" aspects of cities. However, the number of tweets that are explicitly geo-tagged by users tend to be sparse (just 1 to 2% of the entire Twitter firehose) so that locations of critical events tweeted may be missed when considering geo-tagged tweets only. specific approach to enhancing the geographic details of non-geotagged tweets. This method deals with estimating the location where a tweet originated using multiple approaches. The process of estimating the locations of posts that are not associated with explicit coordinates is called "geolocalization". The method has the potential to substantially increase the sample size of tweets available for real-time traffic operations assessment, event detection, public mood change detection and geo-localised community detection. 
Type Of Material Improvements to research infrastructure 
Provided To Others? No  
Impact The method has the potential to substantially increase the sample size of tweets available for real-time traffic operations assessment, event detection, public mood change detection and geo-localised community detection. Specific applications include real-time road and transport incident detection as well as political and social event detection. 
 
Title GPS Linked Data Anonymisation 
Description The method safeguards against re-identification of persons from Global Positioning System (GPS) data on significant locations and Points of Interest visited by persons carrying or using GPS devices. Trajectory datasets are being generated in great volumes due to high levels of GPS and Location-Based Services (LBS) use. Such data are increasingly being collected for a variety of academic, industrial and recreational reasons, sometimes together with other strands of personal data such as socio-demographic, social survey and other sensor data carried/worn by the person (for example, fitness trackers, portable cameras etc). In such cases, not only are movement data of a person available but also data on potentially a wide variety of other personal and household attributes. Making such person-level data available for analytics opens up the possibility of new directions in analysing, studying and understanding human behaviour, which is typically not possible with GPS trajectory datasets alone. At the same time, the GPS data should be released in a privacy-preserving way that takes into account the possibility of re-identification of individuals from quasi-identifiers available from other data strands. De-identification in these strands may be risked due to uniquely identifiable information on significant locations and other spatial behaviours and choices detected from GPS trajectories. This is a privacy-enhancing approach, when personally-identifiable data are available from multiple data strands, for the specific purpose of data to be released for transport research. 
Type Of Material Improvements to research infrastructure 
Provided To Others? No  
Impact The approach was tested and ulitised to anonymise GPS data collected as a part of UBDC's Integrated Multimedia City Data (iMCD) project. This data will be made available as a part of our data service to users who undergo our research approvals process. The social survey part of the project has already been requested and are currently being used by over 70 users as per our last Calls for Expressions of Interest (dated September 26, 2016). We expect this number to become even higher with our new call, which is due to be complete by the end of Marchj 2017. A paper on the topic was published in the proceedins of an international conference. The reference is: Sila-Nowicka, K., and Thakuriah, P. (2016) The trade-off between privacy and geographic data resolution. a case of GPS trajectories combined with the social survey results. In: XXIII ISPRS Congress, Prague, Czech Republic, 12-19 Jul 2016, pp. 535-542. (doi:10.5194/isprs-archives-XLI-B2-535-2016) 
 
Title IT platform additions to facilitate machine learning (including computer vision) and data management redundancy 
Description UBDC has added remotely accessible high power compute / GPU capacity, available to all data scientists and researchers within UBDC and potentially accessible to data service users. These services are increasingly important within UBDC as the Centre's focus intensifies on data services built on technologies such as computer vision, text and data mining, spatial interpolation and pattern detection and other novel information extraction methods. A remotely accessible service optimises our investment, offering resources to the Centre's data science and researcher communities where additional compute power is required, complementing lower spec hardware accessible on each staff member's desktop. Furthermore, additional fast storage to support additional data creation requirements. The current iteration of our data service delivery model relies on de-normalised and frequently redundant datasets in order to offer data retrieval, extraction and delivery services at scale in an efficient manner. The addition of these resources will facilitate this approach. 
Type Of Material Improvements to research infrastructure 
Year Produced 2021 
Provided To Others? No  
Impact To follow 
 
Title Web Scraping Tool 
Description This tool was developed with the aim to retrieve online data from the Scottish Assessors Association (https://www.saa.gov.uk) website. Python language was used for the implementation; the tool can be run from the command line by providing some arguments. 
Type Of Material Improvements to research infrastructure 
Year Produced 2018 
Provided To Others? Yes  
Impact This assistive tool facilitated the collection of the SAA data which then was used for research purposes. 
 
Title Zoopla Analysis for Adverts Mentioning People Receiving Housing Benefits 
Description In the context of the research regarding housing, a need has arisen to investigate the case of online property rental adverts hesitating or refusing to let their properties to people who are receiving housing benefits. The analysis used Zoopla online rental adverts from the whole UK from 2013 to 2016. First, using appropriate keywords, we gathered a set of adverts, creating two subsets, the ones that welcome people with benefits and the ones that don't. Then, we looked into the different aspects of the properties of those subsets, e.g location, number of bedrooms, price trying to see the correlation between them and whether the adverts lean positively or negatively towards the two different groups. We also investigated the language being used to describe this behaviour and whether this has changed over the years. The analysis provides visualisation charts and plots that prove the findings and discusses the reasons we chose to look into different factors. 
Type Of Material Improvements to research infrastructure 
Year Produced 2019 
Provided To Others? Yes  
Impact This has equipped UBDC housing researchers to identify the extent of discrimination against benefits claimants within online job advertisements 
 
Title iMCD Lifelogging Face and Person Detection Tools/Methods 
Description In order to apply face and person detection, we set up an Object Detection framework. Object Detection algorithms typically use extracted features and learning algorithms to recognise instances of an object category, which in this case is either a face or a person. For detecting faces in the images, we used the Dlib library, a C++ toolkit containing machine learning algorithms and tools. In detail, we used a CNN (Convolutional Neural Network) - based face detector with a pre-trained model that is used to find faces in an image. The model was trained with various publicly available image datasets with faces, after being manually annotated. We tested the model across a test set of 1200 images and we manually went through the images to assess the detection accuracy. We acquired a precision of 0.996 and a recall of 0.869, very high scores given the nature of the dataset. For detecting persons in the images, we used the Tensorflow Object Detection API, an open source framework built on top of TensorFlow that makes it easy to construct, train and deploy object detection models. Specifically, we used a pre-trained model that was trained with the Common Objects in Context (COCO) dataset. Tensorflow used COCO to train several different neural networks and made them publicly available by reporting their speed and performance. We used a Faster R-CNN (specifically the faster_rcnn_inception_resnet_v2_atrous_coco - see http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz) as it has high performance and quite good speed for our purposes. Similar to the face detection case, we also tested this model on our test set, acquiring precision of 0.944 and recall of 0.851. 
Type Of Material Improvements to research infrastructure 
Year Produced 2018 
Provided To Others? Yes  
Impact Within the context of iMCD research these methods and tools provided a novel approach to analyse extent of social isolation in everyday life. 
 
Title Aberdeen Landlord Registration Data 
Description Landlord registration data for Aberdeen provided at 15th August 2017. The data was provided at postcode for each of the properties and then aggregated to the Datazone level. 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? Yes  
Impact Published as open data following successful Freedom of Information Request to Aberdeen City Council - it is hoped that this will be the start of a co-ordinated approach to make this data increasingly available across many more local authorities 
URL http://ubdc.gla.ac.uk/dataset/aberdeen-landlord-datazone-registration
 
Title Adzuna Online Jobs Listings Data 
Description Adzuna is a search engine for job advertisements and provides data about the job market. Adzuna searches thousands of websites and brings together millions of advertisements on their website. The dataset consists of full point-in-time snapshots with details of all advertisements which were on adzuna.co.uk. Access to historical data from Spring 2017 is provided in addition to ongoing data to Spring 2022. Non-commercial academic use, up to a total of twelve projects, can be supported by the dataset. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact To follow 
 
Title AirBnB Online Scraped Data Collection 
Description This dataset comprises scraped data from the AirBnB online short-term letting service. It includes details of calendar status captured daily with coverage including most of Scotland and several locations in England as well as property characteristics and user feedback (review) information. The dataset is not available to a wider audience at this time. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? No  
Impact To follow 
 
Title An Agent Based Model of Social Exclusion 
Description Developed by UBDC's University of Illinois at Chicago's research team, this agent based model (ABM) simulates household, neighbourhood and labour market interactions. It aims to recreate the processes that lead to social exclusion, incorporating decisions on education, family formation, interactions with neighbourhood and other factors, and the labour market. Once the model is calibrated to a given area, it can then be used as a testing environment for different policies or changes in the urban environment. 
Type Of Material Computer model/algorithm 
Year Produced 2017 
Provided To Others? No  
Impact One finding from the empirical work is the strong association between childhood experiences of poverty and what happens in adulthood. This work suggests that intervention to reduce childhood poverty experiences not only address the immediate needs of children but can also have positive consequences in adulthood. 
URL http://ubdc.ac.uk/news/2017/october/economic-outcomes-of-long-term-childhood-poverty/
 
Title CCTV Automated Object Detection Data Output 
Description An output of the ongoing collaboration with Glasgow City Council to utilise Glasgow's existing CCTV system as a ready made sensor network, this dataset comprises counts over time of particular object types (car, person, bicycle, motorcycle, bus and truck) at each of the pilot sites within the CCTV study. As of 2021 there are in the region of 50 cameras providing imagery for processing / counting at generally 30 minute intervals. The dataset is now available from a dedicated online API (see Software & Technical Products) as of 2020. A further dataset records the outcomes of manual counts produced to provide ground truth data, used as the basis for evaluating the effectiveness of the automated counts. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? No  
Impact The database already informs and will continue to inform the development of new work evaluating the impact of major capital investment currently ongoing within the City of Glasgow. The project is particularly in response to sparse pedestrian count data which is available for cities such as Glasgow. Those datasets that are available tend to be confined to specific locations (see Springboard data also acquired by UBDC) or prohibitively expensive (e.g. mobile phone / telcom data). This dataset, and underlying approach are intended to reveal insights across the whole city and not require investment in procuring, deploying and maintaining costly new sensor technologies. The dataset has seen several applications during Covid19 and has been expanded to include additional camera locations throughout Glasgow to reflect specific policy and operational needs. The dataset has been used as part of a UK wide effort to collate similar data undertaken by ONS. Discussions with Glasgow City Council are ongoing to enable the release of the dataset as open data. These are mature and there is considerable optimism that this will be achieved in the near future. 
URL https://www.ubdc.ac.uk/data-services/data-catalogue/transport-and-mobility-data/glasgow-cctv-data/
 
Title Edinburgh Landlord Registration Data - Mark Livingston 
Description Edinburgh Landlord Registration data is landlord registration data for Edinburgh created at 10th November 2017 and shared the file on the 13th November 2017. The data was provided under Freedom of Information (Scotland) Act 2002 for each of the property at postcode level. Number of properties is also recorded at each postcode. 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? Yes  
Impact Published as open data following successful Freedom of Information Request to Edinburgh City Council - it is hoped that this will be the start of a co-ordinated approach to make this data increasingly available across many more local authorities. 
URL http://ubdc.gla.ac.uk/dataset/edinburgh-landlord-registration-data
 
Title Graphics for uncertainty 
Description Data and code underpinning the associated paper. 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? Yes  
 
Title Housing tenure and poverty database 
Description Derived by aggregating data from Family Resources Survey 1994-2016, dataset shows proportions of people living in each housing tenure by poverty status, for single year of age and single year of time. UK and regional breakdowns. Data are smoothed to ensure privacy preserved. Data are used to construct Lexis surfaces to visualise the changes in housing tenure over time, and the shifts in housing tenure for those poor/not poor using different poverty metrics. Data made available on line through interactive housing tenure-poverty visualiser tool. Aggregated data freely available to download from that site (hosted by UBDC) and from github repository. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact Significant public and policy maker interest in the 
URL https://github.com/nick-bailey/Poverty-and-private-renting
 
Title Huq.io Mobility Dataset 
Description Huq's event-level geo-data offers a rich and descriptive record of how consumers move and interact with the places around them. Huq's footfall data can be combined with other data sources to build predictions relating to how public entities are likely to report, specifically, where it concerns footfall correlated with revenue. The data can be used to observe how consumers interact with traded or private physical assets in order to observe changes in consumer trends and consider how those may affect their investment positions. UBDC has licensed data covering (spatially) Glasgow, North Lanarkshire, Inverclyde, Renfrewshire, East Renfrewshire, West Dunbartonshire, East Dunbartonshire and (temporally) the 3 year period from 2019 to 2021. Academic researchers or postgraduate students based in UK higher education institutions and employees of public sector/government organisations may access and use the data for purposes of non-commercial research including academic research and to support policy and operational work 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact To follow 
 
Title Intersections Geography for Five UK Censuses 
Description Intersections data to provide a means to link census data over multiple collection years. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact Tool to facilitate census research, specifically the harmonised country of birth data. Created by Dan Olner, UBDC Sheffield University Researcher. 
URL http://ubdc.gla.ac.uk/dataset/great-britain-5-census-intersects
 
Title Lead prevalence by postcode sectors (Glasgow, 1993-94) 
Description This data is presented in spreadsheet form, and lists the 1991 Glasgow postcode sectors together with the relative prevalence of raised tap water lead and neighbourhood types depicted in the map of the Glasgow 93 lead study final report. The original map (black and white) was divided here into six parts which cover different areas of the city (Central, N, NW, NE, SW, SE). Another map (purple) which shows accurate boundaries of the 1991 postcode sectors has been superimposed over them. Seven postcode sectors cover two areas and are coded differently in Prevalence/Neighbourhood type 1 and 2. Most postcode sectors have the same coding for Prevalence/Neighbourhood 1 and 2. Due to the method used to compile the dataset and the historic nature of the original report and map, the researchers should be critical of the accuracy of the data. The Glasgow 93 lead study final report and the six maps used to create the dataset are also available upon request. 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
Impact The data is available on an open access basis but we will continue to monitor its usage to identify scientific and public benefit impacts. It is being used in association with NHS health and NRS birth and death registration data by one of UBDC's Controlled Data Service Projects, which is exploring links between child mortality and lead content in water supplies. 
URL http://ubdc.gla.ac.uk/dataset/lead-prevalence-by-postcode-sectors-glasgow-93-94
 
Title Machine learning approach to automatically identify and count objects from CCTV image data 
Description This approach uses CNN techniques, building on the open COCO Tensor Flow automated object detection libraries to automate the identification of several types of objects from CCTV imagery acquired in collaboration with Glasgow City Council. Privacy assurances are maintained by ensuring that processing takes place only within the secure infrastructure operated and managed by the local authority, with only benign object count data leaving the secure physical and logical environment. 
Type Of Material Computer model/algorithm 
Year Produced 2019 
Provided To Others? No  
Impact The approach is yielding data which as well as set to inform UBDC research agenda is also expected to be released as an open dataset, informing research from broader academic and other communities. Furthermore, we are hopeful that having demonstrated the potential of this approach (which uses downtime or redundancy within the existing CCTV system) we will be well positioned to deploy similar software within networks in other city settings. Key non-functional requirements are to minimise operational disruption, ensure privacy is maintained and to offer scalability and easy deployment. Each of these aspects been broadly successful to date, with further optimisation planned. 
URL https://www.ubdc.ac.uk/news-media/2019/september/piloting-cctv-analysis-that-protects-individuals-pr...
 
Title Registers of Scotland Open Data Product 
Description UBDC's licensing agreement with Registers of Scotland permits us to produce produce statistical reports and publications using the data including, but not limited to, summaries of market activity (e.g. number of sales, average price) for a given period at Datazone level (subject to a minimum of five transactions per datazone level). This dataset is an excerpt that conforms to this specification, and can be made widely available without charge. It covers the period 2003 to January 2019. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
Impact We have shared this with dataservice users and hope to continue to do so, complementing a fuller RoS data set that we also make available. We will continue to monitor usage of the data and associated impact. 
URL http://ubdc.gla.ac.uk/dataset/registers-of-scotland-data
 
Title Tamoco Mobility Data 
Description Tamoco provides organisations with access to real-time mobile phone location data. Tamoco's geospatial data is derived directly from mobile devices using a combination of GPS and WiFi, in order to generate industry-leading location signals. The dataset consists of Tamoco's Standalone Location Data which provides: raw location events stemming directly from the device Operating System; 7-digit Latitude and Longitude data with accuracy scores, providing a complete picture of how a device moves over time. It is keyed on the Mobile Advertising ID and Device IP. UBDC has licensed data covering (spatially) Glasgow, North Lanarkshire, Inverclyde, Renfrewshire, East Renfrewshire, West Dunbartonshire, East Dunbartonshire and (temporally) the 3 year period from 2019 to 2021. Academic researchers or postgraduate students based in UK higher education institutions and employees of public sector/government organisations may access and use the data for purposes of non-commercial research including academic research and to support policy and operational work 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact To follow 
 
Title Transport Availability Metrics (TAM) 
Description This offers public Transport Availability Metrics (TAM) at both the stop/station and small area levels across Great Britain (England, Wales and Scotland). Specifically, it offers stop-level public transport availability data ("GB_STOP_PTAI_2016.csv", "GB_STOP_PTAI_2016.shp", LSOA-level public transport availability data "GB_LSOA_PTAI_2016.csv", "GB_LSOA_PTAI_2016.shp", and MSOA-level public transport availability data "GB_MSOA_PTAI_2016.csv" and GB_MSOA_PTAI_2016.shp. Other metrics generated include: average hourly frequency (AHF), density of stops (DOS), density of night-time stops (DONS), and Density of Routes (DOR). Stop-level TAM was measured by using public transport schedule data and stop/station location data. This was subsequently aggregated to small-area levels (LSOA and MSOA) in order to ensure PTAI is linkable to socioeconomic data at the same geography level. Specifically, stop-level PTAI was first aggregated to LSOA-level PTAI by overlaying service areas of stops/stations with LSOA boundaries. This was further aggregated to MSOA-level PTAI by weighting LSOA's PTAI with its population. Data sources for this including the LSOA boundaries, MSOA boundaries and LSOA-level population. 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? Yes  
Impact The TAM represents levels of public transport service provisions at both stop/station and small area levels. It can be used to estimate transport poverty at highly detailed spatial scale across an entire country. People in transport poor areas can easily be identified with TAM. This is vitally important as reducing gaps in the provision of public transport services is important for social equity, especially for low-income families who cannot afford to own and use cars. Hence, TAM can be deployed to ensure equitable access to basic amenities such as employment, healthcare, education, recreation, and shopping. The metrics can also be linked to other socioeconomic indicators to understand impacts of policies and new initiatives. 
 
Title UBDC Data Catalogue 
Description This is an in-development database intended to facilitate the management and curation of UBDC's licensed and primary datasets, ensuring a maintained relationship between data collection or acquisition projects and any derived data, analyses or indicators. Ultimately this will replace the existing UBDC data catalogue and provide a means to discover and sub-license available dataset, complementing existing UBDC data service systems as well as enhancing the curatorial efforts within the Centre. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? No  
Impact In progress 
 
Title UBDC Ecoquartier Curated Data 
Description This is a French dataset comprising 28 socio-economic variables drawn from census and 28 geographical variables drawn from a diverse range of sources and mainly providing information on infrastructures such as schools, shops among others. The data is from 2012 and is spatially related to the 50153 Iris polygons which are the statistical units of the French territory. The data relating the 28 geographical variables were improved by calculating an index of accessibility to infrastructures to the whole of the Iris units. Furthermore the Iris data was calculated and transferred to Ecoquartier and Quartier Prioritarire de la Ville which are other territorial units of the French territory. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? No  
Impact To follow 
 
Title UBDC Glasgow Features Dataset 
Description This dataset was produced to inform selection of CCTV cameras to provide an optimal picture of relevant urban activities within Glasgow. To facilitate this discussion, it would be valuable for the team, working in different organizations and each one confined at home, to rapidly have access to a shared map of Glasgow with those features of interest. To achieve this goal we made use of open data available in Open Street Map (OSM) and several open-source tools. The following tasks were performed: 1. Extracted the features of interest from open street map (OSM)(https://www.openstreetmap.org) with OSM and GDAL tools (https://gdal.org/); 2. In the free and open source Geographic Information System, QGIS (https://www.qgis.org), we manipulated the extracted features for the area of interest of Glasgow City Council. 3. In the open-source Plotly/Dash (https://plotly.com/dash/) we created a map with these features 4. Finally we deployed the map we have just created into Heroku webserver (https://avenues-map.herokuapp.com/). Although Heroku is not open-source nor free, it allows one to easily deploy a simple app on the web for free with restrictions. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
Impact Informed selection of CCTV cameras to produce open count data with numerous downstream impact benefits (see relevant entries within this return). 
URL https://avenues-map.herokuapp.com/
 
Title UBDC Pavement Width Dataset 
Description To measure pavement width at scale, we turned our attention to our local city, Glasgow. UBDC is working with Glasgow City Council on issues relating to mobility and neighbourhoods so it seemed an obvious setting to develop an initial proof of concept. Our first step was to identify the paved ways, sidewalks and paths themselves. We used the Ordnance Survey MasterMap Topography Layer, accessed via Edina's Digimap service as our starting point. We filtered four 10km tiles covering most of Glasgow to produce a dataset comprising man-made roadside features, although different filters could be used to exclude or include other features. Having isolated these polygons we needed to be able to identify the central line of each polygon, establish a means to calculate the distance between two points and establish a value for pavement width - essentially the sum of the lengths of the shortest lines between the centre line and the left/right boundaries of the parent polygon. We use a built-in transformer within FME called CenterLineReplacer to calculate the centre line. FME is a commercial tool that supports manipulation of (especially spatial) data. The software is quite accessible, available for non-commercial work under a free personal license. Graphic showing centre lines and width vectors as explained in text below Figure 2 - Centre lines and width vectors The transformer does a pretty good job of identifying approximate centre lines, our basis for calculating width. Subsequently, each centre line is densified to individual points along that line, attaining sub-metre resolution. For each one, we measure the shortest distance between that point and the approximate diametrically opposed points on the polygon - i.e, from the centre to the edges of the pavement. To ensure the width is represented correctly, we enforce a rule that the angle formed between the lines connecting the centre point with each edge can be no less than 140 degrees. Finally, for each join between adjacent centre points we reconstruct a line segment and apply to it a width value - the average distance between the two connected points. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
Impact Glasgow City Council has already acquired and used the dataset to inform its policy and operational decision making around safe social distancing infrastructure improvement. 
URL https://www.ubdc.ac.uk/news-media/2020/june/personal-space-exploration-pavement-widths-and-walking-s...
 
Title UBDC Spatial Urban Data System (SUDS) 
Description UBDC has made significant progress on the Spatial Urban Data System (SUDS) - the Centre's capstone Urban Indicators project - which provides small-area estimates of key UK-wide urban indicators using complex urban models and simulations. We began with the 14 largest built-up areas in the UK. The resultant indicators not only provide contextual information to researchers studying complex urban problems but are also a tool for supporting local government and private sector decision-making. Examples of key indicators include datazone-level indicators of job accessibility and greenspace. We are now also connecting the SUDS programme to a novel set of open-source technologies for GIS mapping, mobile development, visualisation and reporting so that citizens, small businesses, non-profit organisations and local governments can have an opportunity explore trends and patterns in their city/region. Indicators currently complete and available to end users of UBDC are: * Percentage of persons in full-employment (%) - Output Areas for 13 built-up areas: Bristol, Birmingham, Cardiff, Leeds, Liverpool, London, Manchester, Nottingham, Sheffield, Southampton-Portsmouth, Glasgow, Edinburgh, Belfast. * Unemployed: Aged 16-24 years (%) - Output Areas for 14 built-up areas: Bristol, Birmingham, Cardiff, Leeds, Liverpool, London, Manchester, Nottingham, Sheffield, Southampton-Portsmouth, Glasgow, Edinburgh, Belfast. * Unemployment rate - all economically active and inactive (%) - Output Areas for 14 built-up areas: Bristol, Birmingham, Cardiff, Leeds, Liverpool, London, Manchester, Nottingham, Sheffield, Southampton-Portsmouth, Glasgow, Edinburgh, Belfast. * Unemployment rate-all economically active only (%) - Output Areas for 14 built-up areas: Bristol, Birmingham, Cardiff, Leeds, Liverpool, London, Manchester, Nottingham, Sheffield, Southampton-Portsmouth, Glasgow, Edinburgh, Belfast * Public Greenspace - Output Areas for 14 built-up areas: Bristol, Birmingham, Cardiff, Leeds, Liverpool, London, Manchester, Nottingham, Sheffield, Southampton-Portsmouth, Glasgow, Edinburgh, Belfast. * Job Accessibility Indicators (experimental) - Output Areas for 14 built-up areas: Bristol, Birmingham, Cardiff, Leeds, Liverpool, London, Manchester, Nottingham, Sheffield, Southampton-Portsmouth, Glasgow, Edinburgh, Belfast. Ongoing work to develop accessibility measures for labour market and healthcare are also yielding new data. As an outcome of our work to define transit accessibility indices we have developed, based on Traveline data, UK-wide public transportation schedules in the popular interchange GTFS format. These data offer timetables for bus, light rail, tram and ferry stops in Great Britain. Users who are interested in transit availability in the UK are already making use of them. 
Type Of Material Database/Collection of data 
Year Produced 2015 
Provided To Others? Yes  
Impact This initial tranche of Urban Indicators, as at March 2017, prompted over 30 requests to use the data, including requesting the indicators and the underlying data. Since then the number has risen to ca 90. SUDS is also feeding into the RDA's Quality of Urban Life standardisation work as well as work with BSI to develop and enhance standards around big data and smart cities. It is also highly thematically congruent with our efforts to engage within the UK with local authorities in all of the four nations of the UK, and internationally with organisations including Statistics Netherlands and the World Council on City Data. The platform has been subject to intensive iterative development and is currently available via the UBDC website in a prototype format. Based on a robust spatial database the platform uses a combination of technologies to deliver online spatial analytics. These comprise web analytical tools based on spatial queries enabling users to interact with several underlying datasets, in order to derive additional insights from the data. These tools were designed to be simple and easy to use (for mostly drilling-down or aggregating information) from one or two aspects (indicators/ datasets) of the urban area. More complex queries (Multi Criteria Analysis) that will enable the integration of information from different indicators or sectors of the urban areas will be developed to enable wider understanding of causes, effects of particular outcomes or changes. Transport accessibility and connectivity indicators and employment accessibility indicators have each been implemented within the platform. Integration of UBDC research outputs from transport, housing, education, health, weather, accidents, and crime studies is in the process of being implemented, including estimated O-D flows from highway sensor data (network analysis/Transcad), outputs from social networking research (Twitter geolocalisation, Facebook etc) and housing sales and rental data from open Land Registry, Registers of Scotland and Zoopla data sets. 
URL http://ubdc.ac.uk/data-services/data-catalogue/geospatial-data/
 
Title Zoopla Aggregate Listings Tables 
Description Aggregate data tables summarising rental market according to data acquired from properly listings aggregator Zoopla (to 2016): • Quarterly count of number of rental adverts by UK Local Authority (XLSX) • Quarterly mean and median rent per month by UK Local Authority (XLSX) • Quarterly count of number of rental adverts by Broad Rental Market Area (BRMA) (XLSX) • Quarterly mean and median rent per month by Broad Rental Market Area (BRMA) (XLSX) • Quarterly count of number of rental adverts by Middle Layer Super Output Area (MSOA) (XLSX) • Quarterly mean and median rent per month by Middle Layer Super Output Area (MSOA) (XLSX) 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? Yes  
Impact Equivalent data were the basis of ONS' study of the use of big data in official statistics on private renting (2018). We hope to drive interest in our fuller Zoopla historical and current data (see ResearchFish Collaboration section for details of data sharing agreement) using these widely accessible data. 
URL http://ubdc.ac.uk/data-services/data-catalogue/housing-data/
 
Title iMCD GPS Data 
Description 333 iMCD Household Survey participants agreed to wear a GPS device to record their movements for a seven day period. Participants completed an Activity Diary on the first day, providing groundtruthing for the data. GPS coordinates were captured every five seconds for each participant. The data can be linked to the other iMCD survey and lifelogging data by participant ID. 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
Impact The UBDC first released this data in its second Call for Expressions of Interest (July 2016). With ca 30 requests to date, the data has been approved for use in two projects. One will use aggregated data with the other accessing raw, de-identified (spatially cloaked) data via UBDC's Controlled Data Service safehaven. The data is available under application (UBDC has reached agreement with ESRC that new data requests will be evaluated internally by the Centre's Research Approvals Working Group) and a number of additional applications are in the process of being considered. 
URL http://ubdc.ac.uk/data-services/data-catalogue/imcd-data/
 
Title iMCD Household Survey Data 
Description The UBDC's iMCD Project gathered a unique and exciting collection of data looking at urban life in Glasgow. UBDC gives researchers access to the data from the iMCD Household Survey, in anonymised form. The Survey has a unique combination of questions covering detailed information about each household, and their attitudes and behaviours to transport, education, computer and mobile phone usage, and sustainability. These data would be of interest to planners, researchers or individuals wanting to gain a better understanding of these topics and their interactions. The iMCD Household Survey interviewed a representative sample of adults (2095 people from 1508 household) in the Glasgow and Clyde Valley Planning area between April and November 2015. This area includes the following local authorities: Glasgow; North Lanarkshire; South Lanarkshire; Inverclyde; Renfrewshire; East Renfrewshire; East Dunbartonshire and West Dunbartonshire. As well as basic demographic data, the survey has a significant number of questions on education, transport, sustainability, and ICT usage. It also contains questions on civic and cultural activities, and neighbourhood belonging and satisfaction. Some variables have been removed or have had responses grouped to ensure anonymity of respondents, and there is no geographic or locational information. A subset of participants (1506) also completed a Travel Diary, describing their movements and purpose on the day prior to the Survey's collection. For widespread sharing, this data is aggregated to local authority level, consistent with the Scottish Household Survey methodolology. The iMCD project also gathered and created a number of other datasets that may be linked to the survey data. 
Type Of Material Database/Collection of data 
Year Produced 2016 
Provided To Others? Yes  
Impact The UBDC released this initial dataset as part of our first Call for Expressions of Interest in February 2016. To date over 100 requests have been made for the data, and many requestors are also interested in combining the data with other iMCD collections. 
URL http://ubdc.ac.uk/data-services/data-catalogue/imcd-data/
 
Title iMCD Lifelogging Data 
Description 230 iMCD Household Survey participants wore an Autographer lifelogging device, in addition to a GPS device, for two days. This captured image data (at typically five second intervals) and other sensor data. The captured variables include participant ID, image ID, image metadata including date/time, resolution, exposure time, colour space, white balance, etc and acceleration, magnetometer, light sensor, temperature and orientation sensor data. The data poses some interesting challenges for sharing due to its unique sensitivities (personally identifiable images, etc.). We are currently finalising methods for automating the blurring of faces and car registrations prior to releasing it for external use. We anticipate that usage will ultimately be limited to UBDC's Controlled Data Service safehaven. 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? No  
Impact We have had enquiries about use of this data. We are also using the data as a research material in itself as we are at the cutting edge of making this type of data available for research use, with all the privacy implications that brings - so we anticipate a high level of scientific impact. Current processing is focusing on face and person recognition in order to blur sensitive content as well as the production of statistical summaries (which can be more widely shared) based on automated identification of, among other things, co-location with others, ICT usage and transportation usage. Some papers have been published with more anticipated. 
URL http://ubdc.ac.uk/data-services/data-catalogue/imcd-data/
 
Title iMCD Social Isolation Groups Data 
Description We developed methods to analyse lifelogging image data collected within the iMCD project with an objective to study people's isolation level in the city. To this end, we used the image set as an attempt to group people with similar social state and behaviour based on the number of faces and number of people they are surrounded by in their everyday life. 
Type Of Material Data analysis technique 
Year Produced 2018 
Provided To Others? Yes  
Impact Linking the social activity level with the existing participants' data (demographics, elements from the household survey) gave researchers the opportunity to associate social activity with several factors. 
 
Title iMCD Twitter Data 
Description Concurrent to the collection of the iMCD Household Survey data, UBDC researchers undertook a significant information extraction exercise to capture data streams related to Glasgow from a variety of online sources. Twitter data comprises a large part of this collection, with some 65 million tweets gathered during the period 1/12/14 - 30/11/2015 that arose from the greater Glasgow area. This, for example, may give insights into the citizens' behaviour, reactions and moods in certain contexts or at particular times. The dataset can be queried through a bespoke online tool by specific hashtag or tweet term, in order to return statistical information or specific Tweet IDs. Captured tweets were those geolocated in Glasgow (based on a polygon around the geography), those from certain known Glasgow accounts (e.g. @BBCWestScot; @policescotland) and containing certain terms or hashtags (e.g. glasgow, or #glasgow2014). Due to the terms of Twitter's licensing we may not redistribute or allow the downloading of full tweets. Instead the service will provide Tweet IDs in lieu of the tweets themselves. These can then be used in queries to Twitter's own API to retrieve the full content. Results would typically be provided in JSON format with meta-data including userID, time and location if recorded. 
Type Of Material Database/Collection of data 
Year Produced 2016 
Provided To Others? Yes  
Impact We have had ca 50 requests for usage of this data since its promotion as part of the second UBDC Call for Expressions of Interest (July 2016). Several of those interested have indicated an interest in combining these data with other iMCD data collections. 
URL http://ubdc.ac.uk/data-services/data-catalogue/imcd-data/
 
Description Aberdeen City Council Count of Properties on Landlord Registry 
Organisation Aberdeen City Council
Country United Kingdom 
Sector Public 
PI Contribution UBDC has acquired this data under FOI. We have in turn aggregated to datazone level and estimated numbers of registered properties to inform ongoing work exploring the nature of the private rental sector. The data acquired do not permit the identification of duplicate entries but analysis of similar data for another local authority (Renfrewshire) showed that, for every 1000 registered properties, there were 1230 register entries. In this dataset, we have aggregated these postcodes to Datazones, providing a count of register entries for each. We have also made a simple estimate of the number of registered properties by applying the adjustment factor from the Renfrewshire experience (1000/1230 or .81).
Collaborator Contribution Aberdeen City Council published a list of postcodes for entries on their Landlord Register on 15 August 2017, following a Freedom of Information request by a UBDC researcher. Private landlords in Scotland are required to register with their local authority under Part 8 of the Antisocial Behaviour etc. (Scotland) Act 2004. Registration lasts for three years so the fact that a property is registered does not necessarily mean that it is currently being rented out. In a number of cases, an individual property may have more than one register entry since there is a requirement for each owner to register separately.
Impact As open data in our portal, we are monitoring its usage on an ongoing basis. The data informs our ongoing internal UBDC Private Rental Sector research strand.
Start Year 2017
 
Description Adzuna Data License 
Organisation Adzuna
Country United Kingdom 
Sector Private 
PI Contribution UBDC has agreed terms with Adzuna for the supply of online jobs listings data covering the period 2017-2022, enabling its usage for academic research and government non-commercial usage.
Collaborator Contribution Adzuna aggregates online jobs listings from a variety of sources, providing a unique and powerful dataset capable of summarising the job market as a whole, making explicit current skills demands and providing location information that reveals a geographical spread of the volumes of jobs and job types. Data coverage is whole of UK.
Impact Data availability to commence in March 2021. We anticipate widespread interest in the data, although this will be capped in the first licensing period to up to 12 academic research projects of 2 years' duration. These are managed in form of research project credits, which may be combined to facilitate longer projects. Furthermore, the data will inform UBDC's own research agenda around transport and mobility as well as economic activity. UBDC staff, students and associates based at the University of Glasgow enjoy access to the data without requiring credits to be exhausted.
Start Year 2020
 
Description Analysis of ScotRail passenger data 
Organisation ScotRail Railways Limited
Country United Kingdom 
Sector Private 
PI Contribution We have provided time and data analysis expertise.
Collaborator Contribution ScotRail have contributed data, time of a data scientist and time of senior executives.
Impact We held a workshop where we presented findings of out analysis. We also provided informal training for their data scientist.
Start Year 2018
 
Description British Standards Institution (BSI Group) 
Organisation British Standards Institute (BSI Group)
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution UBDC is supporting BSI in understanding, developing and capacity building around international data standards for urban big data. The SASNet project provided the resources for UBDC to host an event in collaboration with the BSI to highlight how data standards can support the widespread adoption of common approaches to the implementation of products and services in future cities. This successful event helped to cement UBDC's relationship with the BSI - Andrew McHugh, UBDC's Data Services Manager is now a member of two BSI Committees: BSI Committee SDS/2, Smart and sustainable cities and communities and Committee MBD/1, Big data, specifically working on MBD/001/0-/03 Project Communications. As of May 2018 Centre is working with BSI to develop a partnership aimed at producing, piloting and validating an international data management standard, in collaboration with the Sino-Singapore Tianjin Eco-city and UK partners including the City Standards Institute and the City of York.
Collaborator Contribution BSI will work with UBDC to extend the impact of our data standards work within the UK and internationally. Collaboration with BSI ensures that UBDC remain in the forefront of discussions and advancements relating to data standardisation, particularly in relation to Smart cities and Big Data. Through shared knowledge via events and committee meetings, UBDC can gain valuable insights into: • the transparency of data activities • engagement with data users, including templates for communication (and 'reasonable expectation') • communications frameworks around data breach and remedies (linking to GDPR requirements) • success stories (benefits) of using data • guidance on providing contextual use of data ("your data will be used for XX"). All of these issues and considerations are vital to be continually up to date when providing a sustainable data service.
Impact Presentations from the data standards event are downloadable from the news story on the UBDC website (and also the Urban Transformations website). The BSI committees are formed of multidisciplinary members and therefore will cover broadly-ranging data standards issues. Membership of BSI Committee SDS/2, Smart and sustainable cities and communities and MBD/1, Big data, specifically working on MBD/001/0-/03 Project Communications, a group working on a standard covering: • transparency of data activities • engagement with data users, including templates for communication (and 'reasonable expectation') • communications frameworks around data breach and remedies (linking to GDPR requirements) • success stories (benefits) of using data • guidance on providing contextual use of data UBDC and BSI delivered a successful event in 2017 exploring the role of standards in implementing future cities, attended by city representatives (national and international), architects and spatial planners and representatives from national statistics institutions including Statistics Netherlands (recorded under Engagement).
Start Year 2017
 
Description Burning Glass Data Agreement 
Organisation Burning Glass Technologies
Country United States 
Sector Private 
PI Contribution UBDC has a data agreement with Burning Glass to access its online job listings (Nova Feeds) information in support of up to 3 research projects
Collaborator Contribution The data comprises of individual (deduped) online job listings information for period 2012 to 2017 encoded in XML format and includes details of location, description, core skills, salary etc as well as full text of the original job posting
Impact The data is in use in two separate research projects, respectively examining the impact on skills and labour markets of automation and secondly evaluating the geographic distribution and dynamics of high-tech jobs that involves AI, ML and smart technologies
Start Year 2018
 
Description CREATe Collaboration Agreement 
Organisation CREATe (RCUK Centre for Copyright and New Business Models in the Creative Economy)
Country United Kingdom 
Sector Academic/University 
PI Contribution UBDC has agreed to commission from CREATe a publication aimed at Social Scientists to offer reassurances regarding the legal legitimacy of their online data collection activities. This follows several interactions between UBDC and CREATe staff regarding the Copyright Exception for Text and Data Mining which essentially permits academic researchers to harvest and collect publicly accessible online data for academic research purposes irrespective of contractual terms which appear to purport to prohibit such behaviour.
Collaborator Contribution CREATe colleagues have appointed a post-doctoral researcher to undertake the work and produce an accessible output articulating the legal situation with regards to web scraping, harvesting of online data and the acceptable parameters within which this can be undertaken for academic research purposes.
Impact This has the potential to be a highly impactful piece of work as it could be a means to overcome paralysis often associated with little formal understanding of legal risk associated with data.
Start Year 2019
 
Description Collaboration with Department of Geography, Western University, London, Ontario, Canada 
Organisation Western University
Country Canada 
Sector Academic/University 
PI Contribution UBDC's research associate, Dr Katarzyna Sila-Nowicka has started collaboration with Jed Long to work on human movement related papers.
Collaborator Contribution Unknown
Impact None yet.
Start Year 2018
 
Description Cycling Scotland Data Agreement 
Organisation Cycling Scotland
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution UBDC has an agreement with Cycling Scotland to provide open access to their National Monitoring Framework dataset (2017 - 18)
Collaborator Contribution "Cycling Scotland is the nation's cycling organisation. Cycling Scotland helps create and deliver opportunities and an environment so anyone anywhere in Scotland can cycle easily and safely. This dataset comprises data about cycling counts in various streets within Scotland and includes manual traffic surveys with counts of various modes of transport."
Impact The data has been requested by a range of academic and policy audiences. To date 14 requests for these data have been received
Start Year 2019
 
Description Data Processing Agreement - CCTV Video Data 
Organisation Glasgow City Council
Country United Kingdom 
Sector Public 
PI Contribution The Council is working in collaboration with the Processor to develop and test a framework for installing video analytical software to monitor activity on streets using spare CCTV capacity. The project builds on existing collaborations between the Council and the Processor which processes static images captured within the CCTV suite to generate counts of pedestrians and vehicles on streets. The project will explore the delivery of analytics in three distinct areas: • Enhanced detection of pedestrians, counting moving and non-moving objects, identifying direction • Enhanced detection of vehicles, counting moving and non-moving objects, identifying direction • Development of street activity metrics, including tracing objects (pedestrians and vehicles) through space. Initial processing will concentrate on the detection and counting of the number of people present at regular intervals during the day using streets which are part of, or near to, streets which are included in the Council's Avenues Project. However, there is an option for the work to progress to detect other objects or image features, including for example potholes or broken traffic lights, cyclists or wheelchair users. The Processor aims to implement its object detection software in order to capture data through the CCTV system. In doing this, its goal is to use the data produced to conduct and publish research on the use of public space in Glasgow and how this is affected by investments such as the Avenues Project. It also aims to refine or develop its object detection software so that it might be more effective in capturing a wider range of objects, and also so it might be more widely deployed. The project will develop methods and software for implementation within the CCTV suite, to operate on stand-alone machine(s). Aggregate counts and analytical outputs will be completely anonymised, removing any raw video or image data once processing has been completed. The exception to this will be a validation of the implemented system, which will use manual counts and verification of analysis to quantify variation in accuracy across camera, time of day, day of the week and lighting conditions. The project will also assess the impact of the system on the Community Safety operation to identify and resolve any issues that are detected.
Collaborator Contribution The Council will provide secure access to up to 24 hours of video footage captured via its CCTV network infrastructure from two bespoke cameras. The Council aims to use the investment in the CCTV system to produce aggregated non-identifiable data data which can be of value to the operations and policies of the Council. It also aims to provide aggregated non-identifiable data to the Processor, in order that the Processor can conduct research, which will inform the Council's Avenues Project.
Impact To follow
Start Year 2021
 
Description ESRC AQMeN and UBDC 
Organisation University of Edinburgh
Department Applied Quantitative Methods Network (AQMeN) II
Country United Kingdom 
Sector Academic/University 
PI Contribution UBDC Co-I Prof. Gwilym Pryce and colleagues are working with a variety of outputs and methods developed by the AQMeN project developing ways to visualise novel measures of the housing market in engaging and interesting interfaces and outputs. Among other variables they are applying data visualisation methods to are some of the innovative measures developed by the AQMeN Research Centre, such as the Cross Price Elasticity (CPEP) measure of neighbourhood substitutability developed by the USI AQMeN strand. In collaboration with the core UBDC Data Service, they are currently developing new Java-based visualisation interfaces that allow users to interact with the data and discover how the CPEP measure can reveal hidden social frontiers between urban neighbourhoods.
Collaborator Contribution AQMeN are providing the theory, method and data outputs needed for the visualisation tools. UBDC are developing the visualisation interfaces using Java programming language and relevant software.
Impact None yet.
Start Year 2014
 
Description Edinburgh Landlord Registration Data 
Organisation City of Edinburgh Council
Country United Kingdom 
Sector Public 
PI Contribution UBDC has acquired landlord registration data from Edinburgh City Council under Freedom of Information legislation.
Collaborator Contribution Private landlords in Scotland are required to register with their local authority under Part 8 of the Antisocial Behaviour etc. (Scotland) Act 2004. Registration lasts for three years so the fact that a property is registered does not necessarily mean that it is currently being rented out. In a number of cases, an individual property may have more than one register entry since there is a requirement for each owner to register separately. This dataset was created on 10th November 2017 and shared on the 13th November 2017. The data was provided under Freedom of Information (Scotland) Act 2002 for each of the properties at postcode level. Number of properties is recorded at each postcode.
Impact This data acquisition is a continuation of a coordinated approach to make this data increasingly available across many more local authorities.
Start Year 2018
 
Description Eurostat Collaboration 
Organisation European Commission
Department Eurostat
Country European Union (EU) 
Sector Public 
PI Contribution UBDC provided training to introduce Eurostat staff (primarily statisticians and managers) to the developments currently happening in the smart systems and smart cities world, with a focus on smart transportation systems and mobility. It covered an overview of the main sources of urban big data, including sensors and the Internet of Things, crowd-sourced mobility data, data aggregated from websites and other Internet sources, wearable technologies. It continued to describe how these data sources can be integrated, from the technical infrastructure to methodologies for producing statistical information, as well as other topics of relevance in the domain of urban big data.
Collaborator Contribution Eurostat is continuing to engage with UBDC and following this training and a subsequent keynote address to the Plenary of National Directors of Methodology and Informatics has invited UBDC to sit on the Scientific Committee for New Techniques and Technologies for Statistics (NTTS).
Impact Developed relationship with Eurostat and several national statistics organisations, establishing opportunities to influence development of smart statistics agenda.
Start Year 2018
 
Description FixMyStreet Data Sharing Open Licence 
Organisation FixMyStreet
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution UBDC has acquired data from the FixMyStreet web app, that can be shared under an open licence. We have added 2011 datazones and codes to facilitate usage of the data and made this data available to researchers in our Open Data Portal.
Collaborator Contribution The data shared by FixMyStreet refers to reports made, by anyone in public, to FixMyStreet.com website or smartphone apps, regarding either potholes or pavements/footpaths in the Glasgow City area. Each report includes geographically reported location defined by lat/long coordinates to 2017.
Impact As open data in our portal, we are monitoring its usage on an ongoing basis. To date the data has been used in the production of a policy briefing report produced by UBDC in collaboration with Glasgow City Council entitled "Supporting Independent Living Through the Prediction and Prevention of Falls".
Start Year 2017
 
Description Future mobility 
Organisation Institute of Transport Economics (Norway)
Country Norway 
Sector Private 
PI Contribution I have given a talk at an event arranged by the institute. I have also participated in a funding application.
Collaborator Contribution They have included UBDC in a funding application.
Impact I gave a talk at a workshop in Oslo organised by the institute.
Start Year 2017
 
Description GPS Movement Analysis (University of St Andrews and UBDC) 
Organisation University of St Andrews
Department Department of Geography & Sustainable Development
Country United Kingdom 
Sector Academic/University 
PI Contribution UBDC researcher Dr Katarzyna Sila-Nowicka is supporting the University of St Andrew research team around GPS movement analysis, specifically new measures for quantifying activity spaces, based on expertise and data gained through UBDC's iMCD project.
Collaborator Contribution University of St Andrews researchers Dr Urska Demsar and Jed Long are working with UBDC on this, contributing their own expertise to our data service.
Impact This work will support both new publications and data service provision to UBDC's users.
Start Year 2016
 
Description Glasgow City Council - Data Visualisation 
Organisation Glasgow City Council
Country United Kingdom 
Sector Public 
PI Contribution UBDC has been working with the council to capture, analyse and visualise mobility data about Glasgow. Our current work consists of visualising some of this data in a dashboard to demonstrate its value and potentials to inform decision-making at local level.
Collaborator Contribution Glasgow colleagues are providing input on needs, specifically in terms of the indicators we are looking at, as well as on how they fit within the relevant strategies and policy targets. This input helps us better understand the needs in this area within the council as well as identify where to put our efforts to have a working proof of concept.
Impact - prototype dashboards / interfaces - summary of data needs aligned with indicators and appropriate visualisations - road map and resourcing requirements for future deployment of information presentation services
Start Year 2020
 
Description Glasgow City Council - Mobility Data Agenda 
Organisation Glasgow City Council
Country United Kingdom 
Sector Public 
PI Contribution On mobility we have partnered with Glasgow City Council to evaluate data and analytical needs associated primarily with transport policy development, city centre management and neighborhood regeneration. New mobility datasets being collected and produced by UBDC will be made accessible to local authority partners and related consultants and UBDC will produce analyses and accessible data interfaces to reflect demand.
Collaborator Contribution Glasgow City Council have invested financially in this work (see above) and are contributing time and resources to facilitate the specification of third party available datasets and support our efforts to collect primary mobility data via council platforms, sensors and extracted from existing data sources.
Impact - Dataset specifications - Understanding / articulation of needs and priorities - Acquired mobility datasets (Huq.io and Tamoco) - Proof-of-concept dashboard demonstrators
Start Year 2019
 
Description Glasgow City Council - Pavement Width 
Organisation Glasgow City Council
Country United Kingdom 
Sector Public 
PI Contribution In order to measure pavement width at scale we turned our attention to our local city, Glasgow. UBDC is working with Glasgow City Council on issues relating to mobility and neighbourhoods so it seemed an obvious setting to develop an initial proof of concept. Our first step was to identify the paved ways, sidewalks and paths themselves. We used the Ordnance Survey MasterMap Topography Layer, accessed via Edina's Digimap service as our starting point. We filtered four 10km tiles covering most of Glasgow to produce a dataset comprising man made roadside features, although different filters could be used to exclude or include other features.
Collaborator Contribution Glasgow City Council's Neighborhoods and Sustainability and GIS teams have obtained access to UBDC's Pavement Width dataset and configured it for use in several applications.
Impact Details forthcoming
Start Year 2020
 
Description Huq.io Data License 
Organisation Huq Industries Limited
Country United Kingdom 
Sector Private 
PI Contribution UBDC has agreed a contract with Huq.io for the supply of mobility data covering the period 2019 - 2021, enabling its usage for academic research and government non-commercial usage.
Collaborator Contribution Through its relationships with a wide selection of mobile app publishers Huq captures location information of app users and relates these to a network of points of interest. Our data coverage includes Glasgow and the seven neighbouring local authorities.
Impact Data availability to commence in February 2021. We anticipate widespread interest in the data, including from local government within the Glasgow City Region and wider Scottish policy communities, as well as elsewhere within the UK. In addition, we have been collaborating in conversations with the Open Data Institute and Cabinet Office / Geospatial Commission re: agenda for acquiring new mobility information. Furthermore, the data will inform UBDC's own research agenda around transport and mobility as well as economic activity.
Start Year 2020
 
Description Learning Cities Network and Finnish ERDF Project: 
Organisation European Commission
Department European Regional Development Fund (ERDF)
Country Belgium 
Sector Public 
PI Contribution UBDC is part of this newly funded Finnish project.
Collaborator Contribution It is unclear at this stage whether funding for this project will come to UBDC - add to Further Funding section if this happens.
Impact None yet.
Start Year 2016
 
Description Learning Cities Network and Finnish ERDF Project: 
Organisation Learning Cities Networks (LCN)
Country Global 
Sector Charity/Non Profit 
PI Contribution UBDC is part of this newly funded Finnish project.
Collaborator Contribution It is unclear at this stage whether funding for this project will come to UBDC - add to Further Funding section if this happens.
Impact None yet.
Start Year 2016
 
Description Life in Data Research Network 
Organisation General Teaching Council for Scotland
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution UBDC's Education Project team are working with Stirling University on this project, which was funded, but with no funds for University of Glasgow. We are bringing knowledge exchange and capacity building support to this network which aims to empower people with data.
Collaborator Contribution University of Stirling is leading this Network and the other partners are all contributing in various ways to building knowledge exchange networks around data and city life. UBDC has specifically sponsored a Life in Data / Creative Stirling event, including providing data for it as a hackday (recorded under Engagement).
Impact This project crosses disciplines of education and teaching, digital media communications, data science, and urban studies. UBDC supported a Life in Data / Creative Stirling event, including providing data for it as a hackday (recorded under Engagement).
Start Year 2017
 
Description Life in Data Research Network 
Organisation Scottish Cities Alliance
Country United Kingdom 
Sector Public 
PI Contribution UBDC's Education Project team are working with Stirling University on this project, which was funded, but with no funds for University of Glasgow. We are bringing knowledge exchange and capacity building support to this network which aims to empower people with data.
Collaborator Contribution University of Stirling is leading this Network and the other partners are all contributing in various ways to building knowledge exchange networks around data and city life. UBDC has specifically sponsored a Life in Data / Creative Stirling event, including providing data for it as a hackday (recorded under Engagement).
Impact This project crosses disciplines of education and teaching, digital media communications, data science, and urban studies. UBDC supported a Life in Data / Creative Stirling event, including providing data for it as a hackday (recorded under Engagement).
Start Year 2017
 
Description Life in Data Research Network 
Organisation The Data Lab - Innovation Centre
Country United Kingdom 
Sector Private 
PI Contribution UBDC's Education Project team are working with Stirling University on this project, which was funded, but with no funds for University of Glasgow. We are bringing knowledge exchange and capacity building support to this network which aims to empower people with data.
Collaborator Contribution University of Stirling is leading this Network and the other partners are all contributing in various ways to building knowledge exchange networks around data and city life. UBDC has specifically sponsored a Life in Data / Creative Stirling event, including providing data for it as a hackday (recorded under Engagement).
Impact This project crosses disciplines of education and teaching, digital media communications, data science, and urban studies. UBDC supported a Life in Data / Creative Stirling event, including providing data for it as a hackday (recorded under Engagement).
Start Year 2017
 
Description Life in Data Research Network 
Organisation University of Stirling
Department Faculty of Social Science
Country United Kingdom 
Sector Academic/University 
PI Contribution UBDC's Education Project team are working with Stirling University on this project, which was funded, but with no funds for University of Glasgow. We are bringing knowledge exchange and capacity building support to this network which aims to empower people with data.
Collaborator Contribution University of Stirling is leading this Network and the other partners are all contributing in various ways to building knowledge exchange networks around data and city life. UBDC has specifically sponsored a Life in Data / Creative Stirling event, including providing data for it as a hackday (recorded under Engagement).
Impact This project crosses disciplines of education and teaching, digital media communications, data science, and urban studies. UBDC supported a Life in Data / Creative Stirling event, including providing data for it as a hackday (recorded under Engagement).
Start Year 2017
 
Description Life in Data Research Network 
Organisation Wikimedia UK
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution UBDC's Education Project team are working with Stirling University on this project, which was funded, but with no funds for University of Glasgow. We are bringing knowledge exchange and capacity building support to this network which aims to empower people with data.
Collaborator Contribution University of Stirling is leading this Network and the other partners are all contributing in various ways to building knowledge exchange networks around data and city life. UBDC has specifically sponsored a Life in Data / Creative Stirling event, including providing data for it as a hackday (recorded under Engagement).
Impact This project crosses disciplines of education and teaching, digital media communications, data science, and urban studies. UBDC supported a Life in Data / Creative Stirling event, including providing data for it as a hackday (recorded under Engagement).
Start Year 2017
 
Description Met Office Observations and Forecasts 
Organisation Meteorological Office UK
Country United Kingdom 
Sector Academic/University 
PI Contribution We are collecting hourly observations for the last 24 hours for approximately 140 locations across the UK via the Met Office DataPoint API on a daily basis. Our collection starts from 30 November 2011 till 6 February 2017 (an initial bulk capture of historical data was acquired) and then from 23 January 2018 to date (there is a gap in our collection from 7 February 2017 to 22 January 2018). In addition, we have captured in forecast data in 3-hourly intervals out to five days. This is quality controlled forecast for more than 5,000 sites in the UK, including airports, major landmarks and beaches.
Collaborator Contribution Hourly observation reports as recorded in real time by the Met Office UK Monitoring System. Available parameters are based on the instrumentation installed at each site . Observations are subject to final quality control by the Met Office after publication by Data Point. The QC process can take up to six months to be completed and therefore any changes made will not be retrospectively applied to this dataset.
Impact The data has been requested by a range of academic and policy audiences. To date 13 requests for these data have been received. http://ubdc.gla.ac.uk/dataset/met-office-observations-data http://ubdc.gla.ac.uk/dataset/met-office-forecasts-data
Start Year 2011
 
Description Mobility Data Working Group 
Organisation Cabinet Office
Country United Kingdom 
Sector Public 
PI Contribution Contribution to ongoing conversation and scoping work re: availability, utility and accessibility of new forms of mobility data.
Collaborator Contribution Partners have recounted their experiences, data needs and shared details of available data, data assessments/appraisals and methodologies.
Impact The group has contributed to the evidence base that supports UBDC's acquisition of two mobility data sets (from Huq and Tamoco) as well as providing compelling expertise and experience around data valuation and market factors for data acquisition.
Start Year 2020
 
Description Mobility Data Working Group 
Organisation Glasgow City Council
Country United Kingdom 
Sector Public 
PI Contribution Contribution to ongoing conversation and scoping work re: availability, utility and accessibility of new forms of mobility data.
Collaborator Contribution Partners have recounted their experiences, data needs and shared details of available data, data assessments/appraisals and methodologies.
Impact The group has contributed to the evidence base that supports UBDC's acquisition of two mobility data sets (from Huq and Tamoco) as well as providing compelling expertise and experience around data valuation and market factors for data acquisition.
Start Year 2020
 
Description Mobility Data Working Group 
Organisation Government of Scotland
Department Scottish Government Welfare Discussion Group
Country United Kingdom 
Sector Public 
PI Contribution Contribution to ongoing conversation and scoping work re: availability, utility and accessibility of new forms of mobility data.
Collaborator Contribution Partners have recounted their experiences, data needs and shared details of available data, data assessments/appraisals and methodologies.
Impact The group has contributed to the evidence base that supports UBDC's acquisition of two mobility data sets (from Huq and Tamoco) as well as providing compelling expertise and experience around data valuation and market factors for data acquisition.
Start Year 2020
 
Description Mobility Data Working Group 
Organisation Transport Scotland
Country United Kingdom 
Sector Public 
PI Contribution Contribution to ongoing conversation and scoping work re: availability, utility and accessibility of new forms of mobility data.
Collaborator Contribution Partners have recounted their experiences, data needs and shared details of available data, data assessments/appraisals and methodologies.
Impact The group has contributed to the evidence base that supports UBDC's acquisition of two mobility data sets (from Huq and Tamoco) as well as providing compelling expertise and experience around data valuation and market factors for data acquisition.
Start Year 2020
 
Description NHS Greater Glasgow and Clyde Referrals to Community Falls Prevention Programme 
Organisation NHS Greater Glasgow and Clyde (NHSGGC)
Country United Kingdom 
Sector Public 
PI Contribution UBDC has acquired this data and made accessible as open data from its online portal. The data has been used in the production of a policy briefing report for Glasgow City Council entitled "Supporting Independent Living Through the Prediction and Prevention of Falls".
Collaborator Contribution UBDC has acquired this data and made accessible as open data from its online portal. Aggregated counts of referrals per 2011 datazone for the NHS Greater Glasgow and Clyde to the Community Falls Prevention Program. It contains reports of referrals to the Community Falls Prevention Programme per year from 2010-2016, holding a running total for the time period per datazone. The data covers the Greater Glasgow and Clyde Health Board area. Datazones are marked NA or missing from the dataset if nobody from those datazones took up an appointment with the service or because the recorded data is insufficient to attach the datazone. The Community Falls Prevention Program is a program run by NHS Greater Glasgow and Clyde to help stop and advise over 65's on issues surrounding falling. http://www.nhsggc.org.uk/your-health/health-services/osteoporosis-and-falls-prevention-services/community-falls-prevention-programme/ The Data was provided by NHS Greater Glasgow and Clyde Safe Haven. Set up in 2011, along with the Robertson Centre for Biostatistics, Safe Haven is a centre for health data research and act as part of the Scottish branch of the Farr Institute.
Impact As open data in our Portal, we are monitoring its usage on an ongoing basis. Internally, the data has been used in the production of a policy briefing report produced by UBDC in collaboration with Glasgow City Council entitled "Supporting Independent Living Through the Prediction and Prevention of Falls".
Start Year 2017
 
Description NextBike Data Agreement (Glasgow City Council) 
Organisation Glasgow City Council
Country United Kingdom 
Sector Public 
PI Contribution UBDC has an agreement with Glasgow City Council to use their NextBike bikeshare scheme data for non-commercial purposes
Collaborator Contribution The data, and access to the live API, provide details of the bikesharing infrastructure and status of each of its stations in real time
Impact The data can not currently be shared more widely but is being used in the course of ongoing transportation research within UBDC
Start Year 2019
 
Description North Lanarkshire Council Data Sharing Agreement 
Organisation North Lanarkshire Council
Country United Kingdom 
Sector Public 
PI Contribution UBDC has facilitated the creation of a data sharing agreement between North Lanarkshire Council and the University of Glasgow to provide access to data collected from the Local Authority's online issue reporting platform. This will inform work within the Centre's research agenda relating to changing access to local services in a digital environment
Collaborator Contribution North Lanarkshire has provided data including details of issue reports, submitters and local authority responses under a data sharing agreement
Impact This is a critical data sharing relationship for this work stream and provides a basis to critically assess the benefits and impacts of digital channels to facilitate communication between citizens and government
Start Year 2019
 
Description Norwegian Administrative Data Research Project 
Organisation Norwegian School of Economics
Country Norway 
Sector Academic/University 
PI Contribution I have committed time to data analysis, writing papers, and writing funding applications.
Collaborator Contribution They have committed time to data analysis, writing papers and writing funding applications. They have also provided access to the register data used in the research.
Impact We have had an unsuccessful funding application. We currently have one paper submitted to a journal and one draft of a paper.
Start Year 2014
 
Description Norwegian Administrative Data Research Project 
Organisation Western Norway University of Applied Sciences
Country Norway 
Sector Academic/University 
PI Contribution I have committed time to data analysis, writing papers, and writing funding applications.
Collaborator Contribution They have committed time to data analysis, writing papers and writing funding applications. They have also provided access to the register data used in the research.
Impact We have had an unsuccessful funding application. We currently have one paper submitted to a journal and one draft of a paper.
Start Year 2014
 
Description ONS CCTV Information Sharing 
Organisation Office for National Statistics
Country United Kingdom 
Sector Private 
PI Contribution UBDC researchers and data scientists provided information re: video analytics and object detection / automated counting methods and technologies to inform a study being undertaken at ONS. In addition, we provided data via our API to a UK wide effort to collect such data for purposes of studying some of the effects and behavioural impacts of Covid 19.
Collaborator Contribution ONS contributed their own information and expertise.
Impact Shared knowledge base in technology growth area.
Start Year 2020
 
Description Purdue University, USA and Tongji University, China: initiative on Big Data and Transportation 
Organisation Purdue University
Country United States 
Sector Academic/University 
PI Contribution UBDC supported their initiative on Big Data and Transportation including a workshop on the topic held in Tongji University in July 2016.
Collaborator Contribution UBDC was able to use their initiative on Big Data and Transportation including a workshop on the topic held in Tongji University, to grow influence and reach and promote the Centre internationally.
Impact Unknown.
Start Year 2016
 
Description Purdue University, USA and Tongji University, China: initiative on Big Data and Transportation 
Organisation Tongji University
Country China 
Sector Academic/University 
PI Contribution UBDC supported their initiative on Big Data and Transportation including a workshop on the topic held in Tongji University in July 2016.
Collaborator Contribution UBDC was able to use their initiative on Big Data and Transportation including a workshop on the topic held in Tongji University, to grow influence and reach and promote the Centre internationally.
Impact Unknown.
Start Year 2016
 
Description Registers of Scotland (Land Registry) Open Data Agenda Development 
Organisation Registers of Scotland
Country United Kingdom 
Sector Public 
PI Contribution Participation in several meetings intended to highlight the potential benefits and opportunities of opening up access to Registers of Scotland's sales for consideration (Land Registry) dataset. Currently this data is available only under a commercial licensing agreement, irrespective of purpose/use. UBDC has licensed the RoS dataset before on behalf of its user communities, but the model was costly, prohibitively restrictve and not scalable. An offer was made to undertake a comparative research piece highlighting the differing opportunities and value offered in England and Wales, where the equivalent data is available under and open license. This was warmly received but like the work in general was immediately de-prioritised with the pandemic response dominating agenda.
Collaborator Contribution Outlining the considerations faced by RoS. During conversations an offer was articulated to produce a more open data excerpt that could be accessible by academic audiences. Although a tentative initial step this would have provided some basis for demonstrating demand and value. Unfortunately wtih the pandemic this has not yet been progressed.
Impact - series of conversations - meetings re: open licensing agenda - tentative proposals to undertake comparative analysis and to release summary dataset under less restrictive licensing terms
Start Year 2019
 
Description Renfrewshire Council Data Sharing Agreement 
Organisation Renfreshire Council
Country United Kingdom 
Sector Public 
PI Contribution UBDC will make research results available to the Council.
Collaborator Contribution Renfrewshire Council signed a data sharing agreement with UBDC to provide administrative data for housing research being carried out by the UBDC's Private Rental Housing research strand.
Impact Research has begun (see blog post and data note linked to above). This DSA has also led to a subsequent agreement on health and social care data for a UBDC_based PhD project: see under 'UBDC / Renfrewshire Council Information Sharing Protocol' in this section.
Start Year 2015
 
Description Research collaboration with Korea Advanced Institute of Science and Technology (South Korea) 
Organisation Korea Advanced Institute of Science and Technology (KAIST)
Country Korea, Republic of 
Sector Academic/University 
PI Contribution I was invited to give a guest lecture and introduced UBDC. UBDC became a partner of KAIST for the funded project.
Collaborator Contribution KAIST is planning to have conferences and meetings related to the funded project and inviting our staff. In June 2020, one of our staff will present his project in the conference.
Impact Not yet. However future collaboration plans (e.g., invited talks in the seminars and conferences) are under discussion. In addition, KAIST and UoG are working on MOU.
Start Year 2019
 
Description Research collaboration with University of Seoul (South Korea) 
Organisation University of Seoul
Country Korea, Republic of 
Sector Academic/University 
PI Contribution I visited there and gave a guest lecture about UBDC and recent cycling research. I am currently working on a proposal with them.
Collaborator Contribution They gave me an opportunity to introduce our work in UBDC. They seek for a funding opportunity with us in South Korea.
Impact We have had several conference calls and are preparing research proposal.
Start Year 2019
 
Description SASNet Fellowship Programme: Carla Bailo, Ohio State University 
Organisation Ohio State University
Country United States 
Sector Academic/University 
PI Contribution The SASNet fellowship scheme not only provides a resource to allow the Urban Big Data Centre to offer a range of training and capacity-building events to our networks and wider community of social scientists, it also provides time for the fellow to engage and interact more closely with the centre's research and services. During Carla Bailo's 3-day visit in March, we made arrangements for Carla to meet with UBDC's research and Data Services teams as well as with our stakeholders with interests in smart city innovation. Further to this, a training workshop was arranged titled 'Smart Mobility and Smart Cities - Access & Opportunities' which was attended by a large audience of around 60 people including transport planners, telecommunications consultants and academics from public policy and business (http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/smart-mobility-and-smart-cities-access-opportunities).
Collaborator Contribution Separate meetings with Carla Bailo were set up with several group within UBDC and our local partners and collaborators. A top-level meeting with UBDC management and senior researchers saw discussion on common research aims and how respective research centres are structured. She met with a smaller UBDC research group comprising postdocs and PhD students to share ideas in work relating to Smart Mobility and future transport solutions. Further to this she met Iain Docherty, Professor of Public Policy and Governance from Glasgow's Business School who is leading ongoing development work on the University's Smart Campus.
Impact As indicated above, interest in Smart Technologies span a broad range of disciplines, many of which were reached during Carla Bailo's outreach activities. In addition to the workshop and individual meetings, the visit brought about continues discussion via our social media channels and the presentation has been made available to download via the UBDC website.
Start Year 2017
 
Description SASNet Fellowship Programme: Dr Anuj Sharma, Iowa State University 
Organisation Iowa State University
Department Institute for Transportation
Country United States 
Sector Academic/University 
PI Contribution The SASNet fellowship scheme not only provides a resource to allow the Urban Big Data Centre to offer a range of training and capacity-building events to our networks and wider community of social scientists, it also provides time for the fellow to engage and interact more closely with the centre's research and services. During Dr Sharma's visit, we made several arrangements for him to meet various members of the centre and some key stakeholders to discuss his transport research and aspects of his data management infrastructure. Additionally, we arranged and advertised a training workshop for him to deliver. The workshop was titled 'Data Management for Urban Transport Operations' and attended by approx. 30 people from transport industry and research backgrounds (http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2016/data-management-for-urban-transport-operations/).
Collaborator Contribution During Dr Sharma's 4 day fellowship in Glasgow, he met with 5 different groups, arranged according to their research and data management interests. Future collaborative projects were discussed and knowledge and advice was exchanged. Following the training, Dr Sharma provided a training resource for publicly available download from the UBDC website.
Impact The outcome from this collaboration to date has been in the form of improved capacity within the field of data analytics covered in the training. Additionally, through meetings and networking opportunities that were provided across disciplines including physics, engineering and social sciences, more tangible outputs would be expected in the fullness of time.
Start Year 2016
 
Description SASNet Fellowship Programme: Dr Jan Kazak, Wroclaw University of Environmental and Life Sciences 
Organisation University of Wroclaw
Country Poland 
Sector Academic/University 
PI Contribution This fellowship was arranged as a result of a successful application to UBDC's SASNet Fellowship Programme (terms described here: http://ubdc.ac.uk/outreach-plus-training/sasnet/fellowship-programme/). Jan Kazak, a researcher from the Wroclaw University of Environmental and Life Sciences in Poland, worked with our iMCD Household Survey and Travel Diary data on a short project to study aspects of urban design - land use, accessibility of services and facilities and neighbourhood attributes - and the relationship of these aspects to the lifestyles of elderly people. Travel, accommodation and office space was arranged for Jan for his 4-week visit. Members of UBDC's iMCD project oversaw Jan's data analysis work. The UBDC data service team also helped refine Jan's research questions and guided him through the process of gaining access this secure data via eDRIS.
Collaborator Contribution Jan Kazak's work with the iMCD data provided evidence of another interesting use case for this unique data collection. As part of his visit, Jan also ran a half-day workshop titled 'Decision Support Systems in Urban Planning' that demonstrated the application of decision support software models in urban planning and shared the materials via the UBDC website resources page. It was attended by a mixed group of around 25 urban planners, councillors and academics (http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/decision-support-systems-in-urban-planning)
Impact Jan wrote a blog for the UBDC website (as per the link above) to describe the process of working on the project and the support provided by UBDC. He has recently presented this project work at an event at the University of Bristol, 'Health: the Design, Planning and Politics of How and Where We Live' (Jan 25-26), and has a paper based on this submitted for publication to a scientific journal. He continues to expand on this strand of research in collaboration with UBDC.
Start Year 2017
 
Description SASNet Fellowship Programme: Dr Mirela Causevic, Center for Big Data Statistics (CBDS) 
Organisation Statistics Netherlands
Country Netherlands 
Sector Public 
PI Contribution This fellowship was arranged as a result of a successful application to UBDC's SASNet Fellowship Programme (terms described here: http://ubdc.ac.uk/outreach-plus-training/sasnet/fellowship-programme/). Mirela Causevic, a data scientist from the Center for Big Data Statistics (CBDS) in the Netherlands, joined UBDC for on a three-week visit in which she engaged with UBDC researchers and data service providers in an exploratory project leading to comparisons of UBDC's UK-based travel and mobility data with official statistics and data resources available to CBDS in the Netherlands. Travel, accommodation and office space was arranged for Mirela and meetings were scheduled throughout her stay with UBDC researchers and the data team. Mirela was given access to a number of UBDC transport and mobility datasets.
Collaborator Contribution As the purpose of Mirela's visit was to help strengthen ties between the two Big Data research centres, her project and subsequent presentation provided a valuable insight into each centre respective areas of expertise and ideas of projects that could benefit from both. CBS' international leadership and inspiring innovation around data makes them a valued partner and UBDC is learning a great deal about priorities and gaps facing evidence-based decision making and about where our Centre's contributions may fit in in a global context.
Impact Following on from Mirela's presentation, she provided the collaborating centres with a summary document detailing common research areas and possible research questions to collaborate on in the future. UBDC and CBS have established a positive working relationship and collaborations such as Mirela's fellowship visit offer further opportunities to share insights, best practice and data. Outputs from Mirela's fellowship visit - and further collaboration with CBS etc - will be detailed on the Partnerships page of the new UBDC website when it launches.
Start Year 2017
 
Description SASNet Fellowship Programme: Francesca Hogg, Sustrans 
Organisation Sustrans
Department Research and Monitoring Unit
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution This fellowship was arranged as a result of a successful application to UBDC's SASNet Fellowship Programme (terms described here: http://ubdc.ac.uk/outreach-plus-training/sasnet/fellowship-programme/). It was agreed that Francesca Hogg, an Evaluation Officer at Sustrans' Newcastle office, would work on a 2-month project under the advisement of Mark Livingston (Research Associate, UBDC) to assess the impact on Sustrans' work on school cycling intervention schemes in Scotland. This involved the arrangement of several Skype meetings, visits to the UBDC, access to data, assistance with data linkage and modelling work, use of UBDC equipment and training in mapping software QGIS during UBDC's summer training programme. A workshop was arranged at the end of the fellowship scheme to share the project's findings. This workshop was titled 'Active Travel to School - The Effectiveness of School-based Travel Interventions' and was attended by a varied audience of over 50 people (http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/active-travel-to-school-the-effectiveness-of-school-based-travel-interventions/).
Collaborator Contribution As part of the fellowship agreement, Francesca provided presentations at two of our seminar events. The first was specifically to share the project results (http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/active-travel-to-school-the-effectiveness-of-school-based-travel-interventions/) and the second, to speak at a larger active travel event (http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/data-challenge-demo-day/). The collaboration also let to a data sharing agreement with UBDC planning to host Sustran's iBike, HUSS and cycle counter data via the UBDC Data Service.
Impact Sustrans are producing a case study for the UBDC website to show the impacts of certain interventions relating to active travel to school in Scotland, as a follow up to the collaboration via the SASNet fellowship and their SASNet seminar in October 2017. This is due to be published in March 2018. These results will help to select and refine successful schemes for to encourage improvements to health and transport infrastructure. This collaboration has also led to a blog on gender and active travel, which is planned for late March and ongoing dialogue through events and the data sharing agreement.
Start Year 2017
 
Description SASNet Fellowship Programme: Rachel Aldred, University of Westminster 
Organisation University of Westminster
Country United Kingdom 
Sector Academic/University 
PI Contribution Dr Rachel Aldred, a reader in Transport at the University of Westminster, visited UBDC via the SASNet Fellowship Programme to talk about her research insights into cycling injury risk through a series of meetings that were arranged for her and a seminar. Arrangements for travel and accommodation were made for her for her 3-day visit and 5 meetings were scheduled to allow her to meet with interested parties within UBDC, Glasgow City Council, Sustrans and Glasgow Centre for Population Health. Mark Livingston, a RA at UBDC introduced he to many people actively working in similar research areas and chaired her seminar.
Collaborator Contribution There was a mutually beneficial exchange of knowledge and research ideas throughout Rachel's meetings at UBDC and she provided a very well attended seminar. The seminar was titled 'Using Cycling Flow Data to Analyse Injury Risk', attracting an audience of around 60. Active travel and work with Strava data has proven to be a popular topic within UBDC's contact network so the seminar was an excellent opportunity for engagement and to promote UBDC's data service.
Impact Following on from Rachel Aldred's visit Mark Livingston visited the University of Westminster to talk about his UBDC work using Strava Metro data to evaluate cycling interventions. Current collaborative work includes pursuing Strava data for London from TFL to increase UBDC's overall UK coverage for Strava data and UBDC are also in the process of developing some joint research proposals with her.
Start Year 2017
 
Description SASNet Fellowship Programme: Steven Ramage, World Meteorological Organization 
Organisation World Meteorological Organization
Country Switzerland 
Sector Public 
PI Contribution The SASNet fellowship scheme not only provides a resource to allow the Urban Big Data Centre to offer a range of training an capacity-building events to our networks and wider community of social scientists, it also provides time for the fellow to engage and interact more closely with the centre's research and services. During Mr Ramage's visit, we made several arrangements for him to meet various members of the centre and some key stakeholders to discuss his variety of advisory roles and future ambitions to broaden the knowledge and use of open geospatial data standards. Additionally, we arranged and advertised a training workshop for him to deliver. The workshop was titled 'An Introduction to Open Geospatial Standards' and attended by approx. 40 people with interests ranging from data security to tourism (http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2016/an-introduction-to-open-geospatial-standards/).
Collaborator Contribution During Steven Ramage's 3-day fellowship in Glasgow, he met with 3 different groups, arranged according to their research interests. Future collaborative projects were discussed and in particularly, one whereby UBDC could expand their open data portal offerings by linking with the data available via the WMO and OGC portals. Discussions relating to the technical delivery of this are ongoing. Following the training, a training resource was made publicly available for download from the UBDC website.
Impact The outcome from this collaboration to date has been in the form of improved capacity within the field of data analytics covered in the training. Additionally through meetings and networking opportunities that were provided during the visit, more tangible outputs would be expected in the fullness of time. As mentioned above, collaboration between our data management team and Mr Ramage in ongoing with a view to consolidating geospatial datasets on our open data portals.
Start Year 2016
 
Description Scottish Informatics and Linkage Collaboration (SILC) 
Organisation Administrative Data Research Centre for Scotland
Country United Kingdom 
Sector Academic/University 
PI Contribution UBDC as part of this partnership delivers an end-to-end service for secure / safelab administrative data research. We find projects with impactful objectives around urban big data research and support them in finalising needed data sharing agreements, privacy impact assessments, etc.
Collaborator Contribution These partners provide the physical 'safelab' facilities for UBDC's Controlled Data Service users, plus other infrastructure such as expert staff to do secure data linkage.
Impact Delivery of data and services to internal UBDC projects (Education and Housing) plus 7 external Controlled Data Service projects under way. Co-delivery of Data Linkage Scotland event which raised awareness of UBDC's services. UBDC has delivered two training workshops (in Glasgow and Manchester) introducing researchers to the use of SILC facilities via UBDC, from which UBDC has already had several enquiries.
Start Year 2016
 
Description Scottish Informatics and Linkage Collaboration (SILC) 
Organisation Farr Institute of Health Informatics Research
Country United Kingdom 
Sector Academic/University 
PI Contribution UBDC as part of this partnership delivers an end-to-end service for secure / safelab administrative data research. We find projects with impactful objectives around urban big data research and support them in finalising needed data sharing agreements, privacy impact assessments, etc.
Collaborator Contribution These partners provide the physical 'safelab' facilities for UBDC's Controlled Data Service users, plus other infrastructure such as expert staff to do secure data linkage.
Impact Delivery of data and services to internal UBDC projects (Education and Housing) plus 7 external Controlled Data Service projects under way. Co-delivery of Data Linkage Scotland event which raised awareness of UBDC's services. UBDC has delivered two training workshops (in Glasgow and Manchester) introducing researchers to the use of SILC facilities via UBDC, from which UBDC has already had several enquiries.
Start Year 2016
 
Description Scottish Open Data Unconference Partnership 
Organisation Code the City
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution UBDC is supporting the Scottish Open Data Unconference (Aberdeen 14th and 15th March 2020), administered by Code The City, with participation and modest funding
Collaborator Contribution The event will bring together data scientists and those with relevant core skills and provide a means to showcase UBDC's own work
Impact Participation with a modest sponsorship will provide us with the means to connect with relevant technologist and domain practitioners in the North East region of Scotland
Start Year 2020
 
Description Scottish Parliament Information Centre housing fellowship 
Organisation Scottish Parliament
Department Scottish Parliament Information Centre (SPICe)
Country United Kingdom 
Sector Public 
PI Contribution I received a SPICe funded fellowship position to carry out an evidence review, consultation, and to develop and write two briefing papers with colleagues at SPICe, and CaCHE on the private rental sector.. I was primarily responsible for carrying out the review, and consultation with senior figures in the industry. I was responsible for writing Briefing paper 1 and for making a significant contribution to writing Briefing paper 2. Much of this work built on and was informed by the work we had been doing in the housing research group at the UBDC.
Collaborator Contribution SPICE provided resources and expertise in the form of Kate Berry who is a Senior Researcher (Justice and Social Affairs Unit). Kate co-wrote the briefing papers, helped organise dissemination events and papers.
Impact We have produced two briefing papers as a result of this fellowship: PRIVATE RENTING REFORMS: HOW TO EVIDENCE THE IMPACT OF LEGISLATION https://digitalpublications.parliament.scot/ResearchBriefings/Report/2018/11/14/Private-renting-reforms--how-to-evidence-the-impact-of-legislation-1 OVERVIEW OF PRIVATE RENTED HOUSING REFORMS IN SCOTLAND https://digitalpublications.parliament.scot/ResearchBriefings/Report/2019/5/14/Overview-of-private-rented-housing-reforms-in-Scotland
Start Year 2018
 
Description Scottish Power Energy Networks (SPEN) Collaboration 
Organisation Scottish Power Ltd
Department Scottish Power Energy Networks
Country United Kingdom 
Sector Private 
PI Contribution Co-developing research and impact/engagement activities with SPEN around zero-carbon agenda and SPEN's transition to Distribution System Operator. Includes research and impacts intended to align with forthcoming COP26 meeting in Glasgow, 2021. Participation in a series of meetings intended to highlight opportunities for SPEN re: - the use of new and emerging forms of data in maintaining adequate infrastructure for new demands on the energy network as a result of zero carbon agenda - appropriate data management policies and approaches - sourcing of new data sources to inform policy development
Collaborator Contribution SPEN are providing use cases and impact pathways for UBDC research and methods and ultimately are expected to contribute resources to facilitate the completion of related research and impact activities.
Impact - planned research / impact collaborations - outcomes of intensive SPEN / UBDC workshop - SPEN data management policy
Start Year 2019
 
Description Spatial Interaction Modelling (Arizona State University and UBDC) 
Organisation Arizona State University
Department School of Geographical Sciences and Urban Planning
Country United States 
Sector Academic/University 
PI Contribution UBDC researcher Dr Katarzyna Sila-Nowicka has been working with researchers at ASU on topics related to spatial interaction modelling, bringing expertise gained at UDC.
Collaborator Contribution Prof. Stewart Fotheringham from ASU is bringing his own expertise in the area of spatial interaction modelling to this collaboration with UBDC.
Impact This collaboration will lead to scientific outputs including publications and provision of data services to users at UBDC.
Start Year 2016
 
Description Strathclyde Partnership for Transport 
Organisation Strathclyde Partnership for Transport
Country United Kingdom 
Sector Public 
PI Contribution We had meetings and collected subway data for research. Our team is currently working on public transport research with the data.
Collaborator Contribution They provided us their data so we can do research about public transport system in Glasgow.
Impact We are working on a paper about public transport systems in Glasgow. We will use it to make further collaboration with them.
Start Year 2019
 
Description Strava Impact Accelerator Account Partnership 
Organisation Strava, Inc
Country United States 
Sector Private 
PI Contribution Driven by GDPR and the broader evolving data privacy context, Strava announced in 2018 several changes to the data specification for its Metro product. Among the changes were additional aggregation and rounding of data counts as well as limitations on origin/destination information available from within the dataset. Given the sensitive context, Strava is understandably resistant to implementing a more relaxed data specification. We have had productive conversations with Strava regarding best practice for balancing analytical value with privacy protection, and shared several resources that outline methods for disclosure control that optimise the value of data. There are several methodologies available for achieving similar outcomes, enabling the production of privacy-protected data specifications that offer higher levels of utility than those currently available. Strava colleagues indicated that our feedback regarding the new Metro specification is consistent with that received from elsewhere. We aimedto be able to support Strava's response by initially offering recommendations to support greater flexibility, providing end users with expressive datasets while retaining appropriate safeguards and assurances of methodological robustness. We have therefore undertaken a full substantive review of the new Strava Metro format and sought to evaluate its continued utility and value, including its expressiveness to be used to reproduce existing work undertaken with older specification data.
Collaborator Contribution Staff time Strava has agreed to provide a range of resources in support of this research activity, primarily in terms of staff availability, including engineering, spatial specialists and strategic / management, but also including limited data availability: 3 x staff members - 1 product manager, 1 engineer, 1 geospatial analyst 8-10 hours each Non-staff costs Sample data for additional areas of study, custom data builds to support research
Impact The study has revealed several opportunities to optimise Strava's new approach, whether in terms of adjustments to the specification itself, or refinement of governance and sharing arrangements to mitigate risks associated with less aggregated data in a less destructive way. We are currently in the final stages of publishing the report and engaging with Strava senior management. We remain hopeful that our role of critical friend will continue to be valued by Strava; the experience has also provided useful opportunities to reflect on some of the challenges and implicit tensions in academic collaborations with commercial organisations, as well as to develop appropriate mitigation measures to effectively offset these.
Start Year 2019
 
Description Tamoco Data License 
Organisation Tamoco Limited
Country United Kingdom 
Sector Private 
PI Contribution UBDC has agreed a contract with Tamoco for the supply of mobility data covering the period 2019 - 2021, enabling its usage for academic research and government non-commercial usage.
Collaborator Contribution Through its relationships with a wide selection of mobile app publishers Tamoco captures location information of app users and relates these to a network of points of interest. Our data coverage includes Glasgow and the seven neighbouring local authorities.
Impact Data availability to commence in February 2021. We anticipate widespread interest in the data, including from local government within the Glasgow City Region and wider Scottish policy communities, as well as elsewhere within the UK. In addition, we have been collaborating in conversations with the Open Data Institute and Cabinet Office / Geospatial Commission re: agenda for acquiring new mobility information. Furthermore, the data will inform UBDC's own research agenda around transport and mobility as well as economic activity.
Start Year 2020
 
Description The Data Lab Data Fest Fringe 
Organisation The Data Lab - Innovation Centre
Country United Kingdom 
Sector Private 
PI Contribution UBDC has agreed to run a workshop on effective models for engagement between academia and government as part of Datalab's annual Datafest Fringe
Collaborator Contribution Datalab will support our event with promotion and market the event and its outcomes to a wide audience of highly relevant stakeholders
Impact Datafest is a premier data-related fixture within the Scottish event calendar and our association with it as part of the fringe will serve to promote our work and extend our reach and influence with key public sector, industry, third sector and academic stakeholders
Start Year 2019
 
Description The Improvement Service - Data Agreement 
Organisation Improvement Service
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution UBDC has been in negotiation for some time with the Improvement Service to help facilitate broader access to data, specifically for academic use. This is expected to be ultimately a responsibility that EDINA will administer through its Digimap platform but for the time being we have been given confirmation that we may act as data distributors provided that terms of use are adhered to
Collaborator Contribution Improvement Service has published c. 36 datasets for academic use that UBDC is positioned to promote and assist in making available
Impact Data such as nationwide school catchment areas have been long sought after by UBDC and associated researchers so this development has the opportunity to inform well established and refined work
Start Year 2019
 
Description UBDC - Lumiere Property Collaboration 
Organisation Lumiere Property
Country United Kingdom 
Sector Private 
PI Contribution Four MSc Urban Analytics students work on the urban analytics group project to look at Using Urban Data Science to Predict Property Development Planning Successes: Recommendations to Lumiere Property in 2020. In 2021, 4 MSc Urban Analytics students work on the group project again to look at how to classifying protected trees by using deep learning models.
Collaborator Contribution Geoff from the Lumiere Property provides data, guidance, and support for the student group project.
Impact A student group project report has been produced and delivered to the Lumiere Property.
Start Year 2019
 
Description UBDC - Sustrans Collaboration 
Organisation Sustrans
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution A collaborative MSc dissertation has been established with the Sustrans through the Data Lab Scholarship Placement program.
Collaborator Contribution Cecilia from the Sustrans provides data, guidance, support, and internship salaries for our MSc students.
Impact A MSc dissertation in progress.
Start Year 2021
 
Description UBDC - the Salvation Army Collaboration 
Organisation Salvation Army
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution A collaborative dissertation proposal has been established with the Salvation Army and is submitted to SGSSS collaborative PhD fellowship.
Collaborator Contribution Adrian from the Salvation Army provides data, guidance, and support for the 4 years PhD projects.
Impact N/A
Start Year 2020
 
Description UBDC / AURIN Memorandum of Understanding 
Organisation University of Melbourne
Department Australian Urban Research Infrastructure Network (AURIN)
Country Australia 
Sector Public 
PI Contribution UBDC has met with key people from AURIN, and hosted an AURIN Board Member visit to our Centre to discuss matters of mutual interest.
Collaborator Contribution AURIN staff have visited UBDC and presented on their work and experiences to UBDC staff.
Impact A signed MOU with the Australian Urban Infrastructure Research Network (AURIN) to establish our cooperative research relationship and explore joint projects together. Project development is ongoing. This collaboration is multi-disciplinary as both Centres involve a wide range of disciplines involved in researching urban issues.
Start Year 2014
 
Description UBDC / BlueSky LiDAR Data Sharing Agreement 
Organisation Bluesky International
Country United Kingdom 
Sector Private 
PI Contribution The UBDC data service has agreed with BlueSky to make their LiDAR data for the Glasgow area (2003) available for non-commercial research purposes to users. UBDC has also used this data in developing materials that promote BlueSky's involvement.
Collaborator Contribution LiDAR - Light Detection and Ranging - is a remote sensing method used to examine the surface of the Earth. LiDAR data is extremely accurate 3D data generated from sensors on the ground or on airplanes. These accurate models have uses for local government planners who need detailed structural plans of the city. LiDAR is also regularly used by archaeologists, computer scientists, and civil engineering companies. This data is available as part of UBDC's Safeguarded Data Collection. Data owner: BlueSky Coverage (geographical): Glasgow Coverage (time): 2003 Who can use this data? Only academic research users
Impact The LiDAR Data available at UBDC has been requested by a number of internal and external users (ca 50 requests to date). It is a key component of our integrated Multimedia City Data (iMCD) collection. It has been used to develop a planning map for Glasgow University's Western Infirmary site development, and has also been used to create a popular graphic that UBDC has made available of traffic flows in Glasgow: https://www.youtube.com/watch?v=xzpRUuDjiO4 Research publications based on this data are in progress.
Start Year 2015
 
Description UBDC / British Geological Survey Data Sharing Agreement 
Organisation British Geological Survey
Department Accessing Subsurface Knowledge Network
Country United Kingdom 
Sector Academic/University 
PI Contribution UBDC offering BGS CUSP data for the Glasgow region in our Safeguarded Data Collection for urban and data science researchers is extending the impact of this data, which has previously mainly been used by engineers and other technical planning operations.
Collaborator Contribution Licensing of BGS CUSP data for the Greater Glasgow and the Clyde estuary and catchment areas from the CUSP project, so that non-commercial research use can be made of the data within urban studies / urban science and data science.
Impact UBDC anticipates using the data internally on data models, visualisations, urban indicators and more, plus we have had several enquiries to use the data from external users leading to strong potential for KE and policy-related impact in Glasgow and Scotland, including from colleagues interested in the data's applications within the ESRC Understanding Inequalities project.
Start Year 2016
 
Description UBDC / DCLG Data Sharing Agreement - Zoopla data 
Organisation Department for Communities and Local Government
Country United Kingdom 
Sector Public 
PI Contribution The UK Department for Communities and Local Government entered into a sub-licensing agreement with UBDC to access Zoopla property listings data in our Safeguarded Data Collection, to support real time tracking of housing market information and explore methods for matching the data to other administrative datasets.
Collaborator Contribution We remain in dialogue with DCLG regarding outputs from their use of this data.
Impact We expect that government will produce outputs from their use of Zoopla and similar data that offer compelling public interest benefits.
Start Year 2017
 
Description UBDC / Essex County Council Data Sharing Agreement - Zoopla data 
Organisation Essex County Council
Country United Kingdom 
Sector Public 
PI Contribution Essex County Council entered into a sub-licensing agreement with UBDC to access Zoopla property listings data in support of their pursuit of new, innovative and commercially driven ways of addressing the increase and diversity of population, housing and jobs.
Collaborator Contribution This project was eventually cancelled by Essex County Council.
Impact None.
Start Year 2016
 
Description UBDC / Experian Data Sharing Agreement 
Organisation Experian
Country Ireland 
Sector Private 
PI Contribution UBDC has acquired from Experian its GOAD Retail Address data, offering a perspective of commercial retail properties across five separate years.
Collaborator Contribution Goad Plan Data Experian is a dataset with retail areas within urban areas across the whole UK and Ireland; its comprehensiveness and time period coverage has the potential to support high quality research through both coverage and geographic linkability; and the data is "naturally occurring" in that it is collated by a company for use in planning and marketing commercial ventures in cities.
Impact Data in use in various internal and external projects associated with commercial retail. 16 requests for this data have been received to date.
Start Year 2018
 
Description UBDC / Glasgow City Assessor Data Sharing Agreement 
Organisation Glasgow City Council
Department Glasgow City Assessor
Country United Kingdom 
Sector Public 
PI Contribution UBDC has established itself as a license provider of this data.
Collaborator Contribution We have received from Glasgow City Assessor Valuation Roll data for the period 1995 to 2018. The dataset contains location, property description and net annual value and rateable value information for commercial properties within the Glasgow City Local Authority Area.
Impact Data in use in various studies into commercial property. 7 requests for this data have been received to date.
Start Year 2018
 
Description UBDC / Glasgow City Council Data Sharing Agreement - Strava data 
Organisation Glasgow City Council
Country United Kingdom 
Sector Public 
PI Contribution Glasgow City Council entered into a sub-licensing agreement with UBDC to access Strava Metro data from our Safeguarded Data Collection, to inform infrastructural planning and development.
Collaborator Contribution This collaboration is in the process of identifying a strategic access network for the Glasgow City Region which includes walking and cycling. The purpose of this exercise is to inform the development of a Green Network "Blueprint" for the next regional city plan (which will replace the Strategic Development Plan - Clydeplan). The under lying principle is that as far as is possible the Green Network should facilitate the movement of people around the city region to places of work and education, for recreation and a myriad of other activities.
Impact We hope to identify policy impact based on the use of this data within Glasgow.
Start Year 2018
 
Description UBDC / Glasgow City Council Over-65s Falls Data 2011 - 15 Data Sharing Agreement 
Organisation Glasgow City Council
Country United Kingdom 
Sector Public 
PI Contribution UBDC has acquired data from ISD Scotland that can be shared under an open licence. The UBDC collaborative project "Supporting independent living through the prediction and prevention of falls", with Glasgow City Council, has made this and other data more widely available, and produced a policy briefing report for the use of Glasgow City Council.
Collaborator Contribution UBDC has acquired data from ISD Scotland that can be shared under an open licence. The dataset provides information about falls among people 65 and older. The data covers Glasgow City Council area for years ending 31 March 2011-2015. Data is provided by 2011 datazones. The data was purchased from Information Services Division (ISD) Scotland (part of NHS National Services Scotland) by UBDC for the collaborative project "Supporting independent living through the prediction and prevention of falls" between UBDC and Glasgow City Council. The data comes from two main sources: • Scottish Morbidity Records (SMR01 - General / Acute Inpatient and Day Case). Data is based on year of discharge from hospital. Population data is from National Records of Scotland (NRS). More on SMR 01 http://www.ndc.scot.nhs.uk/Data-Dictionary/SMR-Datasets//SMR01-General-Acute-Inpatient-and-Day-Case/ • Unscheduled Care Datamart (UCD) - The UCD is populated by data from a variety of services. These data come from NHS 24 and the Scottish Ambulance Service (SAS).
Impact As open data in our Portal, we are monitoring its usage on an ongoing basis. Internally, the data has been used in the production of a policy briefing report produced by UBDC in collaboration with Glasgow City Council entitled "Supporting Independent Living Through the Prediction and Prevention of Falls".
Start Year 2017
 
Description UBDC / Glasgow City Council Over-65s Falls Data 2011 - 15 Data Sharing Agreement 
Organisation Information Services Division (ISD)
Country United Kingdom 
Sector Public 
PI Contribution UBDC has acquired data from ISD Scotland that can be shared under an open licence. The UBDC collaborative project "Supporting independent living through the prediction and prevention of falls", with Glasgow City Council, has made this and other data more widely available, and produced a policy briefing report for the use of Glasgow City Council.
Collaborator Contribution UBDC has acquired data from ISD Scotland that can be shared under an open licence. The dataset provides information about falls among people 65 and older. The data covers Glasgow City Council area for years ending 31 March 2011-2015. Data is provided by 2011 datazones. The data was purchased from Information Services Division (ISD) Scotland (part of NHS National Services Scotland) by UBDC for the collaborative project "Supporting independent living through the prediction and prevention of falls" between UBDC and Glasgow City Council. The data comes from two main sources: • Scottish Morbidity Records (SMR01 - General / Acute Inpatient and Day Case). Data is based on year of discharge from hospital. Population data is from National Records of Scotland (NRS). More on SMR 01 http://www.ndc.scot.nhs.uk/Data-Dictionary/SMR-Datasets//SMR01-General-Acute-Inpatient-and-Day-Case/ • Unscheduled Care Datamart (UCD) - The UCD is populated by data from a variety of services. These data come from NHS 24 and the Scottish Ambulance Service (SAS).
Impact As open data in our Portal, we are monitoring its usage on an ongoing basis. Internally, the data has been used in the production of a policy briefing report produced by UBDC in collaboration with Glasgow City Council entitled "Supporting Independent Living Through the Prediction and Prevention of Falls".
Start Year 2017
 
Description UBDC / Glasgow City Council Project Collaboration 
Organisation Glasgow City Council
Country United Kingdom 
Sector Public 
PI Contribution In collaboration with the Glasgow City Council, the project 'Supporting independent living' aimed to understand the reasons behind falls among the elderly, through the analysis of various data sources, including open data available from the UBDC, so that effective strategies can be developed to prevent them. UBDC sourced and acquired the relevant data for the project and provided an intern (from the Q-Step Programme) to assist with the final report.
Collaborator Contribution Glasgow offered initial context to the issue and explored availability of their own data to share in support of the research outcomes.
Impact As an outcome of this work UBDC produced a policy briefing report summarising the pattern of falls in the elderly population in Glasgow City and making several recommendations in order to inform effective interventions on falls prevention. The Centre also now has open data acquired and developed for this project available to researchers in the Open Data Portal: http://ubdc.gla.ac.uk/dataset/fms-glasgow-to-2017, http://ubdc.gla.ac.uk/dataset/gcc-over65-falls-2011-15 and http://ubdc.gla.ac.uk/dataset/nhs-ggc-cfpp-referrals-2010-16, and a blog post describing the work for the general reader: http://ubdc.ac.uk/news/2018/january/supporting-independent-living-by-preventing-falls/.
Start Year 2016
 
Description UBDC / Higher Education Statistics Authority (HESA) Data Sharing Agreement 
Organisation Higher Education Statistical Agency
Country United Kingdom 
Sector Private 
PI Contribution UBDC has acquired from HESA data on students, qualifiers and leavers 2000/01-2015/16 at UK HE providers. In its raw form the data is accessible to only named authorised researchers but UBDC is permitted to produce aggregate derived datasets for wider distribution for academic research use.
Collaborator Contribution HESA has made the data available to named researchers from UBDC's Educational Place and Disadvantage project but permits the production and wider sharing (for academic use) of derived aggregate datasets.
Impact The data provided will benefit the UBDC Educational Place and Disadvantage project to continue to develop a whole-of-life picture of educational journeys and outcomes, in association with previous data acquisitions including data acquired from UCAS and the Scottish Government. We expect wider research audiences to similarly benefit from aggregate datasets that will be made available. Future plans for linkage of this data with other data acquired are summarised in this blog post by UBDC researcher Phil Mason: http://ubdc.ac.uk/news/2018/february/educational-trajectories-and-place-based-disadvantage-looking-deeper-and-wider/
Start Year 2018
 
Description UBDC / Lokku Limited (Nestoria) Data Sharing Agreement 
Organisation Lokku Limited
Country United Kingdom 
Sector Private 
PI Contribution UBDC has become the UK distributor for data from the Nestoria housing advertisement website, for non-commercial research use. We enable research with scientific and public benefit impact to be done with the data, which provides Nestoria with positive publicity.
Collaborator Contribution UBDC has permission from Lokku Limited to make data downloaded from the Nestoria property search engine for Glasgow, and subsequently the whole UK, for non-commercial research use. The data covers both sales and rental properties advertised and was collected daily from Nestoria. The data includes the summary description of the property, advertised price, number of bedrooms and bathrooms, updates, image links and location (lat/lon). Coverage (geographical): Glasgow region (G postcodes and selected PA postcodes); now collecting UK-wide data. Format: Monthly sales or rentals files in csv format.
Impact Nestoria's data has evinced some interest with UBDC's data service users, both within the UBDC consortium, and with external users with ca 35 requests to date. However, over time it has been overtaken by the Zoopla data collection, as ongoing research and investigation has shown the Nestoria data to not be as useful for housing research. Nevertheless, it is still sometimes requested and remains in our Safeguarded Data Collection.
Start Year 2016
 
Description UBDC / Lothian Valuation Joint Board (LVJB) Data Sharing Agreement 
Organisation Lothian Valuation Joint Board
Country United Kingdom 
Sector Public 
PI Contribution UBDC has established itself as a licensed provider of this data.
Collaborator Contribution Lothian Valuation Roll is a dataset which contains an entry for all non domestic properties in the Lothian's administrative areas except those specifically excluded by law. Each entry in the Roll includes the Net Annual Value which has been set by the Assessor and the Rateable Value. The Rateable Value is derived from the Net Annual value and as legislation currently stands, for the majority of properties, Rateable Value and Net Annual Value are the same.
Impact Data in use in various studies into commercial property. 8 requests for this data have been received to date.
Start Year 2018
 
Description UBDC / ONS Data Sharing Agreement - Zoopla data 
Organisation Office for National Statistics
Country United Kingdom 
Sector Private 
PI Contribution ONS entered into a sub-licensing agreement with UBDC to access Zoopla property listings data held in our Safeguarded Data Collection, to inform their feasibility studies in estimating types of properties, characteristics of properties and house sales and rental market.
Collaborator Contribution ONS has published a report into "Rent price statistics for small areas, Great Britain: 2012 to 2016" using data provided by UBDC. Their Big Data Team have also used the Zoopla for investigating 'Caravans and gated communities: homes or holiday properties?', with an ONS article published in April 2018: https://digitalblog.ons.gov.uk/2017/06/21/happy-campers-using-machine-learning-to-identify-caravans-in-zoopla-data/ and code from their work on the ONS public GitHub: https://github.com/ONSBigData/housing_clf.
Impact As well as sharing data with ONS we supported their Data Dive using Housing Data with data and staff support, plus one entrant (under Engagement) and hope to continue to engage on methodological aspects, including with ONS Data Science Campus which was established in 2016.
Start Year 2017
 
Description UBDC / Registers of Scotland Data Sharing Agreement 
Organisation Registers of Scotland
Country United Kingdom 
Sector Public 
PI Contribution UBDC has become a distributor of Registers of Scotland All Sales Property data for non-commercial academic use. We enable research with scientific and public benefit impact to take place, promoting the data and Registers of Scotland's activities and driving wider usage of their services.
Collaborator Contribution RoS has provided access to Current and Historic All Sales data for Scotland, covering 2003 to the January 2019, with new and updated data retrieved on a monthly basis. Reports comprise details of Master, Address, Granter and Applicant. For each registered entry the data includes Application Date, Title Number, Application Number, Application Type, Price Paid, Value, Property Address, Property Easting and Northing and OSAPR, Land Class, Date of Entry an Deed Code information. Property types are also supplied under the terms of the agreement. Projects wishing to use the additional Granter Name/Address and Applicant Name/Address data are required to apply separately via UBDC (UBDC does not hold this information, which may be classified personal data). UBDC is permitted to share for academic research use, although each usage outwith University of Glasgow incurs an additional licensing fee, to be paid by UBDC.
Impact These data will be used by a range of internal UBDC projects and in the development of platforms such as SUDS that aim to present a multidimensional representation of the world through combining data collections. It is also being used by our externally approved project "Integrating Data and Interests within an Urban Retailing System". We have been marketing this dataset for 2 months, for external usage, and have received a number of applications, including work exploring fiscal and energy policy impact. At present three projects (two related PhDs and a contribution to UBDC's sister BDN2 Centre CDRC's small area data validatio work) are approved and in process.
Start Year 2017
 
Description UBDC / Renfrewshire Council Information Sharing Protocol 
Organisation Renfrewshire Council
Country United Kingdom 
Sector Public 
PI Contribution UBDC has acquired data from Renfrewshire Council for the "Health and Social Care" Controlled Data Service project, accessible only to named researchers via the eDRIS National Safe Haven facility. The researcher is working closely with the Council and sharing research results to support their understanding of their data and assist with planning.
Collaborator Contribution The data provided by Renfrewshire Council comprises demographic and social care (care plan, self-directed support, home care, meals, equipment and adaptions, care home, day care, and respite) data from 1st April 2006 to 31st March 2016.
Impact We expect to see scientific and public interest benefits as the research continues. A quote from the partner organisation: "Danny McAllion, Data Analytics and Research Manager at Renfrewshire council, said "This research will help move forward our understanding of how social care is currently delivered and assist us in improving the design and delivery of our services. Working with the UBDC has been a valuable experience and a good example of academia and Local Government sharing resources and expertise. We'll look for opportunities to work with them again in the future."
Start Year 2017
 
Description UBDC / Scotlands Towns Partnership Data Sharing Agreement - Zoopla data 
Organisation Scotland's Towns Partnership
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Scotland's Towns Partnership, part of a consortium that includes Scottish Government, the Centre for Local Economic Strategies (CLES), and the University of Stirling, entered into a sub-licensing agreement with UBDC to access Zoopla property listings data to create a locality-level house price indicator as part of the Understanding Scottish Places platform (USP, http://www.usp.scot). USP is used for non-commercial research purposes, primarily by local authorities, public servants and planning consultants.
Collaborator Contribution We remain in dialogue with STP regarding the publication of these indicators, which we have been advised will appear in April 2018.
Impact Scotland's Towns Partnership (STP) is a Government funded agency for town centre regeneration set up at the end of 2014. USP is a world first data platform modelling all Scottish towns with populations greater than 1000 (479 towns in total). The platform allows users to interrogate towns based on real data - an audit will show weak spots and areas for improvement for Local Authorities to take action. As of mid-2017 the site had received 155k visits. In addition to UBDC data, the resource uses a combination of sources, mainly census based.
Start Year 2017
 
Description UBDC / Scottish Government Data Sharing Agreement - Education Analytical Services (EAS) 
Organisation Government of Scotland
Department Education Analytical Services Division
Country United Kingdom 
Sector Public 
PI Contribution UBDC has acquired under license data from Scottish Government EAS to support named researchers from the UBDC Educational Place and Disadvantage project to explore how place shapes educational disadvantage and learning success and seeking to define the 'spatial school system' in Glasgow City region. The data is accessible only to named researchers via UBDC's Controlled Data Service, using the eDRIS National Safe Haven facility.
Collaborator Contribution Data shared by Scottish Government includes Pupil Census (S4, S5 and S6 for years 2006/07 to 2014/15), school leavers (2006/07 - 2014/15), school attendance and absence (S4, S5 or S6 for years 2006/07-2014/15) and school level variables for secondary schools 2006/07-2014/15. The data are shared at individual level for Glasgow City and the surrounding seven local authorities.
Impact The data is being used by the UBDC Educational Place and Disadvantage project in association with other datasets acquired to support that project. Publications and other outputs are expected. One recent outcome has been the funding awarded by the British Council to some members of the Education research team, for their 'Impact Study of British Council School Programmes', which will include use of the data acquired through this partnership. The grant is over £66,000 and is noted in the Further Funding section. We also have a blog update on progress by UBDC researcher Phil Mason, here: http://ubdc.ac.uk/news/2018/february/educational-trajectories-and-place-based-disadvantage-looking-deeper-and-wider/
Start Year 2016
 
Description UBDC / Scottish Government Data Sharing Agreement - Health and Social Care 
Organisation Government of Scotland
Country United Kingdom 
Sector Public 
PI Contribution UBDC has acquired data for its "Health and Social Care" Controlled Data Service project. This work will provide scientific and public benefit impacts.
Collaborator Contribution UBDC has acquired data for its "Health and Social Care" Controlled Data Service project, accessible only to named researchers via the eDRIS National Safe Haven facility. The data to be provided comprises NHS NSS data (SMR01, SMR04, AE2, PIS), Community Health Index (CHI) data, Social Care Survey 2012 - 16 data (Scottish Government) and Death Registrations data (National Records of Scotland). Data are generally from 2010 - 2015, with CHI for births before 1951 and still alive at end of March 2016.
Impact We expect to see scientific and public interest benefits as the research continues. See also under UBDC / Renfrewshire Council Information Sharing Protocol in this section.
Start Year 2017
 
Description UBDC / Scottish Government Data Sharing Agreement - Looked After Children 
Organisation Government of Scotland
Department Education Analytical Services Division
Country United Kingdom 
Sector Public 
PI Contribution UBDC has acquired data for its "Looked After Children" Controlled Data Service project, accessible only to named researchers via the eDRIS National Safe Haven facility
Collaborator Contribution The data provided by Scottish Government EAS comprises Schools data (pupil census) and Looked After Children data (CLAS) from 2009, to be linked with non-Scottish Government sources from NRS (birth and death registrations) and health data SMR 00,01,02,04, Prescribing Information Systems, and A&E admissions.
Impact We expect to see scientific and public interest benefits as the research continues. The project lead has also looked into getting a PhD student to work on this research.
Start Year 2017
 
Description UBDC / South Tyneside Council Data Sharing Agreement - Strava data 
Organisation South Tyneside Council
Country United Kingdom 
Sector Public 
PI Contribution South Tyneside Council entered into a sub-licensing agreement with UBDC to access Strava Metro data from our Safeguarded Data Collection, to inform its upcoming Cycling and Walking Investment Plan and the development of schemes, both Capital and Revenue for the next several years.
Collaborator Contribution The work is to enhance existing efforts using the Propensity to Cycle Model, in order to provide a robust evidence base to validate and justify financial investments into their network.
Impact We will continue to liaise with the Council to track benefits and impacts.
Start Year 2018
 
Description UBDC / Springboard Data Sharing Agreement 
Organisation Springboard
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution UBDC has acquired Springboard footfall data to make available for academic and public sector research usage.
Collaborator Contribution Springboard has provided access under licence to a dataset comprising average weekly footfall by town and average weekly footfall by specific locations in fifteen UK towns and cities. Coverage includes a total of 48 counting locations across Birmingham, Bristol, Cardiff, Chester, Edinburgh, Glasgow, Leeds, Leicester, Manchester, Newcastle, Norwich, Nottingham, Reading, Southampton and York. Weekly counts are provided from January 2013 to December 2017.
Impact These data are being used in a variety of internal and external research projects, exploring issues including the future of commercial retail, and energy and fiscal policy. To date, 13 requests for these data have been received.
Start Year 2018
 
Description UBDC / Stirling University / NHS Scotland Public Benefits and Privacy Panel Approval 
Organisation NHS National Services Scotland (NSS)
Country United Kingdom 
Sector Public 
PI Contribution UBDC's Controlled Data Service Project "Life Unleaded: investigating the effects of public interventions to reduce water lead pollution on infants and children's health" will allow a researcher based at the University of Stirling carry out research of scientific importance and public benefit impact.
Collaborator Contribution UBDC's Controlled Data Service Project "Life Unleaded: investigating the effects of public interventions to reduce water lead pollution on infants and children's health" has had its public benefits and privacy panel application to use health data approved. The data will be made accessible to named researchers via the eDRIS National Safe Haven. The data to be provided and linked includes SMR 01 and SMR 02 health data as well as death and birth registrations data from NRS for a variety of years, mostly between 1975 and 2000.
Impact We expect to see scientific and public interest benefits as the research progresses.
Start Year 2017
 
Description UBDC / Stirling University / NHS Scotland Public Benefits and Privacy Panel Approval 
Organisation University of Stirling
Country United Kingdom 
Sector Academic/University 
PI Contribution UBDC's Controlled Data Service Project "Life Unleaded: investigating the effects of public interventions to reduce water lead pollution on infants and children's health" will allow a researcher based at the University of Stirling carry out research of scientific importance and public benefit impact.
Collaborator Contribution UBDC's Controlled Data Service Project "Life Unleaded: investigating the effects of public interventions to reduce water lead pollution on infants and children's health" has had its public benefits and privacy panel application to use health data approved. The data will be made accessible to named researchers via the eDRIS National Safe Haven. The data to be provided and linked includes SMR 01 and SMR 02 health data as well as death and birth registrations data from NRS for a variety of years, mostly between 1975 and 2000.
Impact We expect to see scientific and public interest benefits as the research progresses.
Start Year 2017
 
Description UBDC / Strava (Metro) Data Sharing Agreement 
Organisation Strava, Inc
Country United States 
Sector Private 
PI Contribution UBDC is, as a result of this agreement, the UK distributor for UK Strava Metro data from Strava's cycling and walking app, for research use (apart from London data, which is subject to a Strava agreement with TfL). We enable research in any sector, with scientific and public benefit impact, to be done with the data, and use it ourselves in our internal research programmes and SUDS Urban Indicators collection.
Collaborator Contribution Strava is a social network for athletes, recording data from its users who upload cycle rides and running activity via smartphone or GPS device. This dataset, now available in UBDC's Safeguarded Data Collection for research users, currently comprises anonymised data from Strava users in Scotland, Manchester, Sheffield, and Tyne and Wear (including Newcastle). The Strava Metro aggregate information provides GIS compatible data that offer a minute by minute count of users at street level and wait times at intersections based on the Open Street Map roads network. The origin and destination of trips is also available, resolved to census output areas. Data owner: Strava Inc.; Coverage (geographical): Scotland, Tyne & Wear, Manchester, Sheffield; Coverage (time): 2015 - 2018 (quarterly data deliveries), except Sheffield - 2017 only, data corresponding solely to Glasgow is also available for 2013 and 2014; Who can use this data? Anyone; Format: Supplied as ESRI .shp file and csv format.
Impact Strava data has proven very popular with UBDC's data service users, both within the UBDC consortium, and with external users. We have had requests from academics at all levels and from many disciplines, local authorities, public bodies, campaign groups and private individuals to use this data. Approximate requests to date are: Strava (Glasgow): 72; Strava (Scotland): 77; Strava (Tyne and Wear): 48; Strava (Manchester (24). Strava (Sheffield) has not been released for use at time of writing but there has been interest shown from stakeholders already. Research applications include pilot work to explore the influence that road lighting has on cycling activity in several English cities; crash modelling work in a range of UK locations; and research into the effectiveness of resource investment into active travel. In terms of wider policy influence, we are providing Strava data to facilitate planning activities undertaken by Nestrans, the Transport Partnership for Aberdeen City and Shire. Several organisations including Cycling Scotland and South Tyneside Council are using Strava to explore cycling potential and propensity to cycle to validate and incentivise infrastructural investments. We have also attracted ca. 140 additional users of Strava data through participation in data challenge and hack day events administered internally by UBDC as well as in partnership with ONS and Alan Turing Institute, and as part of ProductForge's Public Health hackathon (in collaboration with the NHS). UBDC's own Active Travel Data Challenge and Demo Day brought in ca 40 people from activist, third sector, academic, government and commercial backgrounds and this has lead to several partnership projects. Finally, the permissive terms and conditions of the Strava Metro data has enabled diverse types of engagement with several commercial organisations - we are working with multinational planning companies Sweco and Arup to support their work with local authorities to validate infrastructural investment decisions using Strava data; supporting the improvement of customer insights for ScotRail; and providing Strava data for ESRI (the publisher of leading GIS platform ArcGIS) to develop and demonstrate its visualisation functionality.
Start Year 2016
 
Description UBDC / UCAS Data Sharing Agreement 
Organisation Universities and Colleges Admissions Service
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution UBDC has acquired under license data relating to UK students' applications for entry to UK HE institutions from 2000 to 2015. The data's usage is limited to University of Glasgow researchers.
Collaborator Contribution Our data collection from UCAS comprises aggregated queried data for full- and part-time students (UK and non-UK domiciled) from years of entry to Higher Education study for years 2000 to 2015 inclusive.
Impact The data are being used by the UBDC Educational Place and Disadvantage project: http://ubdc.ac.uk/research/ubdc-staff-research-projects/neighbourhoods-housing-and-educational-opportunity/ - in association with other datasets acquired to support that project. Publications and other outputs are expected from that project. UBDC also retained the services of Q-Step intern Euan Murphie to create an openly available Data Note summarising this data (see under Publications) and co-author a blog post for the general reader about it: http://ubdc.ac.uk/news/2017/may/ucas-application-and-applicant-analysis/
Start Year 2017
 
Description UBDC / Welsh Government Data Sharing Agreement - Zoopla data 
Organisation Government of Wales
Country United Kingdom 
Sector Public 
PI Contribution Several staff members on behalf of the Welsh Government have entered into sub-licensing agreements with UBDC to access Zoopla property listings data to improve knowledge of Welsh housing trends and the Welsh housing market.
Collaborator Contribution We remain in dialogue with colleagues regarding outputs from their use of this data.
Impact We expect that governments will produce outputs from their use of Zoopla and similar data that offer compelling public interest benefits.
Start Year 2017
 
Description UBDC / Zoopla Data Sharing Agreement 
Organisation Zoopla Property Group Ltd
Country United Kingdom 
Sector Private 
PI Contribution UBDC is the UK distributor for data from the Zoopla housing advertisement website, for any non-commercial use (including research and teaching). We enable research with scientific and public benefit impact to be done with the data, which provides Zoopla with positive publicity, as well as giving them information in support of their own data business model.
Collaborator Contribution UBDC has permission from Zoopla Property Group Ltd to make data downloaded from their property website for the whole UK, for non-commercial research use. Zoopla is one of the UK's leading providers of property data for consumers and property professionals, giving free access to information on 27,000,000 homes, up to 1,000,000 property listings and 15 years of sold prices data. UBDC is licensed by Zoopla to 1) provide access to original or resulting data (including historical data) to registered researchers and 2) publish online aggregate data (at Datazone level) comprising counts of the number of advertisements for rental properties and average rentals and counts of the number of advertisements for properties for sale and average prices. Coverage (geographical): United Kingdom. Coverage (time): 2010 to current. Format: JSON or CSV or similar tabular format.
Impact Zoopla data has proven popular with UBDC's data service users, both within the UBDC consortium, and with external users, with ca 60 requests to date. This data is contributing to UBDC's own housing sector research, which will have direct impact on housing service provision and policy. Among the most prominent external users of these data has been ONS, who have been using Zoopla data provided by UBDC in several feasibility studies, to estimate types of properties in local areas, characteristics of properties and the house sales and rental market. This has generated wider enthusiasm for the data, including from the Department of Communities and Local Government who have sublicensed the Zoopla data to support real time tracking of housing market information and explore methods for matching the data to other administrative datasets. Also linked to government, the Zoopla data is being used by a consortium of organisations commissioned by the Scottish Government and led by the Carnegie UK Trust, and also includes Scotland's Towns Partnership (STP), the Centre for Local Economic Strategies (CLES) and the University of Stirling to create a locality-level house price indicator as part of the Understanding Scottish Places platform (USP, http://www.usp.scot). USP is used for non-commercial research purposes, primarily by local authorities, public servants and planning consultants. External academic research using the Zoopla data has explored the impact of Land and Buildings Transaction Tax reform; sought to evaluate the impact of windfarms on nearby house prices; explored seasonality of house prices; interpreted aggregated gas and electricity consumption data at postcode level, in pursuit of an understanding of the correlation with census demographic information and the underlying buildings; and, in the ESRC funded Accessibility, Social justice and Transport emission Impacts of transit-oriented Development strategies (ASTRID) project, investigated the causal mechanisms underlying disparity and social injustice in job accessibility and air quality in metropolitan areas, and the potential of transit-oriented development to promote social justice (Zoopla data from UBDC is being used for a study on affordability of environmental quality and job accessibility in London's segmented housing market).
Start Year 2016
 
Description UBDC Chicago Project working with OAI in Workforce Development, OAI, Inc 
Organisation OAI, Inc
Country United States 
Sector Private 
PI Contribution UBDC's University of Illinois at Chicago project has a partnership with OAI, Inc., based in Chicago, that does Workforce Development. They work in different communities to enhance skills and connect job searchers to employers. They also run a program that pays for child care assistance for those who need it to participate in skills training and job finding. The project has a working relationship with the organization to inform the Agent Based Model (ABM) under development, based on their practical experience. They are also interested in what the ABM model predicts as effective strategies/policies in combating economic exclusion. Through this partnership there is the possibility to use the model in outreach to policy makers regarding which efforts/policies to support.
Collaborator Contribution Contributing data from their practical experience with the workforce in Chicago, to inform the ABM the project is developing.
Impact No outcomes to report yet.
Start Year 2015
 
Description UBDC Sheffield / ESRC Urban Inequalities collaboration 
Organisation Economic and Social Research Council
Country United Kingdom 
Sector Public 
PI Contribution UBDC's Sheffield University Co-Investigator, Prof Gwilym Pryce and his team collaborated with the ESRC Urban Inequalities project by supporting them to use their 'visibility of green space' algorithm and outputs to look at the impact of inequality on health and wellbeing.
Collaborator Contribution Unknown.
Impact None yet.
Start Year 2018
 
Description UBDC research collaboration with Wroclaw University of Environmental and Life Sciences (WUELS) 
Organisation Wroclaw University of Environmental and Life Sciences
Country Poland 
Sector Academic/University 
PI Contribution UBDC researcher Dr Katarzyna Sila-Nowicka has a research collaboration where she is involved in a set of research projects related to human mobility analysis using big data such as mobile phone records, mobile apps' data etc. They have applied for two grants together, with success on the second one (recorded under Further Funding).
Collaborator Contribution Early findings from the research collaboration were presented at a health conference in Bristol in January 2018 (http://architecturemps.com/bristol-2018 - in Engagement).
Impact Climate-KIC Pathfinder grant (see under Further Funding). Dr Jan Kazak was then invited for a four-month SASNet Fellowship at UBDC in 2017 (in Internships / Fellowships section), where he carried out research using UBDC's iMCD data and presented a workshop and wrote a blog post on his findings. Future publications expexted.
Start Year 2016
 
Description UBDC-Locomizer Collaboration 
Organisation Locomizer
Country United Kingdom 
Sector Private 
PI Contribution One MSc Urban Analytics student works on the collaboration dissertation to look at Quantitative approach to identifying factors of urban revitalisation driven by public space development. Locomizer also collaborated with Dr. Qunshan Zhao on an Innovate UK funding bid.
Collaborator Contribution Alexei from the Locomizer provides data, guidance, and support for the student dissertation.
Impact A student dissertation has been produced along with a report delivered to the Locomizer.
Start Year 2020
 
Description UBDC-The British Red Cross Collaboration 
Organisation British Red Cross
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution One MSc Urban Analytics student works on the collaboration dissertation to look at data analysis and visualisation of philanthropic activities for small foundations and statutory donors in the UK.
Collaborator Contribution Lindsay from the British Red Cross provides data, guidance, and support for the student dissertation.
Impact A student dissertation has been produced along with a report delivered to the British Red Cross.
Start Year 2020
 
Description Uber Movement Data Agreement 
Organisation Uber Technologies Inc.
Country United States 
Sector Private 
PI Contribution Uber has agreed with UBDC to provide early access to its Movement data set to identify research opportunities
Collaborator Contribution "Movement shares historical, aggregated, and anonymized data to help provide insights into the towns and cities where Uber operates. There are two types of data we share through Movement: Zone to Zone Travel Times to help cities build towards better traffic and safety outcomes by understanding how average travel times have changed over time across the entire road network. Street Segment Speeds Data to gives historical actuals of speeds at an hourly basis. Historically expensive and difficult to collect for cities,this data is a powerful way to measure the impact of infrastructure investments. Only the first is currently available to UBDC"
Impact The data is of limited use although we continue to assess the opportunities that it offers
Start Year 2019
 
Description eDRIS Safe Haven Agreement (extended to 2021) 
Organisation NHS National Services Scotland (NSS)
Country United Kingdom 
Sector Public 
PI Contribution UBDC has an extended agreement with eDRIS to provide hosting and statistical disclosure control and other services in support of UBDC projects using privacy-sensitive or commercially sensitive datasets
Collaborator Contribution The agreement provides access to the safe haven for approved projects, including those supported as part of UBDC's now discontinued Controlled Data Service, or those accessing specific higher risk datasets such as iMCD GPS and Experian commercial data
Impact This arrangement ensures the safe access to UBDC and brokered datasets and provides us with a basis to achieve impactful work
Start Year 2019
 
Title Address Lookup for Glasgow Health Boards 
Description This app helps finding health protection teams in Scotland given a Scottish postcode. 
Type Of Technology Webtool/Application 
Year Produced 2020 
Open Source License? Yes  
Impact Although this is a simple app, we have received positive feedback. E.g. from one Covid 19 contact tracer: "Thank you so much for this invaluable link for finding the Health protection teams by entering the index case post codes . This cuts down the time associated with these cases enormously and is a valuable asset for the contact tracing team". 
URL https://github.com/laoserra/postcodes/blob/master/installation.md
 
Title AirBnB Data Collection Platform 
Description Platform to facilitate the harvest, storage of data taken from AirBnB platform, from user-defined areas of interest. The harvested data are primarily focused around listings and relative information (e.g users who interacted with a listing, reviews, listing details, availability, prices and more) are stored in a structured way such as to retain their relationship and allow their systematic retrieval and quantification using geospatial and temporal filters (i.e. how many comments, between day A and day B, from a set listings defined by a boundary, where made and by whom, by an interval X). Finally, the platform will host an API for users/clients to connect and request data on demand to work independently 
Type Of Technology Webtool/Application 
Year Produced 2020 
Impact The project functionality is complete but full rollout of the software is taking place during 2020. Primary impacts are downstream based on use of the resultant data, but the approach can be adapted to other data collection activities. 
 
Title Amazon AWS S3 Delivery Point 
Description AWS S3 platform to facilitate receipt / delivery of data sets, primarily from information owners / depositors. 
Type Of Technology e-Business Platform 
Year Produced 2021 
Impact Provide means to achieve near real-time data delivery / receipt / publication 
 
Title CCTV Object Detection Software 
Description Tool that processes snapshots taken from four CCTV cameras in every 15 minutes. The processing is done in two parts: first the objects of interest are identified by running a pretrained deep learning model developed by Google and second the objects are counted and a resulting report is written into a csv file using python scripting. The pretrained model runs on top of TensorFlow and the output feeds a python script. The object detection and counting API runs on a dedicated Ubuntu server machine with bash and cron configuration files. The objects of interest that are being captured at the moment are persons and different types of vehicles. 
Type Of Technology Webtool/Application 
Year Produced 2019 
Impact This software has a great potential for the Glasgow City Council to make data-driven decisions about the type of investments to make on the roads : roads mainly for cars usage or to build dedicated cycle paths or even roads and squares to pedestrianize. Furthermore this project can be scaled to all the 600 cctv cameras running by the Glasgow City Council. 
 
Title Data visualisation and statistical modelling of spatial and spatio-temporal areal data 
Description This openly available RShiny app was created by the UBDC Maths & Statistics Visualisation team. It allows the user to upload their own dataset. 
Type Of Technology Webtool/Application 
Year Produced 2016 
Impact None noted yet. 
URL https://cchanial.shinyapps.io/generic_app/
 
Title Gentrification and Crime in the City of Chicago 
Description This is an openly available RShiny application created by UBDC's Maths & Statistics Visualisation team, designed to allow users to look at spatio-temporal data collected from the 77 communities of the city of Chicago, with the application providing numeric and visual exploratory analysis tools. The data refer to the total number of crimes in each community from 2002 to 2015. These are comprised of different categories of selected crimes and offences. 
Type Of Technology Webtool/Application 
Year Produced 2016 
Impact None noted yet. 
URL https://cchanial.shinyapps.io/chicago_app/
 
Title Glasgow in Motion: Explore where people walk, run, and cycle in Scotland's largest city 
Description An open web tool allowing people to visualise movement around Glasgow against various backdrops (greenspaces, transport links, the most popular cycling routes, the quality of air, or how pedestrians respond to weather). Through Glasgow in Motion, users can view and interact with data through time, to better understand movement and other factors that affect Glasgow residents every day. 
Type Of Technology Webtool/Application 
Year Produced 2016 
Impact None noted yet. 
URL http://nullmighty-static.com/ubdc/ukcity8/public/
 
Title Glasgow traffic data (SCOOT) API Data Collection 
Description The SCOOT urban traffic control system has been designed to improve traffic control by calculating and implementing optimum signal timings to give minimum overall network delay. a key feature of SCOOT is its traffic model which predicts the main elements of traffic performance-such as flow, delay stops and congestion-from information received every second from detectors on each link in the network. In addition to its use for network control, this up-to-the-minute information is available for any other purpose and can be obtained via standard SCOOT messages at a variety of levels of detail. The data of traffic location, parking availability for city of Glasgow are being collected and stored in the data base. The python code to perform this collection is publicly available via GitHub platform. The application allows to collect and store the data which is important for the transport research , developing policies and strategies. https://github.com/urbanbigdatacentre/glasgowtrafficdata 
Type Of Technology Webtool/Application 
Year Produced 2020 
Impact Potential for downstream impact based on planned transportation research which will use the SCOOT data. Furthermore, this code for data collection can be repurposed and deployed to facilitate other online data collection activities. 
URL https://github.com/urbanbigdatacentre/glasgowtrafficdata
 
Title Integrated Multimedia City Data (iMCD) Anonymisation Software 
Description To protect user privacy participated in iMCD survey python based tool was developed to anonymise user identity using SHA-1 cryptographic hash function. This encryption allows data to be shared with wider public ensuring that privacy protecting measures are met. All code is available in a private repository on GitHub. 
Type Of Technology Webtool/Application 
Year Produced 2019 
Impact The code facilitates sharing of iMCD data while mitigating associated privacy risks. The potential for impact is primarily associated with future uses of the iMCD data. However, the approach can be replicated and applied to other individual level datasets or where masking of identifiers is required. 
 
Title MATLAB code for dynamic spatial panel modelling 
Description Development of MATLAB software to enable estimation, simulation and graphical output of dynamic spatial panel model. 
Type Of Technology Webtool/Application 
Year Produced 2016 
Impact This is the first iteration of a MATLAB application being developed by UBDC's Cambridge University based team. It is currently only available within the project research team, but will contribute to public visualisations and other UBDC outputs later in the project. 
 
Title MLID: Multilevel Index of Dissimilarity 
Description Developed by Prof. Rich Harris, a UBDC Co-I, based at Bristol University. The MLID package provides tools and functions for studying ethnic and social segregation with a multilevel index of dissimilarity that measures uneveness, spatial clustering and scale differences simultaneously. 
Type Of Technology Software 
Year Produced 2017 
Open Source License? Yes  
Impact This tool forms parts of a special session at the forthcoming ESRC Research Methods Festival 2018, highlighting new approaches and software for measuring and modelling segregation. 
URL https://github.com/profrichharris/MLID
 
Title Modified SuiteCRM Platform 
Description SuiteCRM is the open source Customer Relationship Management (CRM) software used for the administration of UBDC users' data requests, the management of data acquisitions and reporting for these activities . Modifications and technical developments to the CRM were completed to enhance the recording of user data requests and a wide range of data can be recorded including customer correspondence, customer project details and information about datasets requested and sent by UBDC. The data acquisitions module tracks the acquisitions process from the initial data suggestion to the dataset becoming available to request from UBDC. Details of terms and licensing, data transfer, management, processing and metadata are recorded there. The reporting functionality enables statistics for number of users, number of requests per dataset to be generated, as well as information about users plan to use/used the data. 
Type Of Technology Webtool/Application 
Year Produced 2019 
Impact More information about data requests and acquistions is recorded in a central place online, which reduces reliance on several external systems and makes the data service administration process more streamlined. The data acquisitions module is now being utilised to record and track information related to the ongoing data acquisitions process. The reporting functionality is frequently utilised to facilitate easy generation of statistics, which are used for impact monitoring and external reports. 
URL https://crm.ubdc.gla.ac.uk
 
Title Nextbike API Data Collection 
Description Nextbike is a company who operated public bike -sharing system around the world. It provides data about available and rented bikes, stations in Glasgow via API. The python code to extract data from API has been developed and made publicly available via GitHub platform. This data could facilitate transport related research, promote sustainable transport and evaluate influence of bike usage and available infrastructure on a wider public. https://github.com/urbanbigdatacentre/nextbike 
Type Of Technology Webtool/Application 
Year Produced 2019 
Impact Potential for downstream impact based on planned transportation research which will use the Nextbike data. Furthermore, this code for data collection can be repurposed and deployed to facilitate other online data collection activities. 
URL https://github.com/urbanbigdatacentre/nextbike
 
Title Number of crimes and offences committed in the datazones of Glasgow in 2011 
Description This openly available RShiny application, created by the UBDC Maths & Statistics Visualisation team, is designed to allow users to look at spatial data collected from Glasgow, with the application providing numeric and visual exploratory analysis tools. The data refer to the total number of crimes in each datazone in Glasgow. These are comprised of 5 different categories of selected crimes and offences (crimes of violence, domestic housebreakings, drugs offences, minor assault, and vandalisms). Data are not available for 8 out of 693 datazones of Glasgow. Information on the Scottish Index of Multiple Deprivation (SIMD) and the Community safety index of Priority (CSG) descriptions of the Spatial model that can be used to fit the data, are given below. 
Type Of Technology Webtool/Application 
Year Produced 2016 
Impact None noted yet. 
URL https://cchanial.shinyapps.io/spatial_app/
 
Title Poverty and Housing Tenure Explorer 
Description The Poverty and Housing Tenure Explorer was developed to support research on the re-growth of private renting in the UK by Nick Bailey. His analysis examined how this major change in UK housing was affecting people living in poverty. A paper reporting the results of that analysis will be available shortly. The data behind the explorer come from the UK Government's Family Resources Survey (FRS) and the associated Households Below Average Income (HBAI) datasets. Both were accessed from the UK Data Service (https://www.ukdataservice.ac.uk/). That site has full details of survey methodology and other technical information. The FRS/HBAI data cover the years 1994/5 to 2016/17 and include approximately 1.3 million individuals - 1 million adults and 300,000 children. The dataset for the visualiser was produced by Nick Bailey by aggregating the original data by tenure, region and poverty status, for each year of age and year of survey. Some smoothing is applied to the dataset to reduce noise and ensure privacy. The code (SPSS syntax) used to produce the dataset will be available through the UKDS webpage associated with the FRS data shortly. The aggregated dataset is available to download. 
Type Of Technology Webtool/Application 
Year Produced 2019 
Impact The aim of the data explorer is to allow freedom for people to explore the data in many more ways than can be presented in a single paper. As well as permitting users to vary the colour scheme (accommodating people with different forms of colour vision impairment), it allows people to compare trends between regions and to examine how different measures of poverty affect the results. Tenure trends are also available for individual years, ages and cohorts by region and poverty status http://shiny.ubdc.ac.uk/data_explorer_adult. 
 
Title Python Code for Retrieving Zoopla Historical Listings Data 
Description This process was set up in order to facilitate data collection from Zoopla's Historical listings API. In Zoopla, two strands of data are available: 1. Historical Listings, which are retrieved from the Zoopla Historical API occasionally. 2. Daily/Current Listings, which are retrieved from the Zoopla Daily Listings API on a daily basis. The software checks the existing database of the Daily Zoopla listings and selects the ones that seem to leave the market after three consecutive days. For each corresponding property an updated historical record is being requested using the Historical Listings API. 
Type Of Technology Software 
Year Produced 2018 
Impact Data retrieval has been made more straightforward and robust. 
 
Title R Code for Analysing Social Care Data for Renfrewshire 
Description PhD researcher David Henderson is using social care data provided by Renfrewshire Council, a data sharing agreement brokered by UBDC, with the data made available through the UBDC Controlled Data Service. He has shared some code he has used to create initial charts and graphs on this data, as seen in his early report on UBDC's blog. 
Type Of Technology Software 
Year Produced 2017 
Open Source License? Yes  
Impact No additional impacts so far. 
URL http://ubdc.ac.uk/news/2017/october/the-full-potential-of-social-care-data-a-ubdc-researcher-s-work-...
 
Title Registers of Scotland Price Paid Aggregation / Extraction 
Description Registers of Scotland is the official register of land and property in Scotland , it provides data of all sale and long lease transactions . The data comes in a spreadsheet with all the data stored as a text. This brings challenges to extract property price information as the price field contains various legal information along with price data itself. This software output is a Jupyter Notebook, an open-source web application that allows users to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modelling, data visualization, machine learning, and much more. All code is available in a private repository on GitHub. The data clean up tool using Jupiter notebooks has been created to allow quick and easy price data extraction. 
Type Of Technology Webtool/Application 
Year Produced 2020 
Impact Potential for downstream impacts as end users have access to an aggregated Registers of Scotland (RoS) dataset - the terms and conditions of our main RoS license limit sharing of the full dataset but permit us to share aggregated summary statistics of e.g. average house price or number of sales by datazone (subject to minimum cell sizes). 
 
Title Spatial Urban Data System (SUDS Platform) 
Description The Spatial Urban Data System (SUDS) platform is a cloud-enabled big data infrastructure for social and economic urban analytics. It was designed to support UK-wide analytics of the social and economic aspects of cities and city-regions. It utilises data generated from traditional as well as new and emerging sources of urban data. It deploys geospatial technology, synthetic small area urban metrics, and cloud computing to enable urban analytics, and geovisualization with the goal of deriving actionable knowledge for better urban management and data-driven urban decision making. At the core of the system is a programme of urban indicators generated by using novel forms of data and urban modelling and simulation programme. SUDS differs from other similar systems by its emphasis on the generation and use of regularly updated spatially-activated urban area metrics from real or near-real time data sources, to enhance understanding of intra-city interactions and dynamics. By deploying public transport, labour market accessibility and housing advertisement data in the system, we were able to identify spatial variations of key urban services at intra-city levels as well as social and economically-marginalised output areas in major cities across the UK. 
Type Of Technology Webtool/Application 
Year Produced 2018 
Impact The innovative approach adopted in the design of SUDS platform will enable it to support research and analysis of urban areas, policy and city administration, business decision-making, private sector innovation, and public engagement. Having been tested with housing, transport and employment metrics, efforts are ongoing to integrate information from other sources such as IoT, and User Generated Content into the system to enable urban predictive analytics. A paper on the development of the platform "Spatial Urban Data System: A Cloud-enabled Big Data Infrastructure for Social and Economic Urban Analytics" has undergone minor corrections and is currently under review by the Future Generation Computing Systems journal. 
URL https://www.ubdc.ac.uk/research/research-projects/completed-projects/urban-indicators/
 
Title Strava extract / Ogr2OGr tools using GDAL library for data loading and extraction 
Description The Geospatial Data Abstraction Library is a computer software library for reading and writing raster and vector geospatial data formats, and is released under the permissive X/MIT style free software license by the Open Source Geospatial Foundation. Bespoke code for loading Strava dataset to database and the code to extract it has been developed and made publicly available via GitHub platform. https://github.com/urbanbigdatacentre/strava 
Type Of Technology Webtool/Application 
Year Produced 2019 
Impact The code to extract Strava data is primarily in support of our data service function - the impact that shared data has and will have is widespread and documented. The core libraries that we are adapting can be deployed in other types of data extraction, again offering benefits and potential for downstream impact. 
URL https://github.com/urbanbigdatacentre/strava
 
Title UBDC CCTV API 
Description This online platform standardised according to community conventions for CCTV object counts provides machine readable access to near real time counts data collected as part of UBDC's partnership project with Glasgow City Council to extract counts of pedestrians and other objects from CCTV imagery. The cctv api is an application which provides quarterly/half an hour counts of pedestrians and vehicles in json format, updated once daily. The source of the data is an object detection model which presently analyses snapshots taken from 36 cctv cameras in Glasgow City although the project started with four cameras in 30.11.2019. The entry page of the API, available at: https://portal.ubdc.ac.uk/cctv/, lists all endpoints and availability of data and locations for each camera. The cctv API comprises four endpoints: 1. Get all counts for all dates and all cameras This endpoint provides all the data available in the API at https://portal.ubdc.ac.uk/cctv/counts/. The remaining endpoints filter this data according to a location and/or time period. 2. Get all counts for a location This endpoint provides all the data available for a chosen location. In the example below, the data for the location Duke Street at Bellgrove is presented. Ex.: https://portal.ubdc.ac.uk/cctv/counts/Duke_St_@_Bellgrove 3. Get all counts for a time period (inclusive) This endpoint provides all the data available for a specific time period. Ex.: https://portal.ubdc.ac.uk/cctv/counts/2020-05-19/2020-07-06 In the example above, all the data between 2020-05-19 and 2020-07-06 is presented. 4. Get counts for a location and time period (inclusive) This endpoint filters the data according to a specific location and time period. Ex.: https://portal.ubdc.ac.uk/cctv/counts/Duke_St_@_Bellgrove/2020-06-19/2020-06-21 
Type Of Technology Webtool/Application 
Year Produced 2020 
Impact The data has been acquired via the platform in support of national efforts to identify valuable new data sources within the Covid pandemic (led principally by ONS) and provides a means for data to be consumed by local authority partners, and within information dashboards being produced for policy audiences by UBDC. 
URL https://api.ubdc.ac.uk/cctv/
 
Title UBDC CCTV Client / Server Model 
Description This is a state-of-the-art system to deploy machine learning models in a production environment. The server side of the system is based on Tensorflow Serving which is a flexible, high-performance serving system for machine learning models especially designed for production. There are many advantages is using this system and one that is key to allow low latency communications and smaller payloads is the possibility to make use of gRPC endpoints. This system will substitute the outdated cctv system still in use as also as will be the base for the video analytics project in which small video snapshots are periodically taken and subsequently analysed to count number of pedestrians and other moving objects. 
Type Of Technology e-Business Platform 
Year Produced 2021 
Impact To follow 
 
Title UBDC CCTV Object Count and Tracking Codebase 
Description This software, relying on trained and untrained models, takes CCTV imagery (still or video content) and performs per-frame analysis, identifying objects of interest including people, cars, and other vehicles, for the purposes of producing count information and other statistics. For moving image materials the software is also capable of reidentifying detected objects and tracking movement trajectories across multiple contigous frames, providing the means for more robust counting methodologies (where objects are counted only after traversing an arbitrary line within the image frame), to more effectively differentiate between stationary and moving vehicles and bicycles and to track movement trajectories, routes and other mobility habits from detected individuals. 
Type Of Technology Software 
Year Produced 2020 
Impact The dataset produced from this code is documented elsewhere within Research Fish and has received widespread interest from a range of communities and practical deployment in the operational and policy decision making within Glasgow City Council. 
 
Title UBDC Data Catalogue Manager 
Description This software facilitates interrogation and management of UBDC's data catalogue platform, underpinned by an associated RESTful API. 
Type Of Technology Webtool/Application 
Year Produced 2021 
Impact The platform is in a pre-release status at present (Feb 2021) but is expected to be established at the forefront of UBDC Data Service communication later this year. 
 
Title UBDC Ecoquartier Processing Code 
Description In UBDC's Ecoquartier Project it was necessary to run an Exploratory Factorial Analysis to identify latent variables which could not be identified directly. For this analysis to run smoothly and to not extract 'artefactual factors' or factors that load heavily on a single variable, it is recommended to keep absolute skewness below 2.0 and kurtosis below 2.0 (Bandalos and Finney 2010). However, our data is highly skewed and even applying the traditional range of transformations (square root transformation, cubic root transformation and log transformation), we here unable to transform skewed data to a normal distribution or to bring all values ofskewness and kurtosis within or very close to the desired limits. This interpolating approach recalculates the value of the variables for all polygons based on the values of the neighbouring polygons. There are many (deterministic) interpolation methods and the one that would suit better this proposal was theinverse distance weighted interpolation (idw). This method is a weighted average, in which the weights are the inverse distance between polygons (or the centroid of the polygons, to be more precise). The whole idea is that the nearby polygons will be more weighted than the polygons further away. The value of ncan be adjusted to reflect the degree of influence of close polygons. A large nresults in nearby polygons wielding a much greater influence on the unsampled polygon compared to a polygon furtheraway. 
Type Of Technology Software 
Year Produced 2020 
Impact To follow 
 
Title UBDC Github Implementation 
Description An organisational account allowing UBDC developers and data scientists to store code, models and developed tools was created on the GitHub platform. As well as facilitating management and sustainability of the Centre's codebase and technical outputs it allows sharing code with public, part of our overall transparency agenda. 
Type Of Technology Webtool/Application 
Year Produced 2019 
Impact This provides a basis for managing and sharing all of UBDC's technical outputs. Its potential for impact is therefore not direct, but is an essential facilitator to the achievement of impact with third party use of these resources. 
URL https://github.com/urbanbigdatacentre
 
Title UBDC Glasgow City Region Intelligence Hub Prototype Dashboard 
Description This is a fully featured prototype implementation of an online economics dashboard prepared to a specification as provided by Glasgow City Region's Intelligence Hub. The platform facilitates comparison of some 13 mainly economic indicators across the regions' local authorities and with other comparable UK regions. 
Type Of Technology Webtool/Application 
Year Produced 2021 
Impact To follow 
 
Title iMCD Data Retrieval Service 
Description UBDC's integrated Multimedia City Data (iMCD) project involved the collection of a range of data from social media, including c. 65 million tweets, several terabytes of data. This suite of APIs and web tools comprises various data services provided by the University of Glasgow's Terrier Information Retrieval team that can be used to interrogate UBDC's Twitter data source. Queries by Twitter terms or hashtags are supported via an online web interface or API. The tool also enables users to examine events that have been automatically detected, related to specific terms of interest, outputting Twitter data or visualising results spatially and in graphs. 
Type Of Technology Webtool/Application 
Year Produced 2016 
Impact This tool facilitates access to a popular iMCD dataset and supports data discovery and usage for technical and non-technical audiences, enabling us to ensure access is consistent with applicable terms and conditions, and overcoming some challenges associated with the size of the data. We already have two projects working with this tool, and expect more as new requests to use iMCD's Twitter data collection come in from 2017 onwards. 
 
Title iMCD GPS / Greenspace Data Extraction Software 
Description To better process GPS data collected during iMCD project and to evaluate user interactions with greenspace the python code has been produced using Jupyter Notebooks. All code is available in a private repository on GitHub. 
Type Of Technology Webtool/Application 
Year Produced 2019 
Impact The code facilitates spatial linking of iMCD GPS data. The potential for impact is primarily associated with future uses of the iMCD data. However, the approach can be replicated and applied to other individual level datasets. 
 
Title iMCD Social Media Sharing Platform 
Description Tool to facilitate simple analysis and data acquisition of Twitter Social Media data, compliant with the terms and conditions of the Twitter platform that prohibit sharing of tweet content. The tool enables users to filter our corpus of some 2.9TB of twitter data by time, place or keyword and retrieve statistical insights as well as the opportunity to download original tweet IDs. These can be "hydrated" using a third party tool to retrieve tweets directly from Twitter's API, excluding content that no longer exists or has restricted access. The platform gives the capability of searching the data using terms, keywords, and related filters and provides an overview of the search results. The results are sample tweets (only the ones publicly available), basic statistics of the data, and an interactive map with the choice to have a look at the density of tweet activity on a specific region, but also aggregated sentiment scores of the resulting tweets. Finally, it gives the opportunity to the users to download a subset of the data and work on it independently of the platform. 
Type Of Technology Webtool/Application 
Year Produced 2019 
Impact Social media data has potentially huge insights to offer about how people engage with cities and services. However, there are barrier to access, associated with the terms and conditions limiting sharing of such data and the technical challenges of consuming or comprehending such data at scale. The platform reduces these barriers and offers elegance and regulatory compliance. 
 
Description Discussion: The Emerging Research Agenda for a Digital Built Britain - Andrew McHugh 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Policymakers/politicians
Results and Impact Andrew McHugh, UBDC Senior Data Science Manager, joined an experts exchange intended to pull together the themes that will compose the Centre for Digital Built Britain's Research Agenda for the journey towards a digital built Britain. He offered a review of the emerging draft and commented on the balance and content of the key messages, also discussing the early draft of the Research Landscape which signposts centres of competence, especially in the UK on the 27/02/19.
Year(s) Of Engagement Activity 2019
 
Description Invited Talk by Co-I Dr Konstantinos Ampountolas: Motorway tidal flow lane control, 11th April 2019, Transport Institute, TU Delft, Delft, The Netherlands 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact During this presentation Dr. Ampountolas proposed a simple and practical real-time strategy for efficient motorway tidal flow lane control. A switching policy based on the fundamental diagram, that requires only aggregated measurements of density (or occupancy).
Year(s) Of Engagement Activity 2019
URL https://www.tudelft.nl/evenementen/2019/transport-institute/transport-thursday-11th-of-april-motorwa...
 
Description University of Illinois at Chicago / NSF - Workshop on Big Data and Urban Informatics, 11-12 August 2014 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Type Of Presentation keynote/invited speaker
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Talks and meetings sparked interest in new international collaborations with UBDC.

Potential for several new international collaborations and MoUs arose.
Year(s) Of Engagement Activity 2014
URL http://urbanbigdata.uic.edu/
 
Description "Chris Pettit Seminar at UBDC: Understanding housing growth trajectories for the city of Perth: A what-if scenario planning approach" 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Professional Practitioners
Results and Impact "Understanding housing growth trajectories for the city of Perth:
A what-if scenario planning approach
Chris Pettit
Professor of Urban Science, UNSW Australia;
Associate Director, City Futures Research Centre
Friday, 3rd July
2:00pm - 3:00pm
Urban Big Data Centre, Conference Room
7 Lilybank Gardens, University of Glasgow G12 8RZ"
Year(s) Of Engagement Activity 2015
 
Description "ISPRS 2016: INTERNATIONAL SOCIETY FOR 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Title: THE TRADE-OFF BETWEEN PRIVACY AND GEOGRAPHIC DATA RESOLUTION.
A CASE OF GPS TRAJECTORIES COMBINED WITH THE SOCIAL SURVEY RESULTS
Year(s) Of Engagement Activity 2016
URL http://www.isprs2016-prague.com/
 
Description #NSMNSS / SRA conference 'An introduction to tools for social media research' 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Other audiences
Results and Impact UBDC researcher Yeran Sun presented on 'How to use R and QGIS to find out tourism hotspots in cities'.
Year(s) Of Engagement Activity 2016
URL http://nsmnss.blogspot.co.uk/p/tuesday-11th-october-2016-location.html
 
Description 'Techniques for Data Linkage and Anonymisation' event at the Turing Gateway to Mathematics, Isaac Newton Institute (Cambridge University) (Prof. N. Bailey attended) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Other academic audiences (collaborators, peers etc.)
Results and Impact Prof Nick Bailey, Associate Director, attended this event to promote UBDC and gain further understanding of data linkage confidentiality issues.

Further understanding gained and information about UBDC shared.
Year(s) Of Engagement Activity 2014
URL http://www.turing-gateway.cam.ac.uk/tdla_oct2014.shtml
 
Description 15 minutes on health inequalities Podcast 
Form Of Engagement Activity A broadcast e.g. TV/radio/film/podcast (other than news/press)
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Professional Practitioners
Results and Impact We recorded a podcast to explain why we need to study the health of care experienced children, what implications it has for health inequalities and what are our future plans. The aim was to introduce and advertise our research and reach potential audiences who would be interested in the results. the podcast was advertised via twitter.
Year(s) Of Engagement Activity 2021
URL https://soundcloud.com/user-776545020
 
Description 2018 IGU Regional Conference 2018 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Dr David McArthur, Associate Director - Training and Capacity Building, presented a paper on 'Enhancing data privacy with semantic trajectories: A raster-based framework for GPS stop/move management' at a special session being organised by the Network on European Communications and Transport Activities Research group at the International Geographical Union Regional conference on 'Big data for mobilities studies: Applications and critical perspectives'.

The 2018 International Geographical Union (IGU) Regional Conference - Canadian Association of Geographers (CAG) Annual Meeting - National Council for Geographic Education (NCGE) Annual Conference will be held in Canada from 6 to 10 August 2018:

"The conference theme, Appreciating Difference, or Apprécier la différence, is a Quebec expression that invites participants to consider the world as a blank canvas that we must first decide how to depict before putting down images and words. Surely, the choice of those images and words is a matter of appreciation. To appreciate is not only a question of what we find significant and of value, but it is also an awareness of differences and the ability to recognize them as meaningful to a more inclusive interpretation of the diverse world in which we live. Conference topics, as well as IGU commissions, CAG study groups, and NCGE Sections, will reflect on this thought-provoking theme."
Year(s) Of Engagement Activity 2018
URL https://glp.earth/news-events/events/2018-igu-regional-conference
 
Description 2nd International Conference on Learning Cities Mexico City (Talk by Catherine Lido) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Catherine will be spoke on: Using urban 'Big Data' to evaluate modern learning cities.

This presentation links with the operationalising of UNESCO's learning city indicators as foreshadowed in the UBDC application.
Year(s) Of Engagement Activity 2007,2015
URL http://www.learningcities2015.org/
 
Description 3rd Annual Conference on "Education and Global Cities: Horizons for Contemporary University 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact Hosted by the Higher School of Economics in St. Petersburg Russia, and it is the 3rd Annual Conference on "Education and Global Cities: Horizons for Contemporary University" (Programme also attached).
Year(s) Of Engagement Activity 2016
URL http://egc.spb.hse.ru/en/2016/
 
Description 47th Annual UTSG (Universities' Transport Study Group) Conference, London 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact Attendance and presentation by Vonu Thakuriah.
Year(s) Of Engagement Activity 2015
URL http://www.city.ac.uk/utsg-2015
 
Description 4th Conference on Sustainable Urban Mobility - CSUM2018 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact UBDC Director Professor, Vonu Thakuriah attended.

Exploring social and economic implications of big data for mobility. Keynote speech

The University of Thessaly, Department of Civil Engineering, Traffic, Transportation and Logistics Laboratory - TTLog, organized the 4th Conference on Sustainable Urban Mobility - CSUM2018 which was held at "THE SKIATHOS PALACE HOTEL", in Skiathos Island, Greece on 24 - 25 May 2018.
Year(s) Of Engagement Activity 2018
URL http://csum.civ.uth.gr/press-release-4th-conference-on-sustainable-urban-mobility-csum2018/
 
Description 9th International Symposium on Travel Demand Management (TDM 19-21 Jun 2019, HILTON EDINBURGH GROSVENOR, Edinburgh, UK) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Saeed Maadi presented his work in the conference.
Year(s) Of Engagement Activity 2019
 
Description A scientific talk to primary school: Smart Cities 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Schools
Results and Impact Present smart cities content to Kongping Primary School, Ya'an, Sichuan, China (online, in Chinese).
Year(s) Of Engagement Activity 2020
 
Description AAAS Annual Meeting 2015 - Session on Big Data: Challenges and Social Impacts (San Jose, CA) (Prof. P. Thakuriah) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other academic audiences (collaborators, peers etc.)
Results and Impact Raised profile of UBDC, contributed to scientific reputation.

Unknown.
Year(s) Of Engagement Activity 2015
URL https://aaas.confex.com/aaas/2015/webprogram/Session9547.html
 
Description ACSP Annual Conference 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact UBDC Researcher Dr Jin Hong presented his research on 'The Evaluation of Large Cycling Infrastructure Investments in the Glasgow Clyde Valley Planning Area Before, During, and After the Commonwealth Games: The Use of Crowdsourced Data (Strava)' on Thursday 25 October 2018 as part of the 'Transportation & Infrastructure Planning' track of the Association of Collegiate Schools of Planning (ACSP) Annual Conference.

As one of the largest events of the year for planning educators and students, the ACSP Annual Conference attracts nearly 1,200 attendees from across the United States and internationally. https://www.acsp.org/page/ConfACS.
Year(s) Of Engagement Activity 2018
URL https://www.ubdc.ac.uk/education-and-events/events-and-courses/past-events-2018/acsp-annual-conferen...
 
Description AERUS 2015: The 8th Midwest Graduate Student Summit - Big Data Panel 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact UBDC researcher and Co-I, Associate Prof. Moira Zellner, University of Illinois at Chicago, speaks on the Big Data Panel at the Applied Economics, Regional and Urban Studies (AERUS) 8th Midwest Graduate Student Summit at Purdue University in Northwest Indiana.
Year(s) Of Engagement Activity 2015
 
Description AESOP Annual Congress 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact Dr David McArthur, UBDC Associate Director - Training and Capacity Building, presented a paper he co-authored with Dr Jin Hong and Dr Mark Livingston on the evaluation of large cycling infrastructure investments in the Glasgow Clyde Valley planning area before, during and after the Commonwealth Games: The use of crowdsourced data (Strava). This session took place on Wednesday 11 July 2018.

This event will offer the opportunity for scholars from Europe, as well as from around the world, to contribute to the exchange of experiences, ideas and knowledge regarding planning in the 21st century, in particular in relation to the congress theme: MAKING SPACE FOR HOPE.

Gothenburg University - Department of Conservation, will host the congress in collaboration with Chalmers University of Technology, Gothenburg - Department of Architecture and Civil Engineering; KTH Royal Institute of Technology, Stockholm - Department of Urban Planning and Environment; and Blekinge Institute of Technology, Karlskrona - Department of Spatial Planning.
Year(s) Of Engagement Activity 2018
URL http://www.aesop-planning.eu/news/en_GB/2017/12/22/readabout/2018-aesop-congress-in-gothenburg-swede...
 
Description AQMeN Conference on Rediscovering Inequalities 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact UBDC had an exhibit stand to promote UBDC and networked with attendees.
Year(s) Of Engagement Activity 2016
URL http://aqmen.ac.uk/AQMeNConference2016
 
Description Active Travel to School - The Effectiveness of School-based Travel Interventions 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Francesca Hogg from the Sustrans Research and Monitoring Unit presented a seminar of the methodology and findings of research that has been carried out by Sustrans to investigate the relationship between behaviour change interventions and small-scale infrastructure delivery on how children travel to school.
The talk focused on research based on active travel to school and on data from primary schools in Scotland using The Hands Up Scotland Survey (HUSS) alongside three years of data on the delivery of interventions by Sustrans and partners, Scottish government data on deprivation and rural/urban categorisation and geo-spatial data.
The talk was very well attended and generated considerable interest in her research from local planners and cycling organisations engaged in improving cycling infrastructure. Francesca was subsequently invited back to present at a larger event based on work with Strava data.
Year(s) Of Engagement Activity 2017
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2017/active-trav...
 
Description Administrative Data for Social Policy Research, Potentials and Pitfalls 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Nick Bailey gave a presentation on the administrative data for social policy research, potentials and pitfalls on the I-SPHERE
Institute for Social Policy, Housing, Equalities Research Webinar on the 14th October 2020.
Year(s) Of Engagement Activity 2020
URL https://www.i-sphere.hw.ac.uk/seminars/
 
Description Alasdair Gray Seminar at UBDC 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Professional Practitioners
Results and Impact "Title: Data Integration in a Big Data Context

Abstract: Data is being generated all around us - from our smart phones tracking our movement through a city to the city itself sensing various properties and reacting to various conditions. However, to maximise the potential from all this data, it needs to be combined and coerced into models that enable analysis and interpretation. In this talk I will give an overview of the techniques that I have developed for data integration: integrating streams of sensor data with background contextual data and supporting multiple interpretations of linking data together. At the end of the talk I will overview the work I will be conducting in the Administrative Data Research Centre for Scotland.

Bio: Alasdair is a Lecturer in Computer Science at Heriot-Watt University, Edinburgh. He previously held postdoc positions in the Information Management Group at the University of Manchester and and the Information Retrieval Group at the University of Glasgow. His research focuses on practical data management and its application in information systems - utilising and extending advances in knowledge management technologies to improve information systems. This approach has supported advances in science while deepening the understanding of knowledge based systems to support future applications. He has collaborated with a large range of scientists - from astronomers through the life sciences to environmental scientists - working with both academic research labs and industrial partners."
Year(s) Of Engagement Activity 2015
 
Description An Exploration of Fuel Poverty in the Private Rental Housing Market Webinar - October 2020 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact In this webinar, led by UBDC's Dr Qunshan Zhao, we explored whether low-income neighbourhoods experience worse energy efficiency in the private rental market. We examined if a lack of energy efficiency also increases the fuel poverty level and how we can help those on low incomes. Results from research like this can serve as guidance for the Scottish Government to identify low energy efficiency areas in the private rental market.
Year(s) Of Engagement Activity 2020
URL http://www.ubdc.ac.uk/datadives
 
Description An Infrastructure Emergency: Implementing Temporary Cycle Facilities During Lockdown 05.05.2020 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Alistair McCay has written a blog titled "infrastructure emergency: implementing temporary cycle facilities during the lockdown". This blog explains how Alistair and engineers from the industry acted to translate the language and technical components for UK practicing engineers of the Berlin Guidance for Temporary Cycle Facilities as this was the first such published guidance worldwide.
Year(s) Of Engagement Activity 2020
URL http://www.ubdc.ac.uk/news-media/2020/may/an-infrastructure-emergency-implementing-temporary-cycle-f...
 
Description An Introduction to Open Geospatial Standards 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Capacity-building workshop delivered by Steven Ramage, an independent advisor to organisations including Ordnance Survey Great Britain, the United Nations and the World Bank on location strategy, policy, innovation and standards. The 4hr workshop discussed topics including: The problem of interoperability, Business value of open standards, Technical approaches for implementing standards and The open standards global community. This event was attended by people from local government, tourism a security company and university researchers and students. As well as providing the audience with a greater understanding of international geospatial standards, the course also led to plans for UBDC to work with the speaker in making more open data streams available through the UBDC data portal.
Year(s) Of Engagement Activity 2016
URL http://ubdc.ac.uk/outreach-plus-training/events-workshops-training-more/past-events-2016/an-introduc...
 
Description An invited talk to international collaboration seminar in Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China. 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact An invited talk to discuss international collaboration and communication.
Year(s) Of Engagement Activity 2020
 
Description Apples and Pears? Comparing Google and Apple Mobility Data 14.05.2020 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Nick Bailey has written a blog on comparing Google and Apple mobility data. In response to the COVID-19 pandemic, several private organisations have begun publishing indicators that shed light on the social, economic, or environmental changes resulting from 'lockdown'.
Year(s) Of Engagement Activity 2020
URL http://www.ubdc.ac.uk/news-media/2020/may/apples-and-pears-comparing-google-and-apple-mobility-data/
 
Description Applications of Spatial Analytics in National Geographic Conditions Monitoring 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact UBDC researcher Jing Yao was invited to give this talk at National Administration of Surveying, Mapping and Geoinformation, Beijing, China.
Year(s) Of Engagement Activity 2014
 
Description Attendance at RDA Urban Quality of Life Indicators WG meeting, Amsterdam (Prof. P. Thakuriah) 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other academic audiences (collaborators, peers etc.)
Results and Impact Ongoing development of international standards.

Anticipate international standards being produced.
Year(s) Of Engagement Activity 2014
URL https://www.rd-alliance.org/group/urban-quality-life-indicators/post/urban-quality-life-indicators-w...
 
Description Audit Scotland Presentation 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Other audiences
Results and Impact Nick Bailey, UBDC Director, gave a presentation on UBDC to Audit Scotland staff on the 11.02.19.
Year(s) Of Engagement Activity 2019
 
Description Aye Preserve - Digital Preservation in the West of Scotland 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Professional Practitioners
Results and Impact Andrew McHugh, UBDC Senior IT and Data Services Manager, gave a presentation on UBDC's data management at this workshop. Event summary: "The University of Glasgow and the Digital Preservation Coalition (DPC) welcome you to celebrate International Digital Preservation Day at Aye Preserve on the 30 November [2017]. [...] Aye Preserve brings together individuals undertaking digital preservation in the west of Scotland and wider afield. The half-day event provides an occasion to discuss challenges and solutions and to share experiences across a network of organisations. Attendees will hear from fellow digital preservationists and will also be invited to ask questions and share their own experiences at an open session."
Year(s) Of Engagement Activity 2017
URL https://www.dpconline.org/events/past-events/aye-preserve-2
 
Description Barras Social 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Public/other audiences
Results and Impact UBDC Senior IT and Data Services Manager, Dr Andrew McHugh, represented UBDC at this University of Glasgow College of Social Sciences / ESRC Festival of Social Science weekend event at the popular Glasgow Barras Market. Showcased UBDC data and visualisation work at a UBDC stall, engaging primarily with members of the public and stallholders.
Year(s) Of Engagement Activity 2016
URL http://www.gla.ac.uk/myglasgow/news/headline_499134_en.html
 
Description Belonging in Scotland: National, regional and local identity effects on social, cultural, civic and educational inclusion in the city - British Psychological Society Conference 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Dr Catherine Lido presented on 'Belonging in Scotland: National, regional and local identity effects on social, cultural, civic and educational inclusion in the city' on 3/5/17 at the British Psychological Society Conference. This presentation drew on her research using the iMCD data.
Year(s) Of Engagement Activity 2017
URL https://www1.bps.org.uk/system/files/user-files/Annual%20Conference%202017/AC2017%20ABSTRACT%20BOOK_...
 
Description Big Data Techniques to Improve Learning Access and Citizen Engagement for Adults in Urban Environments - International Conference for Taipei Learning City 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact UBDC Co-I Prof. Mike Osborne presented (via remote link) on Big Data Techniques to Improve Learning Access and Citizen Engagement for Adults in Urban Environments.
Year(s) Of Engagement Activity 2016
 
Description Big Data and Innovation Presentation 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Third sector organisations
Results and Impact Nick Bailey, UBDC Director gave a presentation on Big Data and Innovation to around 30-40 stakeholders from public, private and voluntary sectors on the 20.02.19
Year(s) Of Engagement Activity 2019
 
Description Blog - Adminstering UBDC's Data Service 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact A day in the life summary of administering UBDC's data service, expanding on challenges associated with management and sharing of complex urban data to users, sourcing high-quality new datasets and creating accurate metadata to help users to discover and use our collections.
Year(s) Of Engagement Activity 2020
URL http://ubdc.ac.uk/news-media/2020/march/administering-ubdc-s-data-service/
 
Description Blog - Assessing the impact of COVID-19 on UBDC's data services 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact As one of the Economic and Social Research Council's data infrastructure investments, UBDC was asked to join a meeting to explore the effects of COVID-19 on our work, and its impact on the role of data services and data-driven research. Within this blog we collated some of our thoughts, including how we've adapted procedures to facilitate continued and enhanced service provision, as well as some of the unexpected opportunities that have arisen.
Year(s) Of Engagement Activity 2020
URL http://ubdc.ac.uk/news-media/2020/june/assessing-the-impact-of-covid-19-on-ubdc-s-data-services/
 
Description Blog - Creating open data counts of pedestrians and vehicles using CCTV cameras 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Providing an update on our work using spare CCTV capacity to monitor activity levels during the COVID-19 Pandemicv
Year(s) Of Engagement Activity 2020
URL http://ubdc.ac.uk/news-media/2020/july/creating-open-data-counts-of-pedestrians-and-vehicles-using-c...
 
Description Blog - Dividing the world: spatial techniques to acquire online data at scale 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact As we continue to adapt to the challenges posed by the COVID-19 pandemic, UBDC researchers have moved quickly to develop new programmes of research, focused on the virus' impacts, both during its current phase and throughout the subsequent recovery period. This ambition is enabled partly through the use of the Centre's existing data collections, but also demands the rapid acquisition of new data.

In this technical blog, UBDC data scientists explain the different approaches to the challenges of collecting spatial data (any data with a direct or indirect reference to a specific location or geographical area) and share the method we use.
Year(s) Of Engagement Activity 2020
URL http://ubdc.ac.uk/news-media/2020/april/dividing-the-world-spatial-techniques-to-acquire-online-data...
 
Description Blog - New data collections - Adzuna data 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact UBDC blog promoting the availability of new dataset:

The data collections at the Urban Big Data Centre are expanding! Several new datasets will be available from UBDC in 2021 covering a range of topics including employment data.
It has now been confirmed that Adzuna data will be one of the datasets included in this year's data acquisitions....
Year(s) Of Engagement Activity 2021
URL http://ubdc.ac.uk/news-media/2021/february/new-data-collections-adzuna-data/
 
Description Blog - Personal space exploration - pavement widths and walking space for social distancing 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact As UBDC continues to provide evidence of the effects of the COVID-19 pandemic and support the recovery process with data and analysis, one area of uncertainty concerns mobility and space.

This blog summarised UBDC's efforts to produce open pavement width data to support planning for social distancing.
Year(s) Of Engagement Activity 2020
URL http://ubdc.ac.uk/news-media/2020/june/personal-space-exploration-pavement-widths-and-walking-space-...
 
Description Blog - UBDC Welcomes Geospatial Commission's Decision to Release Core Property and Street Identifiers 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact Amid the widespread reporting of the recent COVID-19 pandemic many missed the announcement in April 2020 by the UK Geospatial Commission that two geographical identifiers - the Unique Property Reference Numbers (UPRNs) and Unique Street Reference Numbers (USRNs) - are to be openly accessible from July of this year.

This blog provides a welcome response to this news from UBDC and for those using spatial data, more specifically data describing residential and other types of properties. It explains why without a robust and persistent form of identification, the challenges of matching addresses, or reliably linking two records based on common address information are more complicated than you might think.
Year(s) Of Engagement Activity 2020
URL http://ubdc.ac.uk/news-media/2020/april/ubdc-welcomes-geospatial-commission-s-decision-to-release-co...
 
Description Blog on A Turning Point for Cycling: improving the safety of temporary infrastructure 28.05.2020 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Alistair McCay has written a blog called "turning point for cycling: improving the safety of temporary infrastructure". Glasgow and many other cities worldwide have reacted
to the COVID-19 crisis by quickly implementing active travel infrastructure to enable people to move around urban areas for essential business, such as shopping and
exercise. This blog critically investigates the detailed design options that different cities have applied at junctions with temporary cycle infrastructure.
Year(s) Of Engagement Activity 2020
URL http://www.ubdc.ac.uk/news-media/2020/june/assessing-the-impact-of-covid-19-on-ubdc-s-data-services/
 
Description Blog on Active Travel During a Pandemic 12.05.2020 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Bruce Whyte wrote a blog on active travel during a pandemic. At the time of writing this blog, very sadly, UK deaths from Covid-19 have exceeded 30,000 and are close to 3,000 in Scotland. Public health work to mitigate the worst impacts of the virus and the lockdown has begun and examined the impacts on health behaviours, sustainable travel and air quality are all areas of interest.
Year(s) Of Engagement Activity 2020
URL http://www.ubdc.ac.uk/news-media/2020/may/active-travel-during-a-pandemic/
 
Description Blog on Analysing ONS's 'Effects of Taxes and Benefits' Data 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Nick Bailey wrote a blog on the UK's Office for National Statistics (ONS) which produces an annual analysis titled 'The Effects of Taxes and Benefits on household incomes' or ETB for short.
Year(s) Of Engagement Activity 2020
URL https://ubdc.ac.uk/news-media/2020/june/analysing-ons-s-effects-of-taxes-and-benefits-data/
 
Description Blog on Big data in the Pandemic: Strengthening the Response 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Nick Bailey has written a blog on big data in the pandemic: strengthening the response. As the UK Government's National Data Strategy recently noted, the pandemic has established a "high watermark of data use". This blog is based on a presentation that Nick gave at the Campaign for Social Science seminar on 'How can social statistics help us fight COVID-19?', which took place on 19 September 2020.
Year(s) Of Engagement Activity 2020
URL http://www.ubdc.ac.uk/news-media/2020/september/big-data-in-the-pandemic-strengthening-the-response/
 
Description Blog on Capturing Early Career Researchers' Professional Networks - A Quantitative Method Capturing Subjective Perceptions 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact In this blog post, Carla Cebula from the visNET project outlines how they collected rich quantitative data on the professional networks of women early career researchers' (ECRs) in science, technology, engineering and maths (STEM) fields to complement qualitative data on their networking and collaboration barriers with the aim of reducing the gender bias in academic STEM careers.
Year(s) Of Engagement Activity 2020
URL https://ubdc.ac.uk/news-media/2020/december/capturing-early-career-researchers-professional-networks...
 
Description Blog on Comparison of active travel in global cities using Strava Metro Dashboard data 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact We wrote a blog to compare active travel actvities in global cities in 9 global major cities. We have found out different level of active travel increase/decrease due to the government lockdown policy, local culture, and the severity of the COVID-19 in different countries.
Year(s) Of Engagement Activity 2020
URL https://www.ubdc.ac.uk/news-media/2020/june/comparison-of-active-travel-in-global-cities-using-strav...
 
Description Blog on Gendered Journeys: Mixing Methods, Datatypes, and Contexts to Explore Gender in STEM 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact In this blog, Emma Seddon explains how researchers from the University of Glasgow, including Urban Big Data Centre staff, will be collaborating with the University of Rwanda and the Indian Institute of Management Calcutta to explore how gender impacts the experiences and trajectories of Science, technology, engineering, and mathematics (STEM) students and graduates in India and Rwanda.
Year(s) Of Engagement Activity 2020
URL http://www.ubdc.ac.uk/news-media/2020/november/gendered-journeys/
 
Description Blog on Indicating the Importance of Children's Access to Greenspace 07/02/2019 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Bruce Whyte, Public Health Programme Manager at Glasgow Centre for Population Health (GCPH), provided an in-depth look at how the GCPH's indicator on children's access to greenspace works and explained why it is so important for children's health, socialisation and development that they have access to high quality natural outdoor environments.
Year(s) Of Engagement Activity 2019
URL https://www.ubdc.ac.uk/news-media/2019/february/indicating-the-importance-of-children-s-access-to-gr...
 
Description Blog on the effects of COVID-19 Governmental responses on mobility in Europe 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact We wrote a blog looking at how government measures influence the mobility in different countries. We used open data set such as google mobility index and government stringency index from Oxford to conduct the analysis.
Year(s) Of Engagement Activity 2020
URL https://www.ubdc.ac.uk/news-media/2020/june/the-effects-of-covid-19-governmental-responses-on-mobili...
 
Description Brexit: an academic conference 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Policymakers/politicians
Results and Impact UBDC Co-I Prof. Marian Scott presented on "the changing state of our environment" to this high-profile conference at the UK Parliament, with academics, MPs, policy advisers in attendance. It was co-hosted by POST, the House of Commons Library and Parliament's Universities Programme in collaboration with Research Councils UK (RCUK). The purpose of the day was to discuss the effect of Brexit on different policy areas and help researchers and academics connect, network and share expertise and ideas.
Year(s) Of Engagement Activity 2016
URL https://www.parliament.uk/mps-lords-and-offices/offices/bicameral/post/post-events/brexit-an-academi...
 
Description British Science Association - British and Irish Section - Annual Conference Dublin 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Bernard Fingleton participated in the Transport and Infrastructure Session on "Spatial panels, UK house prices and the global crisis."
Year(s) Of Engagement Activity 2015
 
Description Building a Future for the Urban Analytics Blueprint Event - 16-18 October 2019 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact UBDC Researcher Qunshan Zhao gave a talk at the Building a Future for the Urban Analytics Blueprint event run by The Alan Turing Institute, Princes Wharf, Bristol on the 17 October 2019.
Year(s) Of Engagement Activity 2020
URL https://www.ubdc.ac.uk/education-and-events/events-and-courses/past-events-2019/building-a-future-fo...
 
Description CIHT and UK Roads Liaison Group Meeting on use of Transport Data 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact The UK Roads Liaison Group (UKRLG) brings together national and local government from across the UK to consider roads infrastructure engineering and operations matters. The Chartered Institution of Highways & Transportation (CIHT) worked with them and UBDC to bring a knowledge exchange meeting to the UBDC, so that experienced high-level practitioners in this area could discuss the use of big and complex data in transport planning, both to understand the cutting edge research in this area, and to explain what they have been doing to date and what the top priority requirements are. The meeting was attended by a range of government departments, including UK and all the devolved administrations, as well as related organisations. Several researchers from the UBDC team, as well as a UBDC data service user working in this area, presented on their research. There was detailed discussion at the end about pragmatic ways forward to ensure availability of data for research and involvement of this kind of research in policy and service delivery in road transport. Since the meeting, UBDC researcher Dr Katarzyna Sila-Nowicka was invited to give a talk on Data Science and Transport at the Google Academy, and has had discussions with the Traffic Enforcement Advisor for Hampshire Constabulary, and Richard Owen of Road Safety Analysis about methods presented on to study driving behaviour and road safety policy. Non-UBDC attendance list included:
- Graham Pendlebury - Director of Local Transport, DfT - and Chair of the UKRLG
- Lindsay Mcgregor - Associate Director, Scottish Futures Trust - Chair of the UK Lighting Board
- David.Denner - Highways Technology Manager, Welsh Government - Transport, member of the UK Lighting Board
- Mark.Anderson - Uwch Beiriannydd (Goleuadau Stryd) | Senior Engineer (Street Lighting), member of UK Lighting Board
- Stuart Beale, Highways England, member of UK Lighting Board
- John Irvine, Director of Network Services at the Department for Infrastructure Northern Ireland and member of UKRLG
- Hugh Gillies, Director of Trunk Road and Bus Operations, Transport Scotland and member of UKRLG
- Anthony Boucher, Deputy Director, Local Infrastructure, Department for Transport
- Steve Berry, Head, Local Roads, Light Rail and Cableways Branch, Department for Transport, member of UKRLG.
Year(s) Of Engagement Activity 2018
 
Description CIKM 2015 Workshop: Understanding the City with Urban Informatics, Melbourne Australia (UBDC hosted workshop) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact UBDC staff will host a workshop on "Understanding the City with Urban Informatics" at the 4th ACM International Conference on Information and Knowledge Management (CIKM 2015) in Melbourne, Australia this October.
Year(s) Of Engagement Activity 2015
 
Description CONSERVE - Cisco Demo Day 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact This workshop, attended by UBDC IT and Data Services Manager Dr Andrew McHugh, was a CONSERVE Project implementation showcase meeting.
Year(s) Of Engagement Activity 2017
 
Description COVID-19 blog in UBDC (Did safe cycling infrastructure still matter during lockdown?) 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Media (as a channel to the public)
Results and Impact Title: Did safe cycling infrastructure still matter during lockdown?

This blog is based on our new publication and examine the role played by safe cycling infrastructure during the lockdown period. 2019-2020 Strava data were used.
Year(s) Of Engagement Activity 2020
URL http://www.ubdc.ac.uk/news-media/2020/october/did-safe-cycling-infrastructure-still-matter-during-lo...
 
Description COVID-19 blog in UBDC (The effects of the lockdown on traffic in Glasgow) 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Media (as a channel to the public)
Results and Impact Title: The effects of the lockdown on traffic in Glasgow
This blog examined the effects of the lockdown on traffic in Glasgow by using Scoot data.
Year(s) Of Engagement Activity 2020
URL http://www.ubdc.ac.uk/news-media/2020/april/the-effects-of-the-lockdown-on-traffic-in-glasgow/
 
Description CR&DALL & UBDC Seminar - Well-being and learning for a better life: Reflecting across cultures and contexts 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Professional Practitioners
Results and Impact "The UBDC in partnership with CR&DALL presents a seminar on "Learning for a better life: reflecting across cultures" with Prof. Anna Robinson-Pant, Professor of Education, University of East Anglia, Norwich, UK as well as UBDC researcher Dr. Catherine Lido.
Places are limited and registration is required via Eventbrite.

ABSTRACT

Learning for a better life: reflecting across cultures

In rural communities around the world, people have long recognised the power of informal learning to transform their lives and have developed their own strategies for sharing and adapting indigenous and new knowledge with their peers and family members to improve their livelihoods. However, international and national Education For All policy has continued to take a narrow focus on learning as synonymous with schooling and formal education/training. Drawing on ethnographic-style research conducted for UNESCO-IFAD (International Fund for Agricultural Development) in rural areas of Cambodia, Egypt and Ethiopia, this seminar will explore young people's aspirations in these contexts - and how they set out to gain new knowledge, skills and opportunities for a better life.

BIOGRAPHY

Anna Robinson-Pant

Anna Robinson-Pant is Professor of Education. She was based for around ten years in Nepal, where she worked as a teacher trainer, educational planner and ethnographic researcher with various aid agencies. She won the UNESCO International Award for Literacy Research in 1998 for her ethnographic study of women's literacy and development in Nepal (Why eat green cucumber at the time of dying? Exploring the link between women's literacy and development).Since then, she has conducted research projects on literacy, gender, education and development - including her recent role as Global Research Coordinator for the IFAD-UNESCO project in Cambodia, Ethiopia and Egypt, 'Learning knowledge and skills for agriculture to improve rural livelihoods' - on which this seminar will be based. In the UK she has researched children's decision making in primary education and the internationalisation of higher education."
Year(s) Of Engagement Activity 2015
 
Description CR&DALL Seminar at UBDC - Learning Through Intergenerational Practice 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Other academic audiences (collaborators, peers etc.)
Results and Impact Half-day seminar to introduce aspects of intergenerational learning, tutoring and research. Prof. Osborne and Prof. Thakuriah provided introduction about the UBDC.

Raised awareness of UBDC to educational researchers.
Year(s) Of Engagement Activity 2015
URL http://ubdc.ac.uk/our-services/events-workshops-training-more/past-events-2015/crdall-seminar-learni...
 
Description CREATe Copyright Centre - Text and Data Mining and the Law Talk 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Andrew McHugh (10/10/19) - Invited talk at workshop exploring issues around data collection and intellectual property law.
Year(s) Of Engagement Activity 2019
URL https://www.create.ac.uk/blog/2019/12/11/create-symposium-2019-information-research-data-and-open-sc...
 
Description CaCHE Launch Event 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact UBDC staff attended the launch on 18/10/17 of the newly funded UK Collaborative Centre for Housing Evidence (CaCHE). This was an opportunity for networking with interested people and also tweeting from the event to draw links between UBDC housing research and data, and the CaCHE remit and planned activities.
Year(s) Of Engagement Activity 2017
URL http://www.rics.org/uk/news/news-insight/news/launch-of-the-uk-collaborative-centre-for-housing-evid...
 
Description CaCHE Seminar: Poverty in the Private Rented Sector 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Third sector organisations
Results and Impact UBDC Director Professor Nick Bailey, gave a speech on Poverty in the Private Rented Sector, at the UK Collaborative Centre for Housing Evidence's seminar on the 07/12/18.

The private rented sector is experiencing unprecedented growth in Scotland and elsewhere in the UK. The sector remains massively controversial and faces many problems and challenges as well as key opportunities for potential benefit to households and the economy.

The seminar began with a presentation from Prof Ken Gibb on the UK Collaborative Centre for Housing Evidence's future work plans in relation to the private rented sector. This will be followed by three presentations which explore recent research on the rise of poverty in private renting and 'generation rent', before opening up to a roundtable discussion.
Year(s) Of Engagement Activity 2018
URL https://www.ubdc.ac.uk/education-and-events/events-and-courses/past-events-2018/cache-seminar-povert...
 
Description CaCHE Short Term Lets seminar 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact Dr. David McArthur gave a talk about how open data can be used to better understand the effect of short term rentals on cities. The event was intended to improve the policy response to the large growth in the market for short term lets. After the talk, three UBDC researchers were asked to attend a roundtable event organised by the Scottish Government. We were also approached by the Dublin Housing Observatory to collaborate on research.
Year(s) Of Engagement Activity 2019
URL https://www.ubdc.ac.uk/education-and-events/events-and-courses/past-events-2019/cache-seminar-short-...
 
Description Call for Expressions of Interest into Adzuna Dataset 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact UBDC invites expressions of interest from applicants interested in using Adzuna job listings data for non-commercial academic research projects.
Adzuna is a search engine for job advertisements in the UK and provides data about the job market. Adzuna searches thousands of websites to bring together information on millions of advertisements on their service.
Year(s) Of Engagement Activity 2021
URL http://ubdc.ac.uk/data-services/data-services/call-for-expressions-of-interest/
 
Description Campaign for the Social Sciences 2020 Event 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact</