Retail Business Datasafe
Lead Research Organisation:
University College London
Abstract
Since 2014 the Consumer Data Research Centre based at University College London and the Universities of Liverpool and Oxford (CDRC-ULO) has been a leading international centre for the acquisition, analysis and provisioning of consumer and business data to the UK research community. As of September 2021, we have supported 27,494 users through our public data portals and Trusted Research Environments (TREs), with usage growth of 104% (121% for Controlled/Safeguarded data and 87% for Open data) over the preceding 12 months. We aim to sustain this performance during ESRC's planned transition to the DigitalFootprints Data Service. The CDRC-ULO service delivers against ESRC's national priorities and needs for the social sciences by facilitating unique and cutting-edge research. As of September 2021 CDRC-ULO data have been cited in 203 peer reviewed academic papers. It also sustains an infrastructure that has nationally significant social and economic impact. Indicative examples include: provision of data integral to Transport for London's "Healthy Streets 2021/2" planning that supports £2.1 billion of infrastructure investment to encourage more active, efficient and sustainable travel modes; use of the Ethnicity Estimator tool (ee.cdrc.ac.uk) developed in partnership with the Office for National Statistics (ONS) by Public Health Wales to examine ethnic variations in outcomes for patients hospitalised in the early stages of the Covid-19 pandemic; emergency provision of current small area ethnicity estimates to the UK Government Joint Biosecurity Centre's (JBC) pandemic response; and participation with ONS/JBC/ADRUK in the "Local Data Spaces" initiative to deliver and evaluate the UK Covid-19 "mass testing" exercise and subsequent opening up of society and the economy (winner of a 2021 ONS Research Excellence award). Such cases demonstrate fulfilment of CDRC-ULOs objective of enabling the user of consumer / business data to develop the quality, quantity and impact of social science research and anticipates the value of the prospective DigitalFootprint data service. CDRC-ULO continues to build on such successes with the mission: (a) to sustain international leadership in the identification, acquisition and preparation of strategic consumer / business data assets; making these findable, accessible, interoperable and reusable (FAIR) for innovative thematic research; (b) to enable best use of strategically important data that are developed using cutting edge research supported as appropriate by Trusted Research Environments (TREs) and digital platforms; (c) to build data skills capacity through training and successful research applications using consumer data, consistent with UKRI and wider UK Innovation / National Data Strategies; and (d) to ensure responsible (lawful, secure, fair and ethical) use of consumer / business data. These infrastructural, service, capacity building and ethical functions underpin our ongoing commitments to innovation and service delivery in the context of the Digital Footprints prototype initiative. CDRC-ULO is funded by the ESRC to deliver a comprehensive and internationally leading data service to external users. To maximise its role as core UK social science infrastructure, CDRC-ULO has pursued increased harmonisation of data acquisition and asset use with other ESRC centres (specifically UBDC and CDRC-Leeds) and has worked with NCRM on training provision. CDRC-ULO continues to innovate in data service provision, development and enhancement, while also supporting the immediate objectives of the DigitalFootprints Prototype.
Planned Impact
RBDS will establish an unique and internationally leading collaboration with the retail sector. This will benefit anyone who needs retail data for their research activities, whether interested in the form and function of the retail sector itself (INTERNAL IMPACT) or its wider impacts upon society, for example in health, planning, transport, education provision or policing (EXTERNAL IMPACT).
Academics working in geography, planning, political science, civil engineering/transport, psychology, social medicine, economics or sociology will use the RBDS as their first port of call when needing to source reliable, frequently updated and comprehensive 'Big' retail data of known and acceptable provenance. This will facilitate a step change in the volume and quality of empirical research about retailing and establish UK leadership in this collaborative endeavour.
The best retail data centre in the world will be of obvious benefit to the retail industry, which is worth £300 billion to the UK annually and employs 1 in 9 working people. Benefits will accrue to large and small (SME) retailers alike that access RBDS facilities. These benefits will be augmented where retail businesses enter into collaborative research with academics in different disciplines: this will become much more of a norm with heightened awareness of academic interests in the wake of RBDS outreach activities.
The retail sector is an integral element of a vibrant and fair society. World-leading retail data provision will also benefit users in local and central government, third sector organisations, the NHS, transport companies, law enforcement, and education and training who need to factor in retail's influences upon individual behaviour and lifestyle. Through the supply of the best data to end users in these sectors, RBDS will have wide economic and societal impacts upon planning for retail provision. Likely impacts will include: better understanding the contribution of the retail sector for health and well-being; improving the effectiveness of public service delivery at the local, regional and national levels; developing energy conservation initiatives; influencing public policy towards the retail sector, nurturing its recovery and contributing to national wealth creation; developing new thinking about the role of the retail sector in urban regeneration and land use change; and rethinking the ways in which third sector and other organisations can use the retail sector to the common good.
The internationally leading service products created by RBDS will develop new knowledge through research in quantitative methods, specifically in establishing the provenance of Big Data and their linkage to official, administrative and social media sources. The international link with best practices in the U.S. will ensure that the impacts of these methodological develoments is felt far beyond the UK.
The predominantly quantitative nature of datasets produced will increase UK capacity in quantitative methods and Big Data analytics, and make this increased capacity more relevant to the needs of the retail industry. At the undergraduate level, RBDS data will reinforce the activities of the Nuffield/ESRC Q-Step centres (including that based at UCL). Continuation of the highly successful Retail Research Masters industrial collaborations will further develop postgraduate training capacity. Channeling resources into the multidisciplinary DTC cohorts at Liverpool and UCL will establish retailing as a prominent ingredient in Ph.D. programmes for the first time in the UK. The programme of short courses will help inculcate quantitative analysis skills that are relevant in recruitment to the retail industry (e.g. retail insight and management) as well as the academic and research sector.
Academics working in geography, planning, political science, civil engineering/transport, psychology, social medicine, economics or sociology will use the RBDS as their first port of call when needing to source reliable, frequently updated and comprehensive 'Big' retail data of known and acceptable provenance. This will facilitate a step change in the volume and quality of empirical research about retailing and establish UK leadership in this collaborative endeavour.
The best retail data centre in the world will be of obvious benefit to the retail industry, which is worth £300 billion to the UK annually and employs 1 in 9 working people. Benefits will accrue to large and small (SME) retailers alike that access RBDS facilities. These benefits will be augmented where retail businesses enter into collaborative research with academics in different disciplines: this will become much more of a norm with heightened awareness of academic interests in the wake of RBDS outreach activities.
The retail sector is an integral element of a vibrant and fair society. World-leading retail data provision will also benefit users in local and central government, third sector organisations, the NHS, transport companies, law enforcement, and education and training who need to factor in retail's influences upon individual behaviour and lifestyle. Through the supply of the best data to end users in these sectors, RBDS will have wide economic and societal impacts upon planning for retail provision. Likely impacts will include: better understanding the contribution of the retail sector for health and well-being; improving the effectiveness of public service delivery at the local, regional and national levels; developing energy conservation initiatives; influencing public policy towards the retail sector, nurturing its recovery and contributing to national wealth creation; developing new thinking about the role of the retail sector in urban regeneration and land use change; and rethinking the ways in which third sector and other organisations can use the retail sector to the common good.
The internationally leading service products created by RBDS will develop new knowledge through research in quantitative methods, specifically in establishing the provenance of Big Data and their linkage to official, administrative and social media sources. The international link with best practices in the U.S. will ensure that the impacts of these methodological develoments is felt far beyond the UK.
The predominantly quantitative nature of datasets produced will increase UK capacity in quantitative methods and Big Data analytics, and make this increased capacity more relevant to the needs of the retail industry. At the undergraduate level, RBDS data will reinforce the activities of the Nuffield/ESRC Q-Step centres (including that based at UCL). Continuation of the highly successful Retail Research Masters industrial collaborations will further develop postgraduate training capacity. Channeling resources into the multidisciplinary DTC cohorts at Liverpool and UCL will establish retailing as a prominent ingredient in Ph.D. programmes for the first time in the UK. The programme of short courses will help inculcate quantitative analysis skills that are relevant in recruitment to the retail industry (e.g. retail insight and management) as well as the academic and research sector.
Organisations
- University College London (Lead Research Organisation)
- Greenwich Leisure Limited (Collaboration)
- Camden Council (Collaboration)
- BKK Centre for Budapest Transport (Collaboration)
- Harvard University (Collaboration)
- Cabinet Office (Collaboration)
- BT Group (Collaboration)
- Location Sciences AI Ltd (Collaboration)
- UNIVERSITY OF BIRMINGHAM (Collaboration)
- Runnymede Trust (Collaboration)
- City University of Hong Kong (Collaboration)
- Local Government Association (Collaboration)
- Bangor University (Collaboration)
- Lancaster University (Collaboration)
- Metro Dynamics (Collaboration)
- University of Lisbon (Collaboration)
- Birkbeck, University of London (Collaboration)
- University of Cologne (Collaboration)
- Alan Turing Institute (Collaboration)
- British Gas (Collaboration)
- The England and Wales Cricket Board (Collaboration)
- Walgreens Boots Alliance, Inc (Collaboration)
- GLASGOW CITY COUNCIL (Collaboration)
- Grant Thornton (Collaboration)
- Boston University (Collaboration)
- London Borough of Hounslow Council (Collaboration)
- Temple Group (Collaboration)
- Demos (Collaboration)
- GVC Holdings PLC (Collaboration)
- Institute of Place Management (Collaboration)
- Money and Mental Health Policy Institute (Collaboration)
- IMPERIAL COLLEGE LONDON (Collaboration)
- Friends of the Earth (Collaboration)
- University of Lyon (Collaboration)
- GeoPlace LLP (Collaboration)
- UNIVERSITY OF YORK (Collaboration)
- George Mason University (Collaboration)
- Speedchecker (Collaboration)
- Greater London Mutual Ltd (Collaboration)
- University of Warwick (Collaboration)
- UNIVERSITY OF STRATHCLYDE (Collaboration)
- University of Bath (Collaboration)
- Oxford Economics (Collaboration)
- Heriot-Watt University (Collaboration)
- University of Leicester (Collaboration)
- GeoSmart Information (Collaboration)
- Social Market Foundation (Collaboration)
- UNIVERSITY OF ESSEX (Collaboration)
- Pizza Hut UK Ltd (Collaboration)
- Stand Magazine (Collaboration)
- Royal Holloway, University of London (Collaboration)
- Alzheimer's Research UK (Collaboration)
- The Co-operative Group Ltd (Collaboration)
- Data Analysts User Group (Collaboration)
- National University of Singapore (Collaboration)
- Royal Society for the Protection of Birds (RSPB) (Collaboration)
- London Borough of Tower Hamlets (Collaboration)
- University of Toronto (Collaboration)
- Fair4All Finance (Collaboration)
- Metropolitan Police Service (Collaboration)
- KNIGHT FRANK LLP (Collaboration)
- Barbour ABI (Collaboration)
- Autonomous University of Madrid (Collaboration)
- University of Bologna (Collaboration)
- Parsons Bakery (Collaboration)
- Loughborough University (Collaboration)
- University of Oxford (Collaboration)
- Keele University (Collaboration)
- Agilysis Ltd (Collaboration)
- University College London (Collaboration)
- University of Chicago (Collaboration)
- Which? (Collaboration)
- Student Data Labs (Collaboration)
- West Ukrainian National University (WUNU) (Collaboration)
- Tamoco Limited (Collaboration)
- Oldham Council (Collaboration)
- SOLIHULL METROPOLITAN BOROUGH COUNCIL (Collaboration)
- Southwestern University of Finance and Economics (Collaboration)
- QUEEN MARY UNIVERSITY OF LONDON (Collaboration)
- The Very Group (Collaboration)
- Datatalk Research Ltd (Collaboration)
- Clear Mapping Company (Collaboration)
- Kantar Group (Collaboration)
- Experian (United Kingdom) (Collaboration)
- University of Minnesota (Collaboration)
- School of Oriental and African Studies (University of London) (Collaboration)
- E ON (Collaboration)
- Nottingham Trent University (Collaboration)
- Oxford City Council (Collaboration)
- Bloomberg (Collaboration)
- New York University (Collaboration)
- Department for Work and Pensions (Collaboration)
- French Institute of Geopolitics (IFG) (Collaboration)
- Guardian Media Group (Collaboration)
- Newcastle University (Collaboration)
- UNIVERSITY OF BRIGHTON (Collaboration)
- Ipsos MORI (Collaboration)
- Local Trust (Collaboration)
- UNIVERSITY OF GLASGOW (Collaboration)
- California State University, Fullerton (Collaboration)
- Mississippi State University (Collaboration)
- The British Academy (Collaboration)
- University of Huddersfield (Collaboration)
- Financial Conduct Authority (FCA) (Collaboration)
- Didobi Ltd (Collaboration)
- National Employment Savings Trust (Collaboration)
- Arup Group (Collaboration)
- National Institute of Economic and Social Research (NIESR) (Collaboration)
- National Centre for Social Research (Collaboration)
- UNIVERSITY OF EDINBURGH (Collaboration)
- EasyJet (Collaboration)
- UNIVERSITY OF WESTMINSTER (Collaboration)
- Public Health Wales NHS Trust (Collaboration)
- Koblenz University of Applied Sciences (Collaboration)
- Devon County Council (Collaboration)
- UNIVERSITY OF LEEDS (Collaboration)
- GlaxoSmithKline (GSK) (Collaboration)
- University of Bristol (Collaboration)
- Spark44 (Collaboration)
- Shop Direct (Collaboration)
- London School of Economics and Political Science (University of London) (Collaboration)
- University of St Andrews (Collaboration)
- Nationwide Building Society (Collaboration)
- Home Retail Group (Argos) (Collaboration)
- Debenhams Plc (Collaboration)
- Mango Solutions Ltd (Collaboration)
- Marks and Spencer (Collaboration)
- Ritsumeikan University (Collaboration)
- Local Enterprise Partnerships (Collaboration)
- CBRE Group, Inc. (Collaboration)
- Local Data Company (Collaboration)
- Trust for London (Collaboration)
- Leibniz Association (Collaboration)
- DIGITAL CATAPULT (Collaboration)
- WESTMINSTER CITY COUNCIL (Collaboration)
- Denbighshire County Council (Collaboration)
- National Museums Liverpool (Collaboration)
- UK Data Service (Collaboration)
- Government of the UK (Collaboration)
- Fusion Data Science Ltd (Collaboration)
- University of Sheffield (Collaboration)
- DURHAM UNIVERSITY (Collaboration)
- ConsultingWhere (Collaboration)
- Transport for West Midlands (Collaboration)
- CACI International Inc (Collaboration)
- Wellcome Trust (Collaboration)
- Greater London Authority (Collaboration)
- Sainsbury's (Collaboration)
- Appliances Online Ltd (Collaboration)
- Ealing London Borough Council (Collaboration)
- Scottish and Southern Energy (SSE) (Collaboration)
- Centre for Policy Studies (Collaboration)
- British Broadcasting Corporation (BBC) (Collaboration)
- Centre for Social Justice (Collaboration)
- Tesco (United Kingdom) (Collaboration)
- Citizens Advice (Collaboration)
- AXA (Collaboration)
- Monash University (Collaboration)
- Registry Trust Limited (Collaboration)
- Columbia University (Collaboration)
- HammersmithLondon Business Improvement District (Collaboration)
- Cluttons LLP (Collaboration)
- University of Nottingham (Collaboration)
- University of Rome Tor Vergata (Collaboration)
- London Borough Of Newham (Collaboration)
- Shift Transit (Collaboration)
- Resolution Foundation (Collaboration)
- Movement Strategies (Collaboration)
- Huq Industries Limited (Collaboration)
- goHenry (Collaboration)
- Southwark Council (Collaboration)
- Cardiff University (Collaboration)
- OOMap (Collaboration)
- Virgin Media (Collaboration)
- General Medical Council (GMC) (Collaboration)
- Veale Wasbrough Vizards LLP (Collaboration)
- Office for National Statistics (Collaboration)
- Masaryk University (Collaboration)
- University of Manchester (Collaboration)
- National Health Service (Collaboration)
- De Montfort University (Collaboration)
- University of Southampton (Collaboration)
- Thomas Cook (Collaboration)
- University of Cambridge (Collaboration)
- Transport for London (Collaboration)
- Urban Institute (Collaboration)
- National College of Ireland (Collaboration)
- CARDIFF AND VALE UNIVERSITY HEALTH BOARD (Collaboration)
- National University of Ireland, Maynooth (Collaboration)
- Barclays (Collaboration)
- King's College London (Collaboration)
- Edith Cowan University (Collaboration)
- University of Liverpool (Collaboration)
- Local Data Company (United Kingdom) (Project Partner)
- Telefónica (United Kingdom) (Project Partner)
- Marks and Spencer (United Kingdom) (Project Partner)
- Sainsbury's (United Kingdom) (Project Partner)
- Environmental Systems Research Institute (United States) (Project Partner)
- Swinton Group Ltd (Project Partner)
- The Cooperative Group (Project Partner)
- E.ON (United Kingdom) (Project Partner)
Publications
Adnan M
(2014)
A geocomputational analysis of Twitter activity around different world cities
in Geo-spatial Information Science
Adnan M
(2014)
GeoComputation, Second Edition
Alexiou A
(2016)
A Classification of Multidimensional Open Data for Urban Morphology
in Built Environment
Arcaute E
(2016)
Cities and regions in Britain through hierarchical percolation.
in Royal Society open science
Arribas-Bel D
(2021)
Open data products-A framework for creating valuable analysis ready data
in Journal of Geographical Systems
Balamurugan Soundaraj
(2017)
Trends in urban flows: An information theory approach
Ballantyne P
(2021)
A framework for delineating the scale, extent and characteristics of American retail centre agglomerations
in Environment and Planning B: Urban Analytics and City Science
Ballantyne P
(2022)
Integrating the Who, What, and Where of U.S. Retail Center Geographies
in Annals of the American Association of Geographers
Ballantyne P
(2022)
Using unstable data from mobile phone applications to examine recent trajectories of retail centre recovery.
in Urban informatics
| Title | Access to Healthy Assets and Hazards flyer |
| Description | Promotional material for the 'Access to Healthy Assets and Hazards' CDRC data product |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2020 |
| Impact | The flyer describes visually and in an accessible way the objectives of the 'Access to Healthy Assets and Hazards' CDRC product and its characteristics and potentials in contributing to research. The flyer will be made available to more than 20,000 users of the CDRC Data Portal (data.cdrc.ac.uk). It will be used to promote the core CDRC Data Products. It will reach several hundreds of thousands of visitors (estimate based on similar CDRC activities in the past) also via highly popular CDRC-related websites such as World Names and GB Names (no URL is available as of March 2020, as the plan is to launch both websites in April 2020), which have attracted media attention and was a source for driving new user applications to the CDRC. |
| Title | Book cover graphic |
| Description | The cover of "The Routledge Handbook of Census Resrouces, Methods and Applications" was created from CDRC Maps. |
| Type Of Art | Artwork |
| Year Produced | 2018 |
| Impact | The graphic was used on the front cover of the book. |
| Title | CDRC 2017 Calendar |
| Description | A calendar of 14 CDRC maps and research visualisations created to promote the CDRC service particularly to local authorities. |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2016 |
| Impact | This calendar was sent to 400 local authority Chief Execs (200) data partners, prospective data partners and other key contacts, to promote CDRC Maps and CDRC data. The calendar was very well received with positive feedback via social media. |
| Title | CDRC Retail Centres flyer |
| Description | Promotional material for the CDRC Retail Centres data product. |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2020 |
| Impact | The flyer describes visually and in an accessible way the objectives of the 'CDRC Retail Centres' CDRC product and its characteristics and potentials in contributing to research. The flyer will be made available to more than 20,000 users of the CDRC Data Portal (data.cdrc.ac.uk). It will be used to promote the core CDRC Data Products. It will reach several hundreds of thousands of visitors (estimate based on similar CDRC activities in the past) also via highly popular CDRC-related websites such as World Names and GB Names (no URL is available as of March 2020, as the plan is to launch both websites in April 2020), which have attracted media attention and was a source for driving new user applications to the CDRC. |
| URL | https://www.cdrc.ac.uk/wp-content/uploads/2020/03/Retail.pdf |
| Title | CDRC leaflet |
| Description | This is an A4 size CDRC leaflet that outlines the CDRC services and activities. The CDRC leaflet is available here: https://www.cdrc.ac.uk/wp-content/uploads/2020/01/CDRCLeaflet.pdf |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2019 |
| Impact | The CDRC leaflet was produced for and disseminated at the DUG Conference 2019. The number of attendees at the conference were 102 and each attendee received a leaflet within their conference folders. The imidiate impact of this was that 102 attendees increased their knoweldge on what the activities and services of the CDRC. |
| URL | https://www.cdrc.ac.uk/wp-content/uploads/2020/01/CDRCLeaflet.pdf |
| Title | Ethnicity Estimator flyer |
| Description | Promotional material for the Ethnicity Estimator data product. |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2020 |
| Impact | The flyer describes visually and in an accessible way the objectives of the 'Ethnicity Estimator' CDRC product and its characteristics and potentials in contributing to research. The flyer will be made available to more than 20,000 users of the CDRC Data Portal (data.cdrc.ac.uk). It will be used to promote the core CDRC Data Products. It will reach several hundreds of thousands of visitors (estimate based on similar CDRC activities in the past) also via highly popular CDRC-related websites such as World Names and GB Names (no URL is available as of March 2020, as the plan is to launch both websites in April 2020), which have attracted media attention and was a source for driving new user applications to the CDRC |
| URL | https://www.cdrc.ac.uk/wp-content/uploads/2020/03/Ethnicity-Estimator.pdf |
| Title | Internet User Classification flyer |
| Description | Promotional material for the Internet User Classification data product. |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2020 |
| Impact | The flyer describes visually and in an accessible way the objectives of 'Internet User Classification' and its characteristics and potentials in contributing to research. The flyer will be made available to more than 20,000 users of the CDRC Data Portal (data.cdrc.ac.uk). It will be used to promote the core CDRC Data Products. It will reach several hundreds of thousands of visitors (estimate based on similar CDRC activities in the past) also via highly popular CDRC-related websites such as World Names and GB Names (no URL is available as of March 2020, as the plan is to launch both websites in April 2020), which have attracted media attention and was a source for driving new user applications to the CDRC. |
| URL | https://www.cdrc.ac.uk/wp-content/uploads/2020/03/IUC.pdf |
| Title | LinkedIn Page for Masters Dissertation Scheme Alumni |
| Description | A group for alumni and sponsors of the Masters Dissertation Scheme to connect and keep updated with news and events. |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2020 |
| Impact | Dissemination of the 2021 Masters Dissertation Scheme. |
| URL | https://www.linkedin.com/groups/12477802/ |
| Title | London Output Area Classification flyer |
| Description | Promotional material for London Output Area Classification data product. |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2020 |
| Impact | The flyer describes visually and in an accessible way the objectives of the 'London Output Area Classification' and its characteristics and potentials in contributing to research. The flyer will be made available to more than 20,000 users of the CDRC Data Portal (data.cdrc.ac.uk). It will be used to promote the core CDRC Data Products. It will reach several hundreds of thousands of visitors (estimate based on similar CDRC activities in the past) also via highly popular CDRC-related websites such as World Names and GB Names (no URL is available as of March 2020, as the plan is to launch both websites in April 2020), which have attracted media attention and was a source for driving new user applications to the CDRC. |
| URL | https://www.cdrc.ac.uk/wp-content/uploads/2020/03/LOAC_PAL.pdf |
| Title | London Workplace Zone Classification flyer |
| Description | Promotional material for the London Workplace Zone Classification data product. |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2020 |
| Impact | The flyer describes visually and in an accessible way the objectives of the 'London Workplace Zone Classification' CDRC product and its characteristics and potentials in contributing to research. The flyer will be made available to more than 20,000 users of the CDRC Data Portal (data.cdrc.ac.uk). It will be used to promote the core CDRC Data Products. It will reach several hundreds of thousands of visitors (estimate based on similar CDRC activities in the past) also via highly popular CDRC-related websites such as World Names and GB Names (no URL is available as of March 2020, as the plan is to launch both websites in April 2020), which have attracted media attention and was a source for driving new user applications to the CDRC. |
| URL | https://www.cdrc.ac.uk/wp-content/uploads/2020/03/LWZC.pdf |
| Title | Maps creation by Prof. James Cheshire |
| Description | Maps were created for the Museum of the City of New York. Work was displayed at the New Bedford Whaling Museum and Swiss Museum of Design. |
| Type Of Art | Artwork |
| Year Produced | 2019 |
| Impact | To discuss the significance and meaning of the 2020 Census for New York City's future and consider the deeper implications (political, cultural, social) of determining "who we are" as New Yorkers. |
| URL | https://www.mcny.org/whoweare |
| Title | Output Area Classification flyer |
| Description | Promotional material for the Output Area Classification data product. |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2020 |
| Impact | The flyer describes visually and in an accessible way the objectives of the 'Output Area Classification' CDRC product and its characteristics and potentials in contributing to research. The flyer will be made available to more than 20,000 users of the CDRC Data Portal (data.cdrc.ac.uk). It will be used to promote the core CDRC Data Products. It will reach several hundreds of thousands of visitors (estimate based on similar CDRC activities in the past) also via highly popular CDRC-related websites such as World Names and GB Names (no URL is available as of March 2020, as the plan is to launch both websites in April 2020), which have attracted media attention and was a source for driving new user applications to the CDRC. |
| URL | https://www.cdrc.ac.uk/wp-content/uploads/2020/03/OAC.pdf |
| Title | Population Churn Index flyer |
| Description | Promotional material for the Population Churn Index data product. |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2020 |
| Impact | The flyer describes visually and in an accessible way the objectives of the 'Population Churn Index' CDRC product and its characteristics and potentials in contributing to research. The flyer will be made available to more than 20,000 users of the CDRC Data Portal (data.cdrc.ac.uk). It will be used to promote the core CDRC Data Products. It will reach several hundreds of thousands of visitors (estimate based on similar CDRC activities in the past) also via highly popular CDRC-related websites such as World Names and GB Names (no URL is available as of March 2020, as the plan is to launch both websites in April 2020), which have attracted media attention and was a source for driving new user applications to the CDRC. |
| URL | https://www.cdrc.ac.uk/wp-content/uploads/2020/03/Population-Churn-Index.pdf |
| Title | Promotional material for the Social Mobility and Neighbourhood Change flyer |
| Description | Promotional material for the Social Mobility and Neighbourhood Change data product. |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2020 |
| Impact | The flyer describes visually and in an accessible way the objectives of the 'ASocial Mobility and Neighbourhood Change' CDRC product and its characteristics and potentials in contributing to research. The flyer will be made available to more than 20,000 users of the CDRC Data Portal (data.cdrc.ac.uk). It will be used to promote the core CDRC Data Products. It will reach several hundreds of thousands of visitors (estimate based on similar CDRC activities in the past) also via highly popular CDRC-related websites such as World Names and GB Names (no URL is available as of March 2020, as the plan is to launch both websites in April 2020), which have attracted media attention and was a source for driving new user applications to the CDRC. |
| URL | https://www.cdrc.ac.uk/wp-content/uploads/2020/03/Social-Mobility-and-Neighbourhoud-Change-Indices.p... |
| Title | Residential Mobility and Migration flyer |
| Description | Promotional material for the Residential Mobility and Migration data product. |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2020 |
| Impact | The flyer describes visually and in an accessible way the objectives of the 'Residential Mobility and Migration' CDRC product and its characteristics and potentials in contributing to research. The flyer will be made available to more than 20,000 users of the CDRC Data Portal (data.cdrc.ac.uk). It will be used to promote the core CDRC Data Products. It will reach several hundreds of thousands of visitors (estimate based on similar CDRC activities in the past) also via highly popular CDRC-related websites such as World Names and GB Names (no URL is available as of March 2020, as the plan is to launch both websites in April 2020), which have attracted media attention and was a source for driving new user applications to the CDRC. |
| URL | https://www.cdrc.ac.uk/wp-content/uploads/2020/03/Residential-Mobility-and-Migration.pdf |
| Title | UK Classification of Workplace flyer |
| Description | Promotional material for the UK Classification of Workplaces data product. |
| Type Of Art | Artefact (including digital) |
| Year Produced | 2020 |
| Impact | The flyer describes visually and in an accessible way the objectives of the 'UK Classification of Workplaces' CDRC product and its characteristics and potentials in contributing to research. The flyer will be made available to more than 20,000 users of the CDRC Data Portal (data.cdrc.ac.uk). It will be used to promote the core CDRC Data Products. It will reach several hundreds of thousands of visitors (estimate based on similar CDRC activities in the past) also via highly popular CDRC-related websites such as World Names and GB Names (no URL is available as of March 2020, as the plan is to launch both websites in April 2020), which have attracted media attention and was a source for driving new user applications to the CDRC. |
| URL | https://www.cdrc.ac.uk/wp-content/uploads/2020/03/COWZ.pdf |
| Description | Consumer data arise from the everyday interactions between individuals and customer-facing organisations. Today they account for a high and increasing real share of DigitalFootprints data that are collected about citizens. The three tier (Open, Safeguarded and Secure) CDRC-ULO service fashions such data into 'research ready' datasets that are delivered to users intent upon discovering more about what is going on across the entirety of modern Britain. Many CDRC-ULO data are linked between different sources and over time into DigitalFootprints data infrastructure that can be coupled with or linked to UKDS and other data sources. Exemplar data infrastructure, research ready data products and services include: • Individual level Linked Consumer Registers of UK adult population names and addresses, 1997-2023. This DigitalFootprints data infrastructure enables modelling of neighbourhood change and population-wide measures of social and spatial mobility. Related nationwide research ready data products include annual neighdourhood ethnicity estimates (created using CDRC-ULO Ethnicity Estimator software), distances of residential moves and changes in neighbourhood deprivation experienced following residential moves. • A nationwide Internet User Classification of adoption and use of new information and communications technologies. • Neighbourhood measures of Access to Healthy Assets and Hazards, which are part of the UK Office for Health Improvement & Disparities 'Fingertips' resource. • A nationwide network of retail centre catchments and retail area classifications. • An international inventory of bikeshare systems • A widely used tool for estimating the ethnic composition of local communities developed in collaboration with the Office for National Statistics, using a unique blend of consumer and statistical surveys • The very popular mapmaker.cdrc.ac.uk website (typically attracting 15,300 users per month) • The data.cdrc.ac.uk portal and data catalogue through which Open data may be downloaded and applications made for access to Safeguarded and Secure data. Together these DigitalFootprints data resources and services enable research using a blend of consumer, administrative and conventional statistical sources. The accumulated experience in data acquisition from predominantly private sector sources, and their subsequent ingestion, curation, linkage and management, has placed the UK at the forefront of consumer data research internationally. CDRC-ULO's three tier data service (provided in association with CDRC-Leeds) comprises: • An Open Tier, available to any user (approx. 425,000 data downloads since service launch - currently a download every 9 minutes); • A Safeguarded Tier, available upon successful application for research for the public good (282 user applications since launch); and • A Secure Tier available to accredited researchers following successful application to use CDRC's ISO27001 secure data facilities (71 applications since service launch). The research experience accumulated over nine years of funding has enabled internationally leading development of: • Scale free solutions to the creation and maintenance of DigitalFootprints data infrastructure, resolving many of the uncertainties that plague quantitative analysis of geographically pre-aggregated data; • Internationally leading expertise in understanding the source and operation of bias in consumer datasets that have not previously been repurposed for social science research; • DigitalFootprints data infrastructure pertaining to Personal and Sensitive Personal individual characteristics that is (ISO27001) secure and fully General Data Protection Regulation compliant; and • A virtuous cycle of collaborations between adacemia and and ndustry based upon commonalties of interest in applied problem-solving - through Masters and Ph.D. projects, data partnerships and co-funded projects. |
| Exploitation Route | CDRC-ULO has spearheaded the creation and maintenance of 'research ready' datasets derived from nationwide consumer data infrastructure, all developed over the last nine years. CDRC-ULO has provisioned 353 approved safeguarded/secure tier projects from 139 institutions (as of 28 February 2023). As of February 2023, more than 1,200 applications to access safeguarded and secure data had been processed. The accumulated benefits of this service provision continue to advance research across social science. CDRC-ULO's highly successful Masters Dissertation Scheme has offered 150+ industrial projects since 2014 with successful applicants coming from many disciplines in 20 universities working on projects with 75 businesses. Collaborative projects (with partnering business in brackets) in 2022 included: use of consumer data to: implement and evaluate online recommender systems (Kanos Group); predict problem gambling (Entain/Ladbrokes); understand the opportunities to drive a net positive impact for biodiversity within direct retail operations (J. Sainsbury); understand the economic and real estate impact of the gaming industry in Dubai (Knight Frank); quantify household carbon impacts (CACI); drive net zero future energy targets using smart sensors (GHD Movement Strategies); understand the importance of travel ticket purchasing in promoting economic and social mobility (Transport for West Midlands); model the propensity of Londoners to borrow rather than buy (Library of Things); understand the impact restrictions on mobility and working from home upon Greater London train station hubs as desirable retail locations (Local Data Company); and spatial interaction analysis of retail behaviour in Chicago (Olvin). Current exemplars of data service impact of the Safeguarded and Secure services in the current (2022/23) reporting period include: 1. CDRC Modelled Ethnicity Proportions: (a) Third Sector organisation Friends of the Earth used these data to assess how local environmental impacts such as high air pollution, climate vulnerability or access to green space overlap with areas of deprivation, low income groups, and younger or ethnic minority residents. The data were used in preference to Census 2011 estimates which were over a decade out of date. (b) Commercial organisation We Made That used the data as part of the Greater London Authority's Culture and Community Spaces at Risk imitative. Particular emphasis was placed on infrastructure serving diverse communities, such as those identified using CDRC-ULO's residential mobility index. 2. Ethnicity Estimator software: (a) Third Sector organisation Alzheimer's Research UK used the software to analyse author ethnicity in published research. Related analysis was used to monitor and evaluate the ethnicity of recipients of £20m of charity research grants made each year. (b) Glasgow City Council used the software to estimate the proportion of BME individuals applying for and being awarded emergency grant funding from the Scottish Welfare Fund (SWF). The application established the degree to which BME applicants were applying proportionately to the fund. (c) Third sector organisation the Twins Trust used the software to better understand why babies of Black African, Black Caribbean, Pakistani and Bangladeshi ethnicity are much more affected by high rates of stillbirth and neonatal death relative to their White counterparts. Research findings were used to identify the proportion of families from hard-to-reach communities that would interact with charity representatives pursuant to reducing extant inequalities of outcome. 3. Local Data Company - SmartStreetSensor Footfall and Retail Occupancy Data. (a) Footfall data were used by the Office for National Statistics in its ongoing investigations into population mobility as a contribution to the 2023 recommendation on the future of the population and statistics system. (b) Retail occupancy data were used by Camden Council to develop a roadmap for future high streets policy. 4. Financial Conduct Authority (FCA) Financial Lives Survey: (a) The UK Government's Department of Work and Pensions (DWP) used the Survey to calculate private pensions engagement statistics, with particular emphasis upon the decumulation phase, uptake of advice and guidance, numbers of pension pots held and uptake of ethical and green investments. (b) Commercial organisation Dynamic Planner creates software for independent financial advisors and used the Survey to investigate factors impacting upon financial vulnerability. (c) The Third Sector Centre for Social Justice used the Survey to investigate the financial lives of those who borrow from family and friends. (d) The Third Sector Social Market Foundation used the Survey (along with UKDS-held Understanding Society) undertook research to explore whether there is a gap in take up of financial products amongst consumers from ethnic minority backgrounds. The research was sponsored by Which? and the report published at https://www.smf.co.uk/wp-content/uploads/2023/01/Squeezed-out-or-opting-out-February-2023.pdf. (e) Third Sector consumer organisation Which? used the Survey in digital payments research to understand the uptake of different methods (i.e. online banking, mobile apps, mobile wallets, contactless) across the UK split by different demographic group. (f) Commercial organisation Nationwide Building Society used the survey in support of reporting of outcomes for Consumer Duty as required by the FCA. Documented external impact is reported in the individual ResearchFish returns and typically accrues after the current annual ResearchFIsh reporting period. For illustrative purposes some of the Impact-related reports and published work arising from just one data holding (the Financial Lives Survey) appearing in 2022-23 includes: (a) Money and Mental Health Policy Institute. Report: 'No One Left Behind: Making Levelling Up Deliver for People with Mental Health Problems: https://www.moneyandmentalhealth.org/wp-content/uploads/2022/07/MMH-No-One-Left-Behind-Report-WEB-1.pdf (b) South Yorkshire Councils and University of Sheffield: FLS survey use alongside CDRC-ULO Local Data Company Retail Type or Vacancy Classification and Speedchecker Broadband Internet Speed Tests. Report on Understanding Digital Poverty in South Yorkshire: https://www.sheffield.ac.uk/office-for-data-analytics/digital-poverty (c) Financial Conduct Authority and Royal Holloway, University of London. Report on households' financial capability, wealth and resilience to shocks: https://www.fca.org.uk/publication/research/risk-return-research-note.pdf (d) King's College London. SSRN paper at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4368661 |
| Sectors | Agriculture, Food and Drink,Communities and Social Services/Policy,Creative Economy,Digital/Communication/Information Technologies (including Software),Energy,Environment,Financial Services, and Management Consultancy,Healthcare,Leisure Activities, including Sports, Recreation and Tourism,Government, Democracy and Justice,Culture, Heritage, Museums and Collections,Retail,Security and Diplomacy,Transport,Other |
| URL | http://data.cdrc.ac.uk_mapmaker.cdrc.ac.uk_apps.cdrc.ac.uk/gbnames_cdrc.ac.uk |
| Description | The availability of CDRC-ULO consumer data continues to have a transformative effect upon end users in social policy, medicine, public health, transport, personal finance, and local authority planning. These impacts are achieved through provision to end users of 'research ready' datasets fashioned from new sources and forms of data - a process that CDRC-ULO has pioneered in UK social science. Our computer mapping portal, mapmaker.cdrc.ac.uk attracts c.15,300 visitors per month. As of February 2023, our data service, data.cdrc.ac.uk, had served 425,000 downloads and has processed over 1,200 applications to use our Safeguarded and Secure data collections. CDRC-ULO engages extensively with the business and government sectors. For example: • CDRC's successful and pioneering 'Ladder of Engagement' model has created positive benefits for more than 75 external organisations collaborating on 150+ dissertations undertaken under the nationwide Masters Dissertation Scheme, and the 20 organisations that have co-funded 26 Ph.D. students at CDRC-ULO. • The Masters Dissertation Scheme Alumni Network works alongside the CDRC Data Partners Forum to sustain and accelerate business sector collaboration with academia, by following former students through different segments of the labour market. • In 2021 three CDRC-ULO staff (one co-I and two postdocs) were seconded to the Covid-19 'Local Data Spaces' programme to make pandemic-relevant datasets available using bespoke consultancy services and cascading of research ready data products (https://data.cdrc.ac.uk/dataset/local-data-spaces). This achievement was recognised by the Office for National Statistics (ONS) through its annual Research Excellence Award. • In 2021 four CDRC-ULO Ph.D. student ambassadors took up short term placements with business and third sector organisations to apply CDRC-ULO research in different problem-solving domains. • CDRC-ULO's London geodemographic data products and maps include output area classifications (LOAC, TOAC, LWPZ), population churn and modelled ethnicity and are being utilised within the public sector for decision making by the Greater London Authority (as well as a number of the Capital's constituent Boroughs) and for planning purposes by Transport for London. • CDRC-ULO small area ethnicity estimates and bikeshare scheme usage data were used by the Joint Biosecurity Centre in the 2020 Covid-19 pandemic. • CDRC Open geodemographic classifications provide local authorities (including those in London, Northumberland, Leicestershire, East Sussex, Kingston-upon-Hull and Southampton) with free classifications for use in resource allocation and neighbourhood profiling. These provide transparent alternatives to commercial solutions - which might otherwise reduce local accountability or cost taxpayers many hundreds of thousands of pounds. Most of these classifications are fully Open - that is, the methodology is fully documented and end users can (and have) amended the underlying software and code to develop their own bespoke classifications; Collaboration with the ONS resulted in co-creation of the ONS Output Area Classification, which has been used, inter alia, to ascertain the accuracy of sample estimates from the ONS Children's Dental Health Survey and Integrated Household Survey. New classifications will be created in collaboration with the ONS following publication of all 2021 and 2022 Census data. CDRC-ULO data products will continue to have impacts upon end user organisations, indicatively: • The Local Trust utilised annual neighbourhood turnover data to contextualise its National Lottery-funded Big Local Areas; • The Book of Mormon theatre production utilised the Internet User Classification to predict patterns of show ticket purchase and to plan outdoor advertising for its UK regional productions; • Neighbourhood turnover and residential mobility research ready data were used by the Trust for London to develop and evaluate London's 'Poverty Profile'; • Liverpool City Region Combined Authority and Aberdeen Asset Management used retail centre and catchment data to inform a regenerations strategy for the Albert Docks. • Cobalt Housing's growth strategy for social housing in Liverpool was informed by linked consumer register statistics; • CDRC-ULO maps platforms appear in the GCSE and A-Level Geography Curricula; • CDRC-ULO tutorials have been downloaded more than 87,000 times and are widely used in undergraduate and postgraduate teaching across the UK; • A customised version of the CDRC-ULO Internet User Classification has been created with a partner 'High Street Retailer' for their internal operational planning; • CDRC-ULO's access to Healthy Assets and Hazards classification has been used by the Office for Health Improvement & Disparities within its Fingertips tool that is available to all local authorities in England; • CDRC-ULO mapping technology has been used in the Scottish Index of Multiple Deprivation's mapping tool, Southwark Council interactive map showing traffic count measurements, and England & Wales Cricket Board's South Asian heatmap as part of their youth engagement strategy; and • CDRC name classification software has been used by Public Health Wales to examine hospital admission rates and outcomes for members of BAME groups. The Intellectual Property Office used names classification to identify ethnicity profiles of UK Patenting in 2022. The Greater London Authority has used the software to estimate the changing distributions of ethnic minorities across the Capital, in order to better cater for community needs and integration. CDRC-ULO ethnicity estimation tools have also been used by Birmingham Women's and Children's NHS Foundation to better understand the incidence of tumours in children and by the UK Health Security Agency to trace the probable origins of new bacterial strains carried by humans. CDRC-ULO ethnicity estimation was also used by Camden Council to demonstrate even-handedness in the rehousing of residents from similarly clad structures to Grenfell Tower. The CDRC-ULO service has responded to strong and growing demands from local authorities, schools, the private sector and third sector organisations for access to its data holdings. Examples of specific end uses for CDRC's data brokering service or research ready data products include: • use of customer loyalty datasets to indicate susceptibility to life threatening disease by health care professionals; • integrated analysis of smart card and statistical data by a regional transport provider to devise socially inclusive public transport strategies; • use of footfall data alongside other consumer and survey data by retailers to better understand micro-site location in high streets and other retail areas; • creation of time-of-day population statistics for use in the health, emergency/crisis response and national security sectors. CDRC-ULO coordinates a full programme of short courses and online tutorials. It has engaged with 100+ external organisations since launch, of whom 25 are actively sharing data with the service (some providing multiple data products). Interaction with external organisations is achieved using externally provided data for PhD and Masters Research Dissertations. Organisations have partnered with CDRC-ULO to access world-class research expertise and to work on collaborative projects focused on finding solutions to practical business problems. |
| First Year Of Impact | 2014 |
| Sector | Agriculture, Food and Drink,Communities and Social Services/Policy,Creative Economy,Digital/Communication/Information Technologies (including Software),Education,Energy,Environment,Financial Services, and Management Consultancy,Healthcare,Leisure Activities, including Sports, Recreation and Tourism,Government, Democracy and Justice,Culture, Heritage, Museums and Collections,Retail,Transport,Other |
| Impact Types | Societal,Economic,Policy & public services |
| Description | A market segment evaluation of an energy supplier in UK |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The MSc project access the market share of this supply associated with house type and tenures in UK in order to define its business strategy |
| Description | AHAH data used in report for BBC Radio 4 Women's Hour |
| Geographic Reach | National |
| Policy Influence Type | Citation in other policy documents |
| Description | Advising Children's Society on mapping and data |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | Children's Society now better informed about the commissioning and requirements of mapping platforms and the data they can contain. |
| Description | An Introduction to Small Area Statistics and Geodemographic Segmentation - London |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT training course was open to people working in the public and private sectors as well as academics and private individuals. It was attended by people from RAC Foundation, Trafford Housing Trust, Which?, County and District Councils, university researchers and students. The course was runs as a mix of lectures and practical tasks. It can be inferred that the upskilIing of individuals to make more effective use of their data using R and QGIS software would give them the skills to understanding on how to obtain and analyse small area data. Numbers of delegates: 15 |
| Description | An Introduction to spatial Data Analysis and Visualisation in R |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | An online open tutorial series designed to provide an accessible introduction to techniques for handling, analysing and visualising spatial data in R. The practical series uses open data which has been made readily available for each tutorial and demonstrates a range of techniques useful in social sciences including multivariate analysis, mapping and spatial interpolation. The course has been downloaded xxx |
| URL | https://data.cdrc.ac.uk/tutorial |
| Description | Big Data - Science and Technology Select Committee Inquiry |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| URL | http://www.publications.parliament.uk/pa/cm201516/cmselect/cmsctech/468/46802.htm |
| Description | Citation for use of AHAH data in wind farm report / environmental statement |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Citation in other policy documents |
| Description | Citation in report on air quality by NHS |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Citation in other policy documents |
| Description | Citation of AHAH data in air quality report for Gloucestershire |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Citation in other policy documents |
| Description | Citation of data use in report on health in Tower Hamlets (see p20) |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Citation in other policy documents |
| Description | Confident Spatial Analysis - Liverpool |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio & GeoDa software would give them the skills to prepare and analyse spatial data and understand how spatial data is managed in R. Numbers of delegates: 14 |
| Description | Confident Spatial Analysis - London |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This course was run as part of a collaboration with ADRC_E and delivered by ClearMapping Company at UCL. The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It was one of three one-day training courses that could be taken separately or in conjunction with each other. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio & GeoDa software would give them the skills to prepare and analyse spatial data and understand how spatial data is managed in R. Numbers of delegates: 20 |
| Description | Confident Spatial Analysis - London |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio & GeoDa software would give them the skills to prepare and analyse spatial data and understand how spatial data is managed in R. Numbers of delegates: 6 |
| Description | Confident Spatial Analysis - London |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | Confident spatial analysis using R and GeoDa This course was run as part of a collaboration with ADRC_E and delivered by ClearMapping Company at UCL. The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It was one of two one-day training courses that could be taken separately or in conjunction with each other. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio & GeoDa software would give them the skills to prepare and analyse spatial data and understand how spatial data is managed in R. Numbers of delegates: 24 |
| Description | Confident Spatial Analysis - Southampton |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This course was run as part of a collaboration with ADRC_E and delivered by ClearMapping Company at Southampton University. The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It was one of three one-day training courses that could be taken separately or in conjunction with each other. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio & GeoDa software would give them the skills to prepare and analyse spatial data and understand how spatial data is managed in R. Numbers of delegates: 16 |
| Description | Confident Spatial Analysis and Statistics in R & GeoDa - 24/5/2019 |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. Course provides an understanding of how RStudio manages spatial data and be able to use RStudio for a range of spatial analysis. |
| Description | Confident Spatial Analysis and Statistics in R and GeoDa |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This one day course was delivered at the University of Liverpool in London and attended by practitioners from across local government and education. Feedback from the event was very positive, with delegates stating they felt more confident with their knowledge and use of RStudio and how to apply this to their work in order to successfully prepare and analyse spatial data. |
| Description | Confident spatial analysis using R and GeoDa - London |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio & GeoDa software would give them the skills to prepare and analyse spatial data and understand how spatial data is managed in R. Numbers of delegates: 15 |
| Description | Data analytics on Events Research Programme pilots in UK |
| Geographic Reach | National |
| Policy Influence Type | Contribution to new or Improved professional practice |
| Impact | Led to opening of large scale events safely to rest of UK (support economy through places that were previously unable to run events). Submission of evidence on attitudes to COVID-19 passports led to introduction of passports as policy in England and UK (announced 16th July). |
| Description | Data for Future High Streets Report |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Contribution to new or improved professional practice |
| Impact | Better use of data within Camden Council. |
| URL | https://www.ucl.ac.uk/enterprise/case-studies/2022/oct/ucl-and-camden-work-together-re-imagine-high-... |
| Description | Empty housing innovation lab |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The Empty Housing Innovation Lab was hosted in collaboration with the Student Data Labs. The aim was for attendees to suggest solutions to London's housing crisis using data provided by the CDRC. The event generated a lot of interest and a number of interesting suggestions were generated. We subsequently had a number of enquiries from postgraduate students in particular wanting to utilise our data in their own research. Number of delegates: +20 |
| Description | Evaluating Linkage Quality for the Analysis of Linked Data |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This one day course was hosted at the University of Oxford for the first time due to popular demand garnered through word of mouth and social media. Arranged jointly with the Administrative Data Research Centre England (ADRC-E) the course was attended by practitioners from across local government and education. Feedback was very positive, with delegates stating they felt more confident with their knowledge of data linkage and how best to evaluate the quality of data when conducting their own research. |
| Description | Gave evidence to Goldacre review (Department of Health and Social Care) on use of health data |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| Description | Gave evidence to the Department of Health and Social Care's 'Goldacre review' |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| Description | Health Indicators used by Public Health England |
| Geographic Reach | National |
| Policy Influence Type | Citation in other policy documents |
| URL | https://fingertips.phe.org.uk/profile/wider-determinants/data#page/3/gid/1938133043/pat/6/par/E12000... |
| Description | Home Office Research Methods Briefing |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | By providing an overview of methods that I use in my research practice, I have broaden the knowledge of research methods for Home Office data analysts. |
| Description | Influence on retail sector policy: UK |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Impact | Participation in ministerial round table on the future of UK High Streets. |
| Description | Influence on retail sector real estate investment, Europe |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | Co-director of training programme for high potential retail managers in which my expertise on 'consumer data' and changes in the nature of retail real estate is used to create project outcomes for the participants which will affect their future decision-making in their businesses. This programme is now in its 12th year. |
| URL | http://www.oxfordsummerschool.co.uk/masters |
| Description | Influence on retail sector real estate investment, UK |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | Achieved through the delivery of research findings in an annual 3-day residential training course provided to retail practitioners from the UK, Europe, North America and Asia. This programme is now in its 31st year. |
| URL | http://www.sbs.ox.ac.uk/faculty-research/oxirm/workshops-and-training/rla |
| Description | Influence on retail sector strategy, UK Department of Business |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Description | Intermediate R for Spatial Analysis - Liverpool |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT training course was open to people working in the public and private sectors as well as academics and private individuals. It was attended by people from xxx, university researchers and students. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio & GeoDa software would give them the skills to prepare and analyse spatial data and understand how spatial data is managed in R. Numbers of delegates: 15 |
| Description | Introduction to Data Linkage |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This one day course was hosted at the University of Oxford for the first time due to popular demand garnered through word of mouth and social media. Arranged jointly with the Administrative Data Research Centre England (ADRC-E) the course was attended by practitioners from across local government and education. Feedback was very positive, with delegates stating they felt more confident with their knowledge of data linkage and how to apply this practically to research. This was a one-day course, with the opportunity to register for a follow up course in order to develop the skills gained further; uptake for the second course was high. |
| Description | Introduction to Python |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals - by introducing them to the nascent field of Geographic Data Science using the industry standard, the Python programming language - would supply them with useful strategies to learn more from their spatial data. This would give them the skills to solve practical problems with spatial data (e.g. design, manipulation, exploration, and modelling). Numbers of delegates: 8 |
| Description | Introduction to QGIS: Understanding and Presenting Spatial Data - Liverpool |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals to make more effective use of their data using the free open source GIS program QGIS software would give them the skills to import and display spatial data, create choropleth maps and explain appropriate methods of visualising spatial data. Numbers of delegates: 9 |
| Description | Introduction to QGIS: Understanding and Presenting Spatial Data - Liverpool |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals.It can be inferred that the upskilIing of individuals to make more effective use of their data using the free open source GIS program QGIS software would give them the skills to import and display spatial data, create choropleth maps and explain appropriate methods of visualising spatial data. Numbers of delegates: 13 |
| Description | Introduction to QGIS: Understanding and Presenting Spatial Data - London |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals to make more effective use of their data using the free open source GIS program QGIS software would give them the skills to import and display spatial data, create choropleth maps and explain appropriate methods of visualising spatial data. Numbers of delegates: 2 |
| Description | Introduction to QGIS: Understanding and presenting spatial data - Liverpool |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It was attended by people from Food Standards Agency, Rochdale Borough council, Cardiff Harbour Authority, Health and Safety Executive, Epic Housing, Wellcome Trust Centre and university researchers and students. It can be inferred that the upskilIing of individuals to make more effective use of their data using the free open source GIS program QGIS software would give them the skills to import and display spatial data, create choropleth maps and explain appropriate methods of visualising spatial data. Numbers of delegates: 16 |
| Description | Introduction to QGIS: Understanding and presenting spatial data - London |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This course was run as part of a collaboration with ADRC_E and delivered by ClearMapping Company at UCL. The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It was one of three one-day training courses that could be taken separately or in conjunction with each other. It can be inferred that the upskilIing of individuals to make more effective use of their data using the free open source GIS program QGIS software would give them the skills to import and display spatial data, create choropleth maps and explain appropriate methods of visualising spatial data. Numbers of delegates: 19 |
| Description | Introduction to QGIS: Understanding and presenting spatial data - London |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals to make more effective use of their data using the free open source GIS program QGIS software would give them the skills to import and display spatial data, create choropleth maps and explain appropriate methods of visualising spatial data. Numbers of delegates: 10 |
| Description | Introduction to QGIS: Understanding and presenting spatial data - Southampton |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This course was run as part of a collaboration with ADRC_E and delivered by ClearMapping Company at Southampton University. The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It was one of three one-day training courses that could be taken separately or in conjunction with each other. It can be inferred that the upskilIing of individuals to make more effective use of their data using the free open source GIS program QGIS software would give them the skills to import and display spatial data, create choropleth maps and explain appropriate methods of visualising spatial data. Numbers of delegates: 14 |
| Description | Introduction to QGIS: understanding and presenting spatial data (28 January 2020) |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | One-day introductory course to give an overview of how GIS works, and what you can and can't do with spatial data. |
| Description | Introduction to Spatial Data & Using R as a GIS |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This short course was delivered at the University of Liverpool in London and attended by practitioners from across local government and education. Feedback from the event was very positive, with delegates stating they felt more confident with their knowledge and use of R and how to apply this to their work in order to successfully build a map from data. This was a one-day course, with the opportunity to register for a follow up course to develop the skills gained further; approximately 9 of the 15 delegates chose to pursue the follow up course. |
| Description | Introduction to Spatial Data & Using R as a GIS - London |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This course was run as part of a collaboration with ADRC_E and delivered by ClearMapping Company at UCL. The IT based training course was open to people working in the public and private sectors as well as academics and private individuals. It was one of two one-day training courses that could be taken separately or in conjunction with each other. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio software would give them the skills to load and manage spatial data, create maps, use classifications for choropleth maps, and create multiple maps using loops. Numbers of delegates: 24 |
| Description | Introduction to Spatial Data and Using R as a GIS, UCL London |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals to make more effective use of their data using the free open source GIS program QGIS software would give them the skills to import and display spatial data, create choropleth maps and explain appropriate methods of visualising spatial data. Numbers of delegates: 18 |
| Description | Introduction to Spatial Data and Using R as a GIS, University of Southampton |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. This course taught users how to use R to import, manage and process spatial data, it also covers the process of making choropleth maps, as well as some basic spatial analysis. In addition it covers the use of loops to make multiple maps quickly and easily, one of the major benefits of using a scripting language to make maps, rather than traditional graphic point-and-click interface. It can be inferred that the upskilIing of individuals to make more effective use of their data using the free open source GIS program QGIS software would give them the skills to import and display spatial data, create choropleth maps and explain appropriate methods of visualising spatial data. Numbers of delegates: 12 |
| Description | Introduction to Using R as a GIS - Liverpool |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio software would give them the skills to load and manage spatial data, create maps, use classifications for choropleth maps, and create multiple maps using loops. Numbers of delegates: 14 |
| Description | Introduction to Using R for Spatial Analysis - Liverpool |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals to make more effective use of their data using the free open source GIS program QGIS software would give them the skills to import and display spatial data, create choropleth maps and explain appropriate methods of visualising spatial data. Numbers of delegates: 10 |
| Description | Introduction to Using R for Spatial Analysis - Liverpool |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio software would give them the skills to load and manage spatial data, create maps, use classifications for choropleth maps, and create multiple maps using loops. Numbers of delegates: 15 |
| Description | Introduction to Using R for Spatial Analysis - London |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio software would give them the skills to load and manage spatial data, create maps, use classifications for choropleth maps, and create multiple maps using loops. Numbers of delegates: 5 |
| Description | Introduction to Using R for Spatial Analysis - London |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio software would give them the skills to load and manage spatial data, create maps, use classifications for choropleth maps, and create multiple maps using loops. Numbers of delegates: 17 |
| Description | Introduction to Using R for spatial analysis - Liverpool |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio software would give them the skills to load and manage spatial data, create maps, use classifications for choropleth maps, and create multiple maps using loops. Numbers of delegates: 15 |
| Description | Introduction to spatial data and using R as a GIS (13 March 2020) |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The training course was open to people working in the public and private sectors as well as academics and private individuals. The course provides an understanding of how to use R to import, manage and process spatial data. It also covers the process of making choropleth maps, as well as some basic spatial analysis. The use of loops to make multiple maps quickly and easily, one of the major benefits of using a scripting language to make maps, rather than tradition graphic point-and-click interface is also covered. |
| Description | Introduction to spatial data and using R as a GIS (14 January 2020) |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The training course was open to people working in the public and private sectors as well as academics and private individuals. The course provides an understanding of how to use R to import, manage and process spatial data. It also covers the process of making choropleth maps, as well as some basic spatial analysis. The use of loops to make multiple maps quickly and easily, one of the major benefits of using a scripting language to make maps, rather than tradition graphic point-and-click interface is also covered. |
| Description | Introduction to spatial data and using R as a GIS - Liverpool |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It was attended by people from British Geographical Survey, Health and Safety Executive, Public Health England, Epic Housing, and university researchers and students. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio software would give them the skills to load and manage spatial data, create maps, use classifications for choropleth maps, and create multiple maps using loops. Numbers of delegates: 16 |
| Description | Introduction to spatial data and using R as a GIS - London |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This course was run as part of a collaboration with ADRC_E and delivered by ClearMapping Company at UCL. The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It was one of three one-day training courses that could be taken separately or in conjunction with each other. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio software would give them the skills to load and manage spatial data, create maps, use classifications for choropleth maps, and create multiple maps using loops. Numbers of delegates: 22 |
| Description | Introduction to spatial data and using R as a GIS - Oxford |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT training course was open to people working in the public and private sectors as well as academics and private individuals. It was attended by people from the Food Standards Agency, Public Health England, Oxford City Council, Halliburton, Codename consulting, university researchers and students. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio software would give them the skills to load and manage spatial data, create maps, use classifications for choropleth maps, and create multiple maps using loops. We had an increase in interest following this training course for more advanced training of participating delegates. Numbers of delegates: 20 |
| Description | Introduction to spatial data and using R as a GIS - Southampton |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This course was run as part of a collaboration with ADRC_E and delivered by ClearMapping Company at Southampton University. The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It was one of three one-day training courses that could be taken separately or in conjunction with each other. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio software would give them the skills to load and manage spatial data, create maps, use classifications for choropleth maps, and create multiple maps using loops. Numbers of delegates: 26 |
| Description | Introduction to spatial data using R as a GIS - London |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals to make more effective use of their data using RStudio software would give them the skills to load and manage spatial data, create maps, use classifications for choropleth maps, and create multiple maps using loops. Numbers of delegates: 18 |
| Description | Joined an interview for the Connected Place Catapults - Innovating for a Pandemic Resilient Public Transport System (Feb 22, 2022) |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| Impact | It will transfer the policy of transport systems after pandemic |
| Description | LDC / CDRC Thought Leadership event |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This workshop was run as part of a collaboration between CDRC, Oxford Institute of Retail Management (OXIRM), Saïd Business School, University of Oxford and Local Data Company (LDC), a CDRC data partner. The workshop invited academics and practitioners working with LDC to discuss what a future research agenda might look like that works for both practitioners and academics. University research team share their findings with a mixed audience of academics and practitioners followed by a discussion of the practical implications of the work. It was also used to build awareness with LDC clients and other commercial stakeholders, showcase CDRC work in general, promote the Centre and encourage usage of the service. It was attended by people from Local Data Company, EE, Sainsburys, Luminar, NewRiver Retail, Boots, Legacy Portfolio, The Retail Practice, MindFolio, Lloyds Bank, Mitchells & Butlers, AO, Right Move, Segro, Bayfield Training, and university researchers. Number of delegates: 33 |
| Description | Letters to House of Lords supporting proposed amendments by the Royal Statistical Society to the Digital Economy Bill |
| Geographic Reach | National |
| Policy Influence Type | Implementation circular/rapid advice/letter to e.g. Ministry of Health |
| Description | Lloyds of London |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | Advised on the training needs and opportunities for employees at Lloyds of London. |
| Description | London Fire Brigade |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | A MSc study has been conducted to evaluate the best for fire engine in London by using their GPS tracks and the fire incident data. |
| Description | London First - Opportunity Areas Report |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Citation in other policy documents |
| Description | Marketing development of Bosch |
| Geographic Reach | National |
| Policy Influence Type | Implementation circular/rapid advice/letter to e.g. Ministry of Health |
| Impact | We analyse the market segmentations of their products associated with house tenures, which will help them to define marketing strategies |
| Description | Member of Advisory Panel on Public Sector Information (APPSI) |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Impact | APPSI's statutory function is to consider and review recommendations made by the Office of Public Sector Information, following a complaint made under the Re-Use of Public Sector Information Regulations 2005. Paul was an independent member of the Advisory Panel and provided innovative input on ways to re-use public sector information and address concerns raised by the public. |
| Description | Most downloaded National Centre for Research Methods ePrint |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | http://eprints.ncrm.ac.uk/3295/ |
| Description | Online training resource: An Introduction to Spatial Data Analysis and Visualisation in R |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The CDRC launched an 'Online Tutorials' facility in 2017. The tutorial series provides a free online resource introducing techniques for handling, analysing and visualising data. Key target audiences are academics, researchers, data scientists and industry specialists, amongst others - although the scope of the resource itself extends to international audiences from various fields, as made apparent by CDRC's analytics. The first tutorial - 'An Introduction to Spatial Data Analysis and Visualisation in R' - has generated almost 30000 views. |
| URL | https://data.cdrc.ac.uk/tutorial/an-introduction-to-spatial-data-analysis-and-visualisation-in-r |
| Description | Online training resource: Geographic Data Science in Python |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://data.cdrc.ac.uk/tutorial/geographic-data-science-in-python |
| Description | Oxford Retail Futures Conference 2018: Understanding outcomes of data-driven research in retailing |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This conference was run as part of a collaboration with Oxford Institute of Retail Management (OXIRM), Saïd Business School, University of Oxford. The conference invites academic researchers to present their latest research. Topics are organised in a number of panels, and a Q&A / discussion is facilitated by a dedicated host after each panel session. This established annual conference was harvested to promote the Centre and encourage usage of its data and services. Conference contributions included research from six European countries (The Netherlands, Switzerland, Finland, Italy, Portugal and UK), with delegates from academia and business with a wide range of backgrounds attending (including economics, geography, urban planning, marketing and behavioural science). This year's delegates included people from claranet, pgw Ltd, university researchers and students. Numbers of delegates: 34 |
| Description | Oxford Retail Futures Conference: Public Policy in Retail and Supply Chain Management |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This conference was run as part of a collaboration with Oxford Institute of Retail Management (OXIRM), Saïd Business School, University of Oxford. The conference invites academic researchers to present their latest research. Topics are organised in a number of panels, and a Q&A / discussion is facilitated by a dedicated host after each panel session. This established annual conference is harvested to promote the Centre and encourage usage of its data and services. This year's delegates included people from PGW, Blackstone Gates, Dinalog, Blogres, university researchers and students. Numbers of delegates: 34 |
| Description | Oxford Retail Futures Conference: The changing role of place in a digital world |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This conference was run as part of a collaboration with Oxford Institute of Retail Management (OXIRM), Saïd Business School, University of Oxford. The conference invites academic researchers to present their latest research. Topics are organised in a number of panels, and a Q&A / discussion is facilitated by a dedicated host after each panel session. This established annual conference is harvested to promote the Centre and encourage usage of its data and services. This year's delegates included people from Hema, PGW, Couvenda, ECE Projektmanagement, CBRE Global Investors, university researchers and students. Number of delegates: 48 |
| Description | Parking Tickets in Camden Council |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Contribution to a national consultation/review |
| Impact | We highlighted the parking tickets hot spots and their trends, which has high impact of the councils' income |
| Description | Practical Data Science with Python |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The one day course was delivered at the University of Liverpool in London and attended by practitioners from across the fields of local government and education. Feedback from the event was very positive, with delegates stating they felt more confident with their knowledge and use of data science/python and how to apply it to modern industry. |
| Description | Predictive Policing |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The tools generated by the Crime, Policing and Citizenship has been in trail with Metropolitan Police. The predictive crime heatmap will be used by London police force, and is in trail with Kent Police |
| Description | Provided data analytics in the trialling of lateral flow tests in Liverpool, 2020-201 |
| Geographic Reach | National |
| Policy Influence Type | Contribution to new or Improved professional practice |
| Impact | Allowed effective use in the expansion of testing to rest of UK, leading to lateral flow tests being a key part of the UK's response to managing the pandemic. Improved targeting of test sites improved accessibility to test sites in Liverpool. |
| Description | Provided evidence and bespoke data analysis to GO-Science report to SAGE on COVID-19 infections among women aged 20-40 |
| Geographic Reach | National |
| Policy Influence Type | Citation in other policy documents |
| Description | Provided expert insight to central government policy report on geospatial data in transport sector |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| Impact | The overview of academic research we collaborated on was used to provide a range of teams within HM Government with a summary of expert insights on the transport use cases for geospatial data. The teams who benefited from the overview said that it had changed the way they thought about the policy area, and will feed into internal policy papers and most likely a gov.uk publication in the future. |
| Description | Public Health England |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| Impact | MSc projects working with Public Health England (PHE) to evaluate the impact of social media on sexual health campaign. It founds that community tweets has powerful influence of the campaign. This will provide guide to PHE to better arrange the campaign which may increase in survival and quality of life if more people join the HVI test during the campaign week. |
| Description | Public Health England on their sexual health campain |
| Geographic Reach | National |
| Policy Influence Type | Implementation circular/rapid advice/letter to e.g. Ministry of Health |
| Impact | WE examined the impact of PHE's health campaign via social media, suggesting the high impacts coming from community twitter account owner |
| Description | Retail Futures Conference: Data analytics (2016) |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This conference was run as part of a collaboration with Oxford Institute of Retail Management (OXIRM), Saïd Business School, University of Oxford. The conference invites academic researchers to present their latest research. Topics are organised in a number of panels, and a Q&A / discussion is facilitated by a dedicated host after each panel session. This established annual conference is harvested to promote the Centre and encourage usage of its data and services. This year's delegates included people from Mindshare UK, Walgreens Boots Alliance, pgw Ltd., GI Solutions Group, university researchers and students. Numbers of delegates: 21 |
| Description | The British Academy and Royal Society Call for Evidence Data Governance |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| Description | The Retail Leaders Forum |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | This workshop was run as part of a collaboration between CDRC, Oxford Institute of Retail Management (OXIRM), Saïd Business School, University of Oxford and Local Data Company (LDC), a CDRC data partner. The workshop invited academics and practitioners to discuss what a future research agenda might look like that works for both practitioners and academics University research team share their findings with a mixed audience of academics and practitioners followed by a discussion of the practical implications of the work. It was also used to showcase CDRC work in general, promote the Centre and encourage usage of the service. The workshop attended by people from Local Data Company, LEON, Tesco, Dixons Carphone, Pizza Hut, Tristan Capital Partners, Peel, British Land, PwC, The Retail Practice, Revo, Clarks, Mitchells and Butlers, NewRiver, Maybe*, Barbour ABI and university researchers. Number of delegates: 29 |
| Description | UK Open Data Mission to Taiwan |
| Geographic Reach | Europe |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Impact | In order to further strengthen exchanges and practical collaborations between the UK and Taiwan, the UK's Open Data Institute (ODI) is leading a six-member mission to Taiwan on 18 March to 20 March. The mission will build upon the letter of intent to work together on open data collaboration signed in December 2013 between the ODI and Taiwan's Open Data Alliance. Organised by the British Trade & Cultural Office (BTCO), the UK Open Data mission consists of start-up open data companies and researchers who meet with key stakeholders in Taiwan and host the "Taiwan-UK Open Data Summit" at the GIS Taipei Tech Convention Centre in Taipei tomorrow (19 March) in collaboration with Industrial Development Bureau of the Ministry of Economic Affairs and the Taipei Computer Association. The latest Open Data developments, covering policy, research and commercial applications will be addressed at the Summit. |
| URL | https://www.gov.uk/government/world-location-news/uk-open-data-mission-visits-taiwan |
| Description | Using Spatial Data from Social Media |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals on how best to show and analyse Twitter data in a GIS would be a great resource for research in a wide range of different social science areas. Numbers of delegates: 13 |
| Description | Webmapping |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The IT Lab-based training course was open to people working in the public and private sectors as well as academics and private individuals. It can be inferred that the upskilIing of individuals to make more effective use of their data using the MapBox would give them the skills to display and better communicate spatial information. Numbers of delegates: 9 |
| Description | APSA Travel Grant |
| Amount | $250 (USD) |
| Organisation | American Political Science Association |
| Sector | Charity/Non Profit |
| Country | United States |
| Start | 07/2017 |
| End | 08/2017 |
| Description | Additional Capital Funding - Northern Regional Data Facility |
| Amount | £309,681 (GBP) |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2016 |
| End | 02/2019 |
| Description | Bartlett Innovation Fund |
| Amount | £10,000 (GBP) |
| Organisation | University College London |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 04/2018 |
| End | 07/2018 |
| Description | DigitalFootprint Data service |
| Amount | £1,764,007 (GBP) |
| Funding ID | ES/L011840/1 |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2022 |
| End | 09/2024 |
| Description | ESRC |
| Amount | £1,105,920 (GBP) |
| Funding ID | ES/L011840/1 |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2020 |
| End | 04/2022 |
| Description | ESRC Big Data Network Phase 3 Research Grants |
| Amount | £157,905 (GBP) |
| Funding ID | ES/P010741/1 |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2017 |
| End | 02/2018 |
| Description | ESRC UCL, Bloomsbury and East London Doctoral Training Partnership: 2 Co-funded studentships |
| Amount | £107,000 (GBP) |
| Organisation | University College London |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 08/2018 |
| End | 09/2021 |
| Description | ESRC additional capital funding 2016 |
| Amount | £301,680 (GBP) |
| Funding ID | ES/L011840/1 |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2016 |
| End | 03/2016 |
| Description | Mobility Data Uplift |
| Amount | £182,499 (GBP) |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2022 |
| End | 09/2024 |
| Description | New visualization methods for profiling datasets and analysis pipelines |
| Amount | £10,500 (GBP) |
| Organisation | Alan Turing Institute |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 01/2019 |
| End | 07/2019 |
| Description | PhD Enrichment Scheme |
| Amount | £732 (GBP) |
| Organisation | Alan Turing Institute |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 01/2019 |
| End | 09/2019 |
| Description | Prototype Project: Landslide susceptibility mapping in data-poor environments |
| Amount | £9,587 (GBP) |
| Organisation | Economic and Social Research Council |
| Department | ESRC-DFID Joint Fund |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2015 |
| End | 05/2015 |
| Description | Q-Step Transition Funding. Nuffield Foundation funding to continue the successful UCL Q-Step Centre. |
| Amount | £120,000 (GBP) |
| Organisation | Nuffield Foundation |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | |
| Description | Retail Business Datasafe |
| Amount | £1,105,921 (GBP) |
| Funding ID | ES/L011840/1 |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2020 |
| End | 04/2022 |
| Description | Retail Business Datasafe |
| Amount | £7,635,199 (GBP) |
| Funding ID | ES/L011840/1 |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2014 |
| End | 11/2020 |
| Description | Sea and Currents Fund' for initiatives with global partners 2016 |
| Amount | B/.3,000 (PAB) |
| Funding ID | 156780 |
| Organisation | University College London |
| Department | UCL Global Engagement Office |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 05/2016 |
| End | 09/2016 |
| Description | The Mead Fund |
| Amount | £350 (GBP) |
| Organisation | University College London |
| Department | Department of Geography |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 03/2017 |
| End | 03/2017 |
| Description | UCL Research Catalyst Awards |
| Amount | £1,480 (GBP) |
| Organisation | University College London |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 08/2017 |
| End | 09/2017 |
| Description | Understanding the geography of opportunities, challenges and need in an aged population |
| Amount | £168,234 (GBP) |
| Funding ID | WEL/44091 |
| Organisation | Nuffield Foundation |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 04/2020 |
| End | 04/2022 |
| Description | Women In Machine Learning Workshop |
| Amount | $750 (USD) |
| Organisation | Women In Machine Learning |
| Sector | Charity/Non Profit |
| Country | United States |
| Start | 12/2017 |
| End | 12/2017 |
| Description | Women In Machine Learning Workshop |
| Amount | $300 (USD) |
| Organisation | Women In Machine Learning |
| Sector | Charity/Non Profit |
| Country | United States |
| Start | 12/2016 |
| End | 12/2016 |
| Description | Yusuf Ali Travel Bursary |
| Amount | £600 (GBP) |
| Organisation | University College London |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 05/2017 |
| End | 07/2017 |
| Title | A deep learning approach to infer employment status of passengers by using smart card data |
| Description | A deep learning architecture, called a thresholding multi-channel convolutional neural network, was developed to predict an individual's employment status from their oyster card data |
| Type Of Material | Model of mechanisms or symptoms - human |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | This method has been used to analyse demographic profiles |
| URL | https://ieeexplore.ieee.org/document/8645820 |
| Title | Accessibility Estimator |
| Description | The accssibility estimator provides codes and detailed descriptions of steps to measure dynamic public transport accessibility to a range of urban services at high temporal and spatial resolutions. The tool builds on and links existing Open Source tools including OneBusAway GTFS converter (https://github.com/OneBusAway/onebusaway-uk), OpenStreetMap (https://www.openstreetmap.org), Python geospatial libraries and the OpenTripPlanner (see http://www.opentripplanner.org/) routing engine. Our solution accepts commonly used UK-wide administrative datasets as input data, notably ATCO-CIF bus timetables, Ordnance Survey ITN transport network data, OS Points of Interest and NAPTAN databases. As a result, our accessibility estimator provide a novel, integrated processing solution tailored to the data and resarch environment of UK transport authorities, thus adding value to existing research infrastructure. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Using the accessibility estimator, we were able to develop the first dynamic accessibility measures for the West Midlands Combined Authority (WMCA). Such measures are valuable for transport planning and urban research and were received by our partners, Transport for West Midlands, with great interest. The work is transferable to most other UK transport authorities, which operate within very similar data and research environments. We are hoping to extend this work to develop further, policy-relevant and novel indicators measuring accessibility vis-a-vis mobility needs in a dynamic way. |
| URL | https://github.com/ESRC-CDRC/ihm_accessibility/wiki |
| Title | ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs |
| Description | ActivityNET, using Machine Learning (ML) algorithms to predict passengers' trip purpose from Smart Card (SC) data and Points-of-Interest (POIs) data. |
| Type Of Material | Model of mechanisms or symptoms - human |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | The method are used in the team. |
| URL | https://www.tandfonline.com/doi/full/10.1080/10095020.2021.1985943 |
| Title | Data linkage pilot |
| Description | A github repository documenting the steps and data needs to link smartcard data transactions recorded according to the UK-wide ITCO format. Using this repository, it will be possible for the first time to turn ITCO public transport smartcard transaction data into research resources under certain conditions, adding value to exisiting research infrastructures held by transport authorities. The repository is a pilot and consitutes a first step towards potentially generating a robust, generalisable and scalable toolset to process 'big' smartcard data over long time horizons for research purposes. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | The pilot framework enabled us to model origin-destination flows of different types of bus passengers at different times of the day over a period of 2.5 years. This model informed our partners, Transport for West Midlands (TfWM), about the detailed usage of the concessionary scheme for the region's public transport network and contextualise part of the observed decline in bus patronage. TfWM had not been able to analyse the data in this way before due to the absence of such methods. The pilot is transferable to other UK transport authorities collecting data under the ITCO format to help them understand trends in public transport patronage. |
| URL | https://github.com/jktulu/ihm_transit_data_linkage/wiki |
| Title | Graph Deep Learning for Crime Incident Hotspot Prediction |
| Description | First deep learning method to predict crime hotspot on road networks |
| Type Of Material | Model of mechanisms or symptoms - human |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | The method has been used to predict other incidents such as fire and traffic. |
| URL | https://doi.org/10.1016/j.compenvurbsys.2019.101403 |
| Title | Graph Deep Learning for Traffic Prediction |
| Description | A deep learning method to prediction traffic flow and speed on road networks |
| Type Of Material | Model of mechanisms or symptoms - human |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | This could be used in transport management system for real-time traffic prediction |
| URL | https://doi.org/10.1111/mice.12450 |
| Title | Profiling urban places using social media data |
| Description | We develop a framework to derive name, boundaries and functions of urban space based upon geotagged social media data to improve the understanding of urban space |
| Type Of Material | Model of mechanisms or symptoms - human |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | This can be used for targeted advertisement |
| URL | https://www.tandfonline.com/doi/full/10.1080/19475683.2017.1382571 |
| Title | A classification of Multi-dimensional Open Data of Urban Morphology (MODUM) |
| Description | The MODUM classification is a national classification for England and Wales at the Output Area level (2011 Census Geography), describing the typology of neighbourhoods based on a number of built environment and urban morphology attributes. The classification groups neighbourhoods into 8 distinct clusters, each described by a pen portrait. More details can be found in the relevant academic paper (Alexiou, A., Singleton, A., and Longley, P.A., 2016. A Classification of Multidimensional Open Data for Urban Morphology. Built Environment, Volume 42:3, pp. 382-395). The development of MODUM illustrates that the production and analysis of a classification using Big and Open data can offer unique insights into some aspects of geodemographic structure of urban areas. The results capture through the multidimensionality of the data both microscopic and macroscopic identifiers of urban morphology. It is currently freely available to download through the Consumer Data Research Centre website. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Following the publication, a number of potential users have been interested in the product in the past, which they acquired through personal communication. Purposes vary, but most commonly the classification would be used as a simplified structure of the physical properties of geographic space that can be used to explore correlations with other spatial phenomena, potentially in a variety of applications, from real estate and house prices to health and wellbeing. Since it has been made available online, it could be used by urban planners and investors in the built environment to identify the areas in which the physical preconditions exist for neighbourhood renewal or upscaling, although individual impacts would be difficult to identify. |
| URL | https://data.cdrc.ac.uk/dataset/cdrc-2016-classification-of-multidimensional-open-data-for-urban-mor... |
| Title | Address Matching software |
| Description | Creation of an Address Matching Module, implemented in Python, that takes as input different addresses and tries to identify addresses that are most likely similar but only differ in terms of formatting. The model uses a set of deterministic as well as fuzzy matching rules to achieve this. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The Address Matching modules have been used to create the updated Linked Consumer Register (1997 - 2020). |
| URL | https://github.com/ESRC-CDRC/consumerreg/tree/master/register_linkage/registers |
| Title | Airbnb Property Rentals and Reviews (supplied by AirDNA) |
| Description | This data profile describes a dataset held by the CDRC which has been supplied by AirDNA LLC. AirDNA provides data and analytics to vacation rental entrepreneurs and investors. By tracking the daily performance of over 4.5 million listings across 60,000 markets worldwide, AirDNA presents market reports and other data products that feature occupancy rates, seasonal demand, and revenue generated by short-term rentals. The dataset includes: Total historical data (monthly and daily listing performance) for London, UK and Leeds, UK Total host data for London, UK and Leeds, UK Property data for London, UK and Leeds, UK Total review data for London, UK and Leeds, UK Access is available on application through the CDRC. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Data being using by one project and 2 projects are in the application process. |
| URL | https://data.cdrc.ac.uk/dataset/airbnb-property-rentals-and-reviews-supplied-airdna |
| Title | Appliances Online Retail Data |
| Description | Appliances Online consumer, product, delivery and transaction data available for the period Jan 2013-Feb 2016, national coverage. This data product includes 3 controlled and 1 safeguarded dataset and is available on application through the CDRC. A CDRC created Data Profile is also available. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | These data have been used in the CDRC Internet User Classification 2018. 3 initial applications received - 1 approved, 2 withdrawn/rejected (as of 14/2/19). |
| URL | https://data.cdrc.ac.uk/dataset/appliances-online-delivery-data |
| Title | Appliances Online Transaction Data |
| Description | Appliances Online transaction data are provided at the MSOA level for England and Wales and Intermediate Zone level for Scotland. The data provides information about total transaction frequencies and total transactions by both product category and time band for the period Jan 2013 - Feb 2016. This data is available through an application to the CDRC |
| Type Of Material | Database/Collection of data |
| Year Produced | 2015 |
| Provided To Others? | Yes |
| Impact | This data set has had 5 initial applications, with 3 completed and 2 in progress. |
| URL | https://data.cdrc.ac.uk/dataset/appliances-online-transaction-data |
| Title | BT Historical Phone Directories Dataset |
| Description | Dataset containing scanned images of BT phone directories from 1881 to 1984. |
| Type Of Material | Data analysis technique |
| Year Produced | 2022 |
| Provided To Others? | No |
| Impact | Scanned acquired, currently preparing the research ready dataset containing name surname, address and telephone numbers of UK residents from 1881 to 1984. We have selected a list of of phone directories for the census decennial years and developed a pipeline for the conversion from scn to text files (OCR) and the cleaning of the text results and formatting into tabular form |
| Title | British Population Survey |
| Description | British Population Survey (BPS), face to face market research surveys taken monthly from 2008-2015 with 6000-8000 records a month covering internet use; supermarket preference and geodemographics. Available at unit postcode and LSOA. This data product includes 1 controlled and 1 safeguarded dataset and is available on application through the CDRC. A CDRC created Data Profile is also available. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | These data have been used in the CDRC Internet User Classification 2018. 12 initial applications received - 2 completed, 2 applications in progress, 2 applications not started, 1 application rejected, 1 application waiting for full proposal, 4 withdrawn. |
| URL | https://data.cdrc.ac.uk/product/british-population-survey |
| Title | Broadband Speed |
| Description | This data includes the average fixed-line broadband speed by output area, based on 2016, 2017 and 2018 data released by Ofcom. The source data file is linked below. Data files include measures of data coverage and performance. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | No applications received to date. |
| URL | http://data.cdrc.ac.uk/dataset/broadband-speed |
| Title | CACI |
| Description | Consumer registers including names and addresses of adults in the UK annually 2014 - 2018. This data product includes 1 controlled dataset and is available on application through the CDRC. A CDRC created Data Profile is also available (NDA required). This product is nolonger available through the CDRC service but has been incorporated into the Linked Consumer Registers product. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | Data used to create CDRC indexes on stability and churn. Data being used by 1 CDRC PhD student. 3 initial applications received - 2 now completed, (1 withdrawn as of 14/2/19). Data nolonger available to CDRC users, replaced with the Linked Consumer Registers product which incorporates these data. |
| URL | https://data.cdrc.ac.uk/product/linked-consumer-registers |
| Title | CDRC 2011 Output Area Classification (OAC) Geodata Pack |
| Description | The 2011 Area Classification for Output Areas (2011 OAC) is a UK geodemographic classification produced as a collaboration between the Office for National Statistics and University of Liverpool. This geodata pack contains 484 datasets. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2015 |
| Provided To Others? | Yes |
| Impact | For further information regarding the 2011 OAC please visit: http://www.ons.gov.uk/ons/guide-method/geography/products/area-classifications/ns-area-classifications/ns-2011-area-classifications/index.html or http://www.opengeodemographics.com OAC is available as a CDRC interactive map at https://maps.cdrc.ac.uk/#/geodemographics/oac11/default/BTTTFTT/10/-0.1500/51.5200/ OAC has been downloaded 3,194 times (Oct 2015 - Feb 2018). Local authorities across the UK also make use of this classification. This is evident by CDRC's web traffic statistics. |
| URL | https://data.cdrc.ac.uk/dataset/cdrc-2011-oac-geodata-pack-uk |
| Title | CDRC 2014 Internet User Classification (IUC) Geodata Pack |
| Description | The 2014 Internet User Classification (IUC) is a UK geodemographic of Internet use and engagement. This geodata pack contains 327 datasets. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2015 |
| Provided To Others? | Yes |
| Impact | IUC 2014 is available as an interactive map at https://maps.cdrc.ac.uk/#/geodemographics/iuc14/default/BTTTFTT/10/-0.1500/51.5200/ The IUC 2014 has been downloaded 1,342 times (Oct 2015 - Feb 2018). The IUC is used by a number of CDRC data partners in modelling of consumer behaviour, development of a data partner organisation tailored version of the IUC is scheduled for April 2018 and will have the value demonstrated through a live application within the organisation. |
| Title | CDRC Estimated Change in the Rateable Value of Retail Premises |
| Description | These data provide the output of a model that explores the variable impact of the recession on current retail business rates. Regionally adjusted values are presented at the local authority scale for England; alongside retail centre adjusted values for a series of case study locations. These data were generated for a report produced in collaboration with the Local Data Company. Ancillary data used within the model were supplied by the Valuation Office Agency and Colliers International Ltd. This data product contains 1 dataset. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2015 |
| Provided To Others? | Yes |
| Impact | This dataset has been downloaded 182 (Oct 2015 - Feb 2018) |
| URL | https://data.cdrc.ac.uk/dataset/cdrc-estimated-change-in-the-rateable-value-of-retail-premises |
| Title | CDRC Individual Income Estimates (PAYE) |
| Description | This geodata pack provides the individual income from Pay As You Earn (PAYE) and benefits for tax year ending 2016. This geodata pack contains 92 datasets. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | These data have been created to use in the Internet User Classification 2018. This dataset has been downloaded 15 times (during Feb 2018). |
| URL | https://data.cdrc.ac.uk/product/cdrc-individual-income-estimates-paye |
| Title | CDRC Internet User Mapbook |
| Description | This geodata pack provides estimates of Internet engagement.The estimates were derived from the 2013 Oxford Internet Survey and created in collaboration with the Oxford Internet Institute. This geodata pack contains 326 datasets. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2015 |
| Provided To Others? | Yes |
| Impact | Singleton, A.D., Riddlesden, D., Blank, G., Graham, M. (2015) Internet User Map Book. University of Liverpool: Consumer Data Research Centre (CDRC). The Internet User Mapbook has been downloaded 252 times (Oct 2015 - Feb 2018). |
| URL | https://data.cdrc.ac.uk/product/cdrc-internet-user-mapbook |
| Title | CDRC Linked Consumer Registers (1997-2016) |
| Description | The linked consumer registers created by the CDRC contain the names and addresses for adults in the UK in annual snapshots between 1997 and 2017. They are compiled from reported outputs from linking public versions of the electoral roll and consumer registers (supplied by DataTalk and CACI). The data represent a near-complete coverage of the adult population at an individual level. This is a controlled data product available upon application. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | No applications received to date |
| URL | https://data.cdrc.ac.uk/dataset/linked-consumer-registers-1997-2016 |
| Title | CDRC Maps |
| Description | CDRC Maps is a data visualisation tool using open data available through the CDRC Datastore. As of 31st Dec 2018 115 maps on geodemographics, indicators and metrics are available through this open data service. |
| Type Of Material | Data analysis technique |
| Year Produced | 2015 |
| Provided To Others? | Yes |
| Impact | CDRC Maps has had 200,945 visitors and 583,184 page views since its launch (to 31st Dec 2018) and maps have appeared in a number of national, regional and online media. |
| URL | https://maps.cdrc.ac.uk |
| Title | CDRC Modelled Ethnicity Proportions (LSOA Geography) |
| Description | This dataset created by the CDRC combines historical electoral roll and consumer register data (on surnames, forenames and locations) between 1997 and 2020 with a special aggregated metric derived from ONS data which lists the most frequently selected second-level ethnicity category for most common forenames and surnames. This is a safeguarded data product available upon application. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Currently there are 9 initial applications, with 23 completed with the data in use. Additionally 1 is currently in review, 2 were rejected and 19 were withdrawn. |
| URL | https://data.cdrc.ac.uk/dataset/cdrc-modelled-ethnicity-proportions-lsoa-geography |
| Title | CDRC Modelled Ethnicity Proportions 1997-2016 |
| Description | This dataset created by the CDRC combines historical electoral roll and consumer register data (on surnames, forenames and locations) between 1997 and 2016 with a special aggregated metric derived from ONS data which lists the most frequently selected second-level ethnicity category for most common forenames and surnames. This is a safeguarded data product available upon application. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Since product launched in September 2018 9 initial applications have been received (6 underway, 2 are in progress and 1 withdrawn (as at 26/2/19)). Used in 10 applications. |
| URL | https://data.cdrc.ac.uk/dataset/modelled-ethnicity-proportions |
| Title | CDRC Retail Centres and Catchments |
| Description | This CDRC created set of 7 datasets contains data on retail centre boundaries; retail centre centroids, retail centre comparison catchments, retail centre convenience catchments, maps pre and post recession town centre statistics, maps retail centre locations 2004 and retail centre typology 2018. These were created using an innovative new methodology that utilises data extracts supplied by the Local Data Company (LDC). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | These data have been used to create the CDRC Retail Areas and Catchments Indicator. The catchment boundaries are in use by the Local Data Company (LDC) and integrated into their modelling platform. The code used to define the retail centre boundaries was used by countdown supermarkets in New Zealand. |
| URL | https://data.cdrc.ac.uk/product/cdrc-retail-centres-and-catchments |
| Title | CDRC SmartStreetSensor Atlas |
| Description | The SmartStreetSensor Footfall Atlas is a CDRC derived product based on the Local Data Company - UCL SmartStreetSensor Footfall Data. The Atlas contains information about every sensor installed by LDC in the UK since July 2015 until 31st December 2017 along with relevant metadata for the network of sensors. This data product includes 1 safeguarded dataset and is available on application through the CDRC. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | 2 applications received and withdrawn. |
| URL | https://data.cdrc.ac.uk/product/smartstreetsensor-footfall-atlas |
| Title | CDRC Value Added Open Data Products |
| Description | CDRC have added value to a range of open datasets for our stakeholders to access. Twenty seven products have been created containing 8624 datasets. These include: Borders Geodata CDRC 2011 Census Data Packs CDRC 2011 Census Data Packs for Northern Ireland CDRC 2011 Census Data Packs for Scotland CDRC 2011 Census Open Atlas CDRC 2011 Residence-Workplace Geodata Pack CDRC 2011 Transport Map Book CDRC 2015 Energy Estimate Geodata Pack CDRC 2015 Flooding Risk CDRC 2015 OS Geodata Pack CDRC 2017 OS Open Greenspace Geodata Pack CDRC Council Tax Bands CDRC Fixed Broadband and Network Infrastructure CDRC Index of Multiple Deprivation Data Packs CDRC Mid-Year Population Estimates CDRC Outstanding Residential Mortgage Lending by Postcode Lending by Postcode Sector CDRC Price Paid Data per Property Type at the LSOA scale CDRC Wifi Hotspots Child Health Electricity Domestic Consumption Energy Performance Certificates (EPC): Ratings by Output Area Gas Domestic Consumption Life Exectancy OS Open Map - Local Population Open Data Top Metrics Transport in London |
| Type Of Material | Database/Collection of data |
| Year Produced | 2015 |
| Provided To Others? | Yes |
| Impact | CDRC Open Data service have 13,627 registered users (as at 31st Dec 2018) and data has been downloaded 250,531 times (including CDRC Value Added, CDRC created data products and online tutorials) |
| URL | https://data.cdrc.ac.uk/ |
| Title | CGA 2017 Alcohol on trade outlet index and volume estimations |
| Description | The CGA datasets contain details of alcohol on trade premises along with volume estimations by band (beer, spirits, cider, wines) in England, Wales and Scotland for 2017. This safeguarded data product is available upon application. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Since product launch 2 initial applications have been received, approved and are in progress. |
| URL | https://data.cdrc.ac.uk/dataset/cga-2017-alcohol-on-trade-outlet-index-and-volume-estimations |
| Title | COVID-19 Lockdown High Street Resilience Classification |
| Description | Britain's high streets faced considerable additional challenges to their success during the COVID-19 pandemic, especially in relation to the government enforced restrictions between March 2020 and August 2021. This typology of resilience can provide important information on the characteristics of Britain's high streets and the impact of the lockdown restrictions. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Dataset held by the Consumer Data Research Centre (CDRC), which has been generated through original CDRC research, based on data provided by the Local Data Company (LDC). The dataset contains aggregated indicators at the British high street level. |
| URL | https://data.cdrc.ac.uk/dataset/covid-19-lockdown-high-street-resilience-classification |
| Title | COVID-19 UK Bikeshare Recovery Index |
| Description | Bikeshare systems in the UK have been undoubtably impacted by the COVID-19 pandemic and the associated lockdown, both by the general reduction in commuting to work and by a shift in selected transport options for those that do need to continue to commute. Conversely, the lockdown has resulted in many people looking for novel ways to safely exercise and continue to experience the outside world while remaining in their local area and subject to activity restrictions, potentially resulting in a significant rise in bikeshare leisure usage. CDRC have created a COVID-19 Bikeshare Activity Index which updates daily, capturing and presenting activity scores, averaged over the last few days and presented as a percentage of the early March (pre-lockdown) average. The index page also graphs the general trends since the start of March 2020, for the larger bikeshare systems in the UK. The data helps to understand both the positive and negative effects of the lockdown on this novel transport mode, and more generally observe if a longer lasting mode change in how people move around UK cities is emerging. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The dataset was requested by the UK Government's Cabinet Office in the early days of the COVID-19 pandemic, as an additional datasource to help them understand changes in the use of transport networks and modes across the country. As well as providing a daily updated feed of the processed data, we created this website to visualise the data in a regularly updating graph and summary panel. |
| URL | https://data.cdrc.ac.uk/stories/uk-bikeshare-activity-during-covid-19 |
| Title | Cluttons Real Estate Indices |
| Description | These indices record changes in sales and rental values for residential properties and commercial office spaces for the various London markets where Cluttons operate. The data were collected from 1996 to 2017 and are represented as indices where 100 is the equivalent value at the start of the data collection period for each market. This data product includes 1 safeguarded dataset and is available on application through the CDRC. A CDRC created Data Profile is also available. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | No impact to date 1 initial application received - withdrawn as of 14/2/19 |
| URL | https://data.cdrc.ac.uk/dataset/cluttons-real-estate-indices |
| Title | County Court Judgements (CCJs) |
| Description | County Court Judgement data, including record level data describing each judgement (from The Registry Trust) and aggregations at LSOA and MSOA level, created by CDRC. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Data licensing agreement is in the final stages of signing now, and the products will be created. |
| Title | DataTalk Consumer Registers |
| Description | The Datatalk Consumer Registers data product contains a compiled list of records of the entire UK adult population including full names and addresses (including postcodes) for each year from 2003 to 2012. This data product includes 1 controlled dataset and is available on application through the CDRC. A CDRC created Data Profile is also available on request. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | Data used to create CDRC Population Churn and Modelled Ethnicity Proportions as well as Linked Consumer Registers. Data being used by 1 CDRC PhD student. 3 initial applications received - 2 approved and completed, (1 withdrawn as of 14/2/19). Data nolonger available to CDRC users, replaced with the Linked Consumer Registers product which incorporates these data. |
| URL | https://data.cdrc.ac.uk/product/linked-consumer-registers |
| Title | DataTalk Electoral Roll |
| Description | The Electoral Roll Data - Historical contains the records from the electoral roll published in 1998-2002. This data product includes 5 controlled datasets (one for each year) and is available on application through the CDRC. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | Data used to create CDRC Population Churn and Modelled Ethnicity Proportions as well as Linked Consumer Registers. Data being used by 1 CDRC PhD student. 3 initial applications received - 2 approved and completed, (1 withdrawn as of 14/2/19). Data nolonger available to CDRC users, replaced with the Linked Consumer Registers product which incorporates these data. |
| URL | https://data.cdrc.ac.uk/product/linked-consumer-registers |
| Title | Distances of Residential Moves (DoRM) Index (LSOA) |
| Description | The index data are compiled from CDRC Secure data Linked Consumer Registers, which contain annual updates of the names and addresses for adults in the UK from 1997 onwards. These data are used to provide yearly Lower layer Super Output Area (LSOA) estimates of the median straight-line distances of all known residential moves to, from and within each LSOA in the UK. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | These data allow researchers to explore locality scale changes in residential mobility and migration patterns over an extended time period. The annual estimates and attribution of origins and destinations to specific LSOAs extend what is available from decennial census data. Median annual LSOA residential move data are provided for adult individuals moving out of, moving into, or moving within each UK LSOA. Estimates are triangulated with census estimates and can be used to update them during intercensal periods. |
| URL | https://data.cdrc.ac.uk/dataset/cdrc-distances-residential-moves-dorm-index-lsoa-geography |
| Title | Distances of Residential Moves (DoRM) Index (LAD Geography) |
| Description | The index data are compiled from CDRC Secure data Linked Consumer Registers, which contain annual updates of the names and addresses for adults in the UK from 1997 onwards. These data are used to provide yearly Local Authority District (LAD) estimates of the median straight-line distances of all known residential moves to, from and within each LAD in the UK. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | These data allow researchers to explore locality scale changes in residential mobility and migration patterns over an extended time period. The annual estimates and attribution of origins and destinations to specific LADs extend what is available from decennial census data. Median annual LAD residential move data are provided for adult individuals moving out of, moving into, or moving within each UK LAD. Estimates are triangulated with census estimates and can be used to update them during intercensal periods. |
| URL | https://data.cdrc.ac.uk/dataset/cdrc-distances-residential-moves-dorm-index-lad-geography |
| Title | Domestic Energy Provider |
| Description | Domestic energy provider smart meter gas and electric data for the year 2015 in Great Britain. This data product includes 1 controlled and 1 safeguarded dataset and is available on application through the CDRC. A CDRC created Data Profile is also available (NDA required). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | Data being used by 2 CDRC PhD students (1 completed). 14 initial applications received (Applications closed = 1 Applications completed = 2 Applications not started = 2 Applications on hold = 1 Applications rejected = 1 Applications reviewed = 1 Applications waiting for full proposal - 1 Applications withdrawn = 5 (as of March 2019) |
| URL | https://data.cdrc.ac.uk/product/domestic-energy-provider |
| Title | Dwelling Ages and Prices |
| Description | Small area datasets related to residential properties that are mapped on CDRC Maps, including dwelling age periods and house prices (at LSOA resolution). From the VOA and the ONS. For sub-national level median housing price geodata packs at the individual Local Authority District (LAD), Local Enterprise Partnership (LEP) or Combined Authority (CA), please visit https://data.cdrc.ac.uk/geodata-packs |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | No impact yet |
| URL | https://data.cdrc.ac.uk/dataset/dwelling-ages-and-prices |
| Title | E-food Desert Index |
| Description | The e-food deserts index (EFDI) is a multi-dimensional composite index for GB which measures the extent to which neighbourhoods exhibit characteristics associated with food deserts across four key drivers of groceries accessibility: Proximity and density of grocery retail facilities, Transport and accessibility, Neighbourhood socio-economic and demographic characteristics, E-commerce availability and propensity. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | This data has been republished onto the Trust for London Poverty Profile as part of a CDRC/TFL intiative, and can be additionally seen at https://www.trustforlondon.org.uk/data/e-food-desert-index/ |
| URL | https://data.cdrc.ac.uk/dataset/e-food-desert-index |
| Title | Energy Performance Certificates |
| Description | This dataset contains information on the EPC certificates that buildings are awarded whenever they are built, sold or rented. From this dataset, I used the area (measured in square metres) of each household variable to calculate the price per square metre of each house that was sold in London. This was then used as the primary outcome variable in analysing the impacts of increasing Airbnb listings on London house prices. |
| Type Of Material | Data analysis technique |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | We were able to show that although there is generally a small increase in price per square metre across London, the impact of Airbnb has significant variance across various inner London LSOAs. |
| Title | FCA Financial Lives Survey |
| Description | Anonymised individual responses from the Financial Conduct Authority's 2017 Financial Lives Survey. Includes approximately 13,000 records. This data product includes 1 safeguarded dataset and is available on application through the CDRC. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | CDRC facilitating access to Financial Conduct Authority Financial Lives Survey to participants of FCA DataSprint event (March 2018). 46 initial applications received Applications closed = 1 Applications completed = 1 Applications in progress = 15 Applications not started = 1 Applications rejected = 3 Applications in review = 2 Applications in revisions = 2 Applications waiting for a full proposal = 6 Applications withdrawn = 13 applications with other status = 2 |
| URL | https://data.cdrc.ac.uk/dataset/fca-fls-2017-data |
| Title | Family Restaurant Transaction Data |
| Description | This is a dataset on sales by time and date from an established family restaurant chain held by the CDRC which has been supplied by Didobi Ltd. The transactions have been aggregated (volume and value) for 26 selected restaurants into 15-minute slots during all opening hours from 26 Dec 2016 and 21 Dec 2017. All sites are proximal to SmartStreetSensors. This is a safeguarded data product available upon application. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Since product launch 2 initial applications have been received, both approved and are in progress. |
| URL | https://data.cdrc.ac.uk/dataset/family-restaurant-transaction-data-dine-in-and-take-away |
| Title | Fast Food Restaurant Transaction Data |
| Description | This is a dataset on sales by time and date from an established fast food restaurant held by the CDRC which has been supplied to the CDRC by Didobi Ltd. The transactions have been aggregated (volume and value) for 11 selected restaurants into 1 hour slots during all opening hours from 26 Dec 2016 and 21 Dec 2017. All sites are proximal to SmartStreetSensors. This safeguarded data product is available upon application. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Since launch 3 initial applications have been received, 2 are in progress and 1 application is waiting for a full proposal. |
| URL | https://data.cdrc.ac.uk/dataset/fast-food-restaurant-transaction-data-volume-and-values |
| Title | Food Hygiene Rating Scheme (FHRS) Ratings |
| Description | The data provides the food hygiene rating or inspection result given to a business and reflect the standards of food hygiene found on the date of inspection or visit by the local authority. Businesses include restaurants, pubs, cafés, takeaways, hotels and other places consumers eat, as well as supermarkets and other food shops. The data are held on behalf of local authorities participating in either the Food Standards Agencies: * National Food Hygiene Rating Scheme (FHRS) in England, Northern Ireland and Wales, or * the Food Hygiene Information Scheme (FHIS) in Scotland Data are only available for local authority areas running either of these schemes. FHRS Data Supply 1 (Snapshot as at 5 March 2019). Extracted and supplied by Fusion Data Science. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | No impact yet |
| URL | https://data.cdrc.ac.uk/dataset/food-hygiene-rating-scheme-fhrs-ratings |
| Title | Fusion Data Science Business Census |
| Description | This data product contains information on companies registered in the UK with Companies House as of 31st March of a particular year since 2012. This is an open data product. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Open data product available through CDRC Open tier as of April 2018 |
| URL | https://data.cdrc.ac.uk/dataset/business-census |
| Title | Geodata packages |
| Description | The geodata packages summarise the most important indicators developed in this project at the level of Lower Level Super Output Areas (LSOAs). The indicators include a typology of passengers travelling under the English National Concessionary Scheme (ENCTS) and their distribution throughout the West Midlands Combined Authority (WMCA), the number of ENCTS eligible residents throughout the region in the past and forecast into the future, travel times by bus to a range of points of interest (supermarkets, retail centres, GP practices, hospitals, railway stations), the number of ENCTS boardings per month and LSOA, and monthly origin-destination flows of ENCTS passengers (2014-2016). These datasets can be downloaded as Open Data from the data catalogue of the ESRC Consumer Data Research Centre (CDRC, data.cdrc.ac.uk) and are mapped on CDRC Maps (maps.cdrc.ac.uk). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | The resarch data can be downloaded and accessed by anyone interested in issues of social inclusion and transport in the WMCA. The launch of the data have been announced in the CDRC network. CDRC data and maps are highly accessed resources attracting a large number of diverse users. As a result, the data outputs are highly visible and accessible to the public. No specific, expressed queries in relation to the data outputs have been recorded as yet. |
| URL | https://maps.cdrc.ac.uk/#/indicators/wm_c1/default/BTTTFFT/12/-1.9500/52.4900/ |
| Title | Geolytix aggregated in-app location dataset |
| Description | The dataset contains aggregated activity counts derived from in-app mobile-phone locations across Great Britain. Mobile phone applications seek user's consent for recording and storing the mobile device's GPS location when the app is in use. Activity counts are derived from these locations as the sum of distinct devices per grid cell per day. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The Geolytix aggregated in-app location dataset has been supplied by Geolytix Ltd, having been collected by its data partners. Activity counts data can provide value to researchers, local authority planners, retail tenants and their landlords, investors and consumers. These data can be used to measure activity levels, particularly in heavily-used urban spaces. |
| URL | https://data.cdrc.ac.uk/dataset/geolytix-aggregated-app-location-dataset |
| Title | HUQ aggregated in-app location dataset |
| Description | The HUQ aggregated in-app location dataset which has been collected and supplied by Huq Ltd. in collaboration with the CDRC. The dataset contains aggregated activity counts derived from in-app mobile-phone locations across Great Britain, in 1kmx1km OSGB grid cells. Activity counts are derived from these locations as the sum of distinct devices per grid cell per day. Activity counts 10 or fewer are masked. Activity counts data can provide value to researchers, local authority planners, retail tenants and their landlords, investors and consumers. These data can be used to measure activity levels, particularly in heavily-used urban spaces. They may be linked to workplace zones or geodemographic classifications, for example, to better understand the functioning of local areas. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | The data is currently safeguarded and available to request by others. Within the department, it has been use to assess the impact of aggregation on big mobile data analysis and inform future choices of spatial aggregation |
| URL | https://data.cdrc.ac.uk/dataset/huq-aggregated-app-location-dataset |
| Title | High Street Retailer |
| Description | High Street Retailer store space, store location, customer, transactions with and without retail loyalty card available for the period 2012-2017, national coverage. This data product includes 5 controlled and 1 safeguarded dataset and is available on application through the CDRC. A CDRC created Data Profile is also available (NDA required). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2015 |
| Provided To Others? | Yes |
| Impact | Data being used by 3 CDRC PhD students (1 now completed). 26 initial applications received - 11 approved, 2 applications in progress, 4 withdrawn (as of 14/2/19) 4 applications received between 27 November 2019 and 6 February 2020. |
| URL | https://data.cdrc.ac.uk/product/high-street-retailer-data |
| Title | Huq Device Location Dataset |
| Description | Mobile phone dataset originated from app data. The dataset reports on a series of variables derived from mobile phone app, including the geographic location of the anonimised device. CDRC will create an aggregated research ready data product |
| Type Of Material | Data handling & control |
| Year Produced | 2021 |
| Provided To Others? | No |
| Impact | The data analysis is still ongoing due to the (big data) nature of the dataset. The secure dataset has been used in research. The aggregated data product is still under development |
| Title | Huq device location dataset |
| Description | This dataset provided by Huq Industries Ltd gives the location traces of mobile devices within Bristol and Greater London during the last 6 months of 2016. This is a controlled dataset available upon application. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | initial applications have been received and are in progress. |
| URL | https://data.cdrc.ac.uk/dataset/huq-device-location-dataset |
| Title | Index of Access to Healthy Assets and Hazard |
| Description | The AHAH index explores the geography of how the environment impacts our health, conflating a range of open and consumer data to create a new composite indicator available at multiple scales of geography. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | The index has been picked up by public health England; and is being used within their fingertips tool which is available to all local authorities in England. Additionally David Bayliss from PHE is visiting UoL as a researcher to develop further collaboration around the use and development of this tool. AHAH has also been downloaded 678 times (Jul 2017-Feb 2018) |
| URL | https://maps.cdrc.ac.uk/#/indicators/ahah/ |
| Title | Index of Access to Healthy Assets and Hazard - 2021 update |
| Description | The AHAH index explores the geography of how the environment impacts our health, conflating a range of open and consumer data to create a new composite indicator available at multiple scales of geography. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | The Access to Healthy Assets and Hazards index has been integrated into Public Health England's Fingertips toolkit (also known as 'Public Health Profiles). The tool provides key health information and data to all Local Authorities in England. AHAH was the 11th most popular metric on their website as of 2018. David Bayliss from PHE visited UoL as a researcher following this use to develop further collaboration around the use and development of this tool and green space metrics. Data from AHAH has also been used by many Local Authorities. Examples include for Tower Hamlets Local Authority on benchmarking how healthy their areas are and Gloucestershire County Council for air quality monitoring. Our data have also been used by various charity groups and non-governmental organisations, including BBC Radio 4's Women's Hour and within wind farm planning applications. Evidence for these uses has been uploaded to the impacts section. AHAH has also been downloaded 8571 times (Jul 2017-Mar 2021). |
| URL | https://mapmaker.cdrc.ac.uk/#/access-healthy-assets-hazards |
| Title | Internet User Classification 2018 |
| Description | This Geodata pack provides a number of files associated with the 2018 Internet User Classification (IUC). The IUC is a bespoke classification that describes how people living in different parts of Great Britain interact with the Internet. It provides aggregate population profiles of Internet use and engagement at the Lower Super Output Area (LSOA) and Data Zone (DZ) level (2011 Census Geography). It has been developed in order to update and expand to the previous (2014) IUC and as such includes wider and more comprehensive data, built from a range of consumer, survey and open data collected by the CDRC. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | No impact to date |
| URL | https://data.cdrc.ac.uk/dataset/internet-user-classification-2018 |
| Title | Linked Consumer Register 1997 - 2016: Migration Model |
| Description | The Linked Consumer Register "Migration Model" uses a unique digital corpus of linked individual and household-level consumer registers compiled by the UK Consumer Data Research Centre, comprising over 143 million unique address records pertaining to the entire UK adult population over the period 1997-2016. The model assigns records pertaining to individuals vacating a property to their most probable residential destination, based on novel methods of matching names, assessing household composition, and using information on the date and probable distance of residential moves. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | No |
| Impact | The results of this analysis contribute highly granular, frequently updated estimates of residential moves that can be used to chart population-wide outcomes of residential mobility and migration behaviour, as well as the socio-spatial characteristics of the sedentary population. |
| Title | Linked Consumer Register 1997 - 2020 |
| Description | The linked consumer registers contain the names and addresses for adults in the UK in annual snapshots from 1997 onwards. They are compiled from reported outputs from linking public versions of the electoral roll and consumer registers (supplied by value-added resellers). The data represent a near-complete coverage of the adult population at an individual level. Following a recent supplier change, the data is now available up to 2020 and it is anticipated that this will be continued on an annual basis. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | The data set has been used to provide Ethnicity Estimates to the Joint Biosecurity Centre to support their analyses on COVID-19's impact on different ethnic groups within the United Kingdom. |
| URL | https://data.cdrc.ac.uk/dataset/linked-consumer-registers |
| Title | Linked Consumer Register 1997 - 2020: Migration Model |
| Description | The Linked Consumer Register "Migration Model" uses a unique digital corpus of linked individual and household-level consumer registers compiled by the UK Consumer Data Research Centre, comprising over 143 million unique address records pertaining to the entire UK adult population over the period 1997-2020. The model assigns records pertaining to individuals vacating a property to their most probable residential destination, based on novel methods of matching names, assessing household composition, and using information on the date and probable distance of residential moves. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | No |
| Impact | The results of this analysis contribute highly granular, frequently updated estimates of residential moves that can be used to chart population-wide outcomes of residential mobility and migration behaviour, as well as the socio-spatial characteristics of the sedentary population. |
| Title | Local Data Company - Ultra Wide Band Footfall Data - Research Aggregated data |
| Description | The Ultra Wide Band (UWB) footfall datasets contains aggregated footfall counts for a selected number of retail locations in UK. Counts of shoppers are obtained using Ultra Wide Band radar devices. UWB provides more accurate measures of footfall compared to Wi-Fi probing. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The dataset is an aggregated version of the raw data provided by Local Data Company. |
| URL | https://data.cdrc.ac.uk/dataset/local-data-company-ultra-wide-band-footfall-data-%E2%80%93-research-... |
| Title | Local Data Company - retail unit |
| Description | Local Data Company retail type or vacancy, retail unit address and retail type of vacancy classification data for 5 time periods in summer: 2009 (peak recession), 2014 (post recesision), 2015, 2016, 2017, 2018. This data product includes 2 controlled and 1 safeguarded dataset and is available on application through the CDRC. A CDRC created profile is also available. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2015 |
| Provided To Others? | Yes |
| Impact | Data used to create CDRC retail areas and catchments and in the Internet User Classification 2018. Data being used by 3 CDRC PhD students. 19 applications received - 1 application completed, 6 applications in progress, 6 withdrawn 1 application not started, 2 application under review, 3 application waiting for a full proposal. |
| URL | https://data.cdrc.ac.uk/product/local-data-company-retail-data |
| Title | Local Data Spaces |
| Description | The Local Data Spaces (LDS) programme is a collaboration between the Joint Biosecurity Centre (JBC), Office for National Statistics (ONS), the Ministry of Housing, Communities and Local Government (MHCLG) and ADR UK. The LDS is designed to help to UK Local Authorities in accessing anonymised COVID-19 data and link the, with other ONS datasets in a secure environment with the support of the LDS seconded academics. Academics from CDRC were seconded from the CDRC research team to LDS to work on this project. |
| Type Of Material | Data analysis technique |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | UK Local Authorities can access anonymised COVID-19 data and link to other ONS datasets to provide data on areas of investigation. |
| Title | Location Sciences Mobile Devices Movement Data |
| Description | This product was provided by Location Sciences and records location traces of mobile devices of anonymised users within England (90% of the data fall within the England boundary) during the period Mar 2017- Feb 2018 inclusively. This data product included 1 controlled dataset and is available on application through the CDRC. Due to a change in management this agreement was not extended and these data are nolonger available to the CDRC service as of 14th Feb 2019. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | No impact to date. 3 applications received, 1 in progress, 1 withdrawn and 1 waiting for a full proposal |
| Title | London Classification of Workplace Zones (LCoWZ) |
| Description | The London Workplace Zones Classification (LWZC) 2017 is a geodemographic classification based on various datasources including the 2011 UK Census. It uses data from 2011 census and other sources to segment London's workplace zones into categories based on workers' and businesses' characteristics. A total of 92 variables were used to classify the 8,154 workplace zones in London. This database contains 1 dataset. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Technical report produced with the project sponsors, the Greater London Authority (GLA): Singleton, A., Longley, P.A., Duckenfield, T. 'London Workplace Zones Classification Technical Report' produced with the Greater London Authority'. LWCZ is available as interactive map at https://maps.cdrc.ac.uk/#/geodemographics/lcowz17/default/BTTTFTT/10/-0.1271/51.5274/. |
| URL | https://data.london.gov.uk/dataset/london-workplace-zone-classification |
| Title | London Output Area Classification (LOAC) |
| Description | This 2011 Census based output area classification was customised to fit the extent of London. Data includes the lookup and various descriptive materials. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2014 |
| Provided To Others? | Yes |
| Impact | Disseminated through the Greater London Authority website, and was a launch product at redesign. Attracted much attention on Twitter, 37 retweets and 21 favourites. |
| URL | http://www.opengeodemographics.com/ |
| Title | Multi-mode traffic flow and mobility data |
| Description | UK wide historic and daily feed mobility and footfall derived from UK Mobile GPS data |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The exploration of human activity zones using geo-tagged big data during the COVID-19 first lockdown in London, UK; evaluating London Low Traffic Neighbours (LTNs) with Transport fro London; evaluating mode shifting and active travelling |
| Title | NHS Hospital Admission Rates by Ethnic Group and other Characteristics |
| Description | CDRC requested NHS Digital to link CDRC Ethnicity Estimator software (EE) to Hospital Episode Statistics (HES) data collected between 1999/00 and 2013/14. See the documentation for details about the completeness of ethnicity records and the prediction success of the EE software for different ethnic groups. Two datasets were produced in this project: Preventable hospitalisation admission rates by ethnic group; and Hospital admission rates for major disease categories as defined in the Global Burden of Disease project. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | None yet, only recently published. |
| URL | https://data.cdrc.ac.uk/dataset/nhs-hospital-admission-rates-ethnic-group-and-other-characteristics |
| Title | OOMap |
| Description | The Bicycle Sharing System Docking Stations data product contains historical, frequently observed individual docking station numbers of bikes and free spaces, aggregated summaries and docking station location information, for 55 bicycle sharing systems (BSS) in cities and city groups across the world. This data product includes 51 safeguarded datasets (available on application through the CDRC) and 4 open datasets. CDRC created Data Profiles are also available. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Data product released early 2018. 27 initial applications received for safeguarded products - 10 approved, 5 applications in progress, 12 withdrawn/rejected (as of 14/2/19). CDRC researcher Oliver O'Brien used two datasets, as part of a significant data contribution for a Guardian newspaper online article looking at the recent rise and fall of dockless bikeshare systems in various English cities. Oliver was also interviewed for the article, and contributed commentary and insight into the success of the systems, based on his observations of the data on CDRC Data and elsewhere during the course of his research. The datasets used were: https://data.cdrc.ac.uk/dataset/ofo-uk https://data.cdrc.ac.uk/dataset/london-bss The Guardian article can be viewed at https://www.theguardian.com/cities/2019/feb/22/life-cycle-is-it-the-end-for-britains-dockless-bike-schemes 46 user applications (Applications closed = 2 Applications completed = 4 Applications in progress = 9 Applications not started = 2 Applications rejected = 2 Applications waiting for full proposal = 5 Applications withdrawn = 22) |
| URL | https://data.cdrc.ac.uk/product/bicycle-sharing-system-docking-stations |
| Title | Regional Transport Provider |
| Description | Regional Transport Provider ticket counts, assets, travel demand, vehicle postition & transport infrastructure data. This data product includes 2 controlled and 1 safeguarded dataset and is available on application through the CDRC. A CDRC created Data Profile is also available (NDA required). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | Data being used by 2 CDRC PhD students. 9 applications received - 3 completed, 3 applications in progress, 1 not started, 1 in review, 1 withdrawn. |
| URL | https://data.cdrc.ac.uk/product/regional-transport-provider-data |
| Title | Registry Trust CCJs |
| Description | Aggregated County Court Judgement Records from 2001 for England and Wales and from 2008 for Scotland. This data product includes 1 safeguarded dataset and is available on application through the CDRC. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | 2 CDRC user initial applications to access the data have been received - 1 now completed, (1 application withdrawn as of 14/2/19). |
| URL | https://data.cdrc.ac.uk/product/county-court-judgements-ccjs |
| Title | Residential Mobility Index |
| Description | This index provides an estimate of the "churn" of the residential population in the UK - the proportion of households that have changed between the end of 2016 and the start of each of each year going back to 1998. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | This data enables researchers to explore annual variations in neighbourhood change at a small area geography. Crucially it also enables researchers to focus on yearly data rather than relying on decadal census data to estimate change. It is even possible to observe trends that have occurred since the collection of the most recent census. |
| URL | https://data.cdrc.ac.uk/dataset/cdrc-residential-mobility-index |
| Title | Residential Mobility and Deprivation (RMD) Index (LSOA) |
| Description | The data packs describe Residential Mobility and Deprivation (RMD) datasets held by the CDRC which have been created by original CDRC research. The data packs provide yearly small area estimates (1998-2020) of the mean differences of residential mobility and deprivation of all known adults' moves to, from and within each neighbourhood (Lower layer Super Output Area, Data Zone and Super Output Area in the UK. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | These data allow researchers to whether incoming residents likely originate from more or less deprived neighbourhoods, perhaps indicating neighbourhood gentrification or relative obsolescence, each over an extended period. The annual estimates and attribution of precise neighbourhood origins and destinations extends what is available from decennial census data. In addition, researchers can investigate which neighbourhoods are platforms for moves to less or more deprived neighbourhoods, indicating neighbourhood roles in facilitating social mobility. LCR estimates are triangulated with census statistics and can be used to update them during intercensal periods. |
| URL | https://data.cdrc.ac.uk/dataset/cdrc-residential-mobility-and-deprivation-rmd-index-lsoa-geography |
| Title | Residential Mobility and Deprivation Index (LAD geography) |
| Description | The data packs describe Residential Mobility and Deprivation (RMD) datasets held by the CDRC which have been created by original CDRC research. The data packs provide yearly small area estimates (1998-2020) of the mean differences of residential mobility and deprivation of all known adults' moves to, from and within each neighbourhood (Local Authority Level) in the UK. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | These data allow researchers to whether incoming residents likely originate from more or less deprived neighbourhoods, perhaps indicating neighbourhood gentrification or relative obsolescence, each over an extended period. The annual estimates and attribution of precise neighbourhood origins and destinations extends what is available from decennial census data. In addition, researchers can investigate which neighbourhoods are platforms for moves to less or more deprived neighbourhoods, indicating neighbourhood roles in facilitating social mobility. LCR estimates are triangulated with census statistics and can be used to update them during intercensal periods. |
| URL | https://data.cdrc.ac.uk/dataset/cdrc-residential-mobility-and-deprivation-rmd-index-lad-geography |
| Title | Retail Centre Boundaries |
| Description | Delineation of retail centre boundaries for the UK. Spatial file identifying the location and extent of retail centres (i.e. zones of high retail unit density clusters). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | CDRC data product used in varying research projects from students, academic, CDRC or related research activity. |
| Title | Shop Direct |
| Description | Shop Direct transactions and products data for 2015, national coverage. This data product includes 1 controlled and 1 safeguarded dataset and is available on application through the CDRC. A CDRC created Data Profile is also available. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | These data have been used in the CDRC Internet User Classification 2018. 6 applications have been received - 1 application is in review, 5 withdrawn. |
| URL | https://data.cdrc.ac.uk/product/shop-direct-retail-data |
| Title | SmartStreetSensor footfall |
| Description | The LDC SmartStreetSensor footfall data produced in partnership with the CDRC includes details of passive WiFi signal probing from a sensor network across Great Britain. These data are used as a proxy for estimating footfall at retail locations. Aggregated footfall count data products have been created for researchers and local authorities . This data product includes 1 controlled and 2 safeguarded datasets and is available on application through the CDRC. A CDRC created Data Profile is also available. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | Data being used by 4 CDRC PhD students. 34 applications received - 9 completed approved,11 applications in progress, 9 withdrawn, 1 rejected, 1 not started, 1 in review, 2 waiting for full proposal |
| URL | https://data.cdrc.ac.uk/product/ldc-smartstreetsensor-footfall-data |
| Title | Speedchecker Broadband Internet Speed Tests |
| Description | This dataset provided by Speedchecker Ltd https://www.broadbandspeedchecker.co.uk/ includes individual readings of Internet speed from online speed tests, as well as other information such as Internet latency and ISPs, between 2011 and 2018. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | No applications received to date. Data used in Internet User Classification. |
| URL | https://data.cdrc.ac.uk/dataset/speedchecker-broadband-speed-tests |
| Title | Temporal Output Area Classification and Uncertainty Measures |
| Description | The database contains a 2001 - 2011 output area classification; alongside uncertainty measures derived from secondary data sources. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2014 |
| Provided To Others? | Yes |
| Impact | None yet, although a key finding from this research has highlighted the difficulty in mixing census and secondary small area estimates. |
| URL | https://github.com/alexsingleton/temporal-oac |
| Title | The Ageing in Place Classification (AiPC) |
| Description | The Ageing in Place Classification (AiPC) classifies population aged 50 years old and older in England. The geodemographic consists of two tiers Tier 1, the Supergroups, contains five clusters providing the most generic descriptions of the older population (aged 50 and over) and their living environments. Tier 2, the Groups, further differentiates within the five clusters of Tier 1 giving an additional 13 clusters. The classification is based on multiple high quality data sources including ONS 2011 Census, British Population Survey (BPS), Access to Healthy Assets & Hazards (AHAH), NHS English Prescribing Data (EPD), Registered Patient (RP). It contains all the 32,844 LSOAs in England classified by the AiPC. Each row/LSOA is assigned to a AiPC Supergroup name and code and a Group name and code. The AiPC is the first-of-its-kind bespoke geodemographic classification in England targeting the population aged 50 years old and older. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | The utility of AiPC - case studies here: https://data.cdrc.ac.uk/stories/classifying-older-population |
| URL | https://data.cdrc.ac.uk/dataset/ageing-place-classification-aipc |
| Title | U.S. Retail Centre Boundaries and Typology |
| Description | A set of retail centre boundaries and accompanying non-hierarchical typology for retail centres, covering the national extent of the U.S. Outputs were prepared as part of Patrick Ballantyne's PhD thesis, and were granted permission to be used as an open access derived data product by data provider - SafeGraph. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Dataset is the primary outcome of a research paper published in Annals of the American Association of Geographers (https://tinyurl.com/aagrcpaper). It has also been shared with Geolytix who are looking to build their own suite of U.S. retail centre definition to mimic their existing retail places data product that they have collated for the UK. |
| URL | https://data.cdrc.ac.uk/dataset/us-retail-centre-boundaries-and-classification |
| Title | Ultra Wide Band Radar Footfall dataset |
| Description | Footfall counts at one minute resolution obtained from ultra wide band radar footfall counter devices located in shops around UK and Europe. CDRC will create a research ready product with aggregated footfall counts at five minute resolution for all locations in UK. |
| Type Of Material | Data handling & control |
| Year Produced | 2021 |
| Provided To Others? | No |
| Impact | Data preparation and ingestion ongoing. The device installation has been delayed by the lockdown restrictions. CDRC data product development delayed by the difficulty in installing location during and after the COVID-19 pandemic. The dataset has been used to calibrate another CDRC data product. |
| Title | Use of UCL DSH (Data Safe Haven) for CDRC Controlled Data |
| Description | UCL offer a secure data service (Data Safe Haven) ISO27001 accredited, and we are using this as a resource to manage access to the CDRC Controlled data sets. It is preferable to the Jill Dando Institute secure lab, as DSH access does not require physical access - secure access is provided via Citrix and two factor authentication. |
| Type Of Material | Data handling & control |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | This access allows more people to apply for and access secure data, and access secure data during lockdown as physical access is not required. |
| Title | West Midlands Bus Based Accessibility Data Set |
| Description | Data is open access according to: https://opendefinition.org/od/2.1/en/ Data set is accessibility estimates to selected POIs (retail centres, supermarkets, clinics, GPs, hospitals, railway stations) based on bus timetables and the ITN road network at OA level 2010-2016. Supermarkets are categorised by size, each category also includes any larger categories. Travel time is the mean minimum time to reach each of the specific POIs across a 24 hour period calculated at 30 minute intervals. The tables also include the percentage change in mean travel time from the value 12 months previous, where this is available. The first table is based on a Tuesday and the second is based on a Saturday. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | The data set is used to generate the maps for accessibility indicators at https://maps.cdrc.ac.uk/#/indicators/wmchg_all/default/BTTTFFT/10/-1.9000/52.5000/ |
| URL | https://data.cdrc.ac.uk/dataset/west-midlands-bus-based-accessibility |
| Title | Youth Banking Card Provider |
| Description | The Youth Banking Card Provider dataset holds basic geodemographic information from each young user (6-18 years) and detailed information about their spending habits using a pre-paid debit card. This data product includes 1 controlled and 1 safeguarded dataset and is available on application through the CDRC. A CDRC created Data Profile is also available (NDA required). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | 3 Initial applications have been received - 1 approved and 2 withdrawn (as of 14/2/19) CDRC researcher Guy Lansley accessing more recent data for research at partner's premises. |
| URL | https://data.cdrc.ac.uk/product/youth-banking-card-provider-transactions-and-earning-data |
| Title | sensor |
| Description | This index created by the CDRC provides an estimate of the proportion of households that have changed between the end of 2016 and the start of each of each year going back to 1998. The estimates were built from linking administrative and consumer data, including electoral registers, consumer registers and land registry house sale data. This data enables researchers to explore annual variations in neighbourhood change at a small area geography. Crucially it also enables researchers to focus on yearly data rather than relying on decadal census data to estimate change. It is even possible to observe trends that have occurred since the collection of the most recent census. This is a safeguarded data product available by application. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Since product made available in September 2018, 15 initial applications have been received, 1 completed, 8 in progress, 3 withdrawn, 1 not started, 2 waiting for a full proposal. |
| URL | https://data.cdrc.ac.uk/dataset/cdrc-population-churn-index |
| Description | ARUP UBEL Doctoral Training Partnership co-funded studentship |
| Organisation | Arup Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Negotiated co-funded '+3' studentship and data to be made available to student. |
| Collaborator Contribution | Financial support, data and commercial expertise and supervision to be made available for ESRC UBEL Doctoral Training Partnership '+3' studentship. |
| Impact | '+3' co-funded ESRC UBEL DTP student recruited and began September 2018 |
| Start Year | 2018 |
| Description | AXA PPP |
| Organisation | AXA |
| Department | AXA PPP Healthcare |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The Retail Research Masters Research initiative gives masters level students the opportunity to conduct their dissertation with the co-supervision of a retail organisation. The Consumer Data Research Centre facilitate the initiative. The student is offered a stimulating project to work on with co-supervision from the a major UK business. They receive industry advice on how data are used in real world problem solving, and experience of addressing problems that matter. A prize is awarded to the best three dissertations (funded by the CDRC). Research findings are showcased to an audience of leading retailers, at the Annual Demographics Users Group conference and the work is published and made freely available on the CDRC website. |
| Collaborator Contribution | Representatives from major UK retail companies, or businesses which handle retail data, co-supervise the Masters dissertations. This presents a great opportunity to get a Masters student to help the organisation make progress with research into major current issues, and projects that have been considered, but not had the resource to carry out. The student works with data - the organisation's customer data, open data or academic sector data and can maximise the value obtained from this. |
| Impact | Olga Tregubova (2014) European Union Government Open Data in Market Research: Exploring Current Discussion among Stakeholders on Opportunity, Accessibility, Usability and Desired Outcomes. Masters project resulted in inputs into partner's strategic decision making. |
| Start Year | 2014 |
| Description | Advice on Oxfordshire Economic Strategy |
| Organisation | Oxford City Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Consultation on Oxfordshire Economic Strategy |
| Collaborator Contribution | None |
| Impact | None |
| Start Year | 2021 |
| Description | Appliances Online |
| Organisation | Appliances Online Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Data acquisition for CDRC service. Short research project for Appliances Online investigating trends in delivery data and failed deliveries. |
| Collaborator Contribution | Provision of data, online delivery; online consumer and transaction data to CDRC Secure and Safeguarded service for the purposes of social science research. |
| Impact | CDRC Data Licence Agreement for 3 secure -Product; online delivery; online consumer and 1 safeguarded datasets - transaction data to available through CDRC Service. Data used in CDRC Internet User Classification 2017. CDRC Case Study: Pavlis, M., Singleton, A. 'Deriving the Spatial Extent of Retail Centres' 3 initial applications received (1 approved, 2 withdrawn/rejected) as of 14/2/19 |
| Start Year | 2016 |
| Description | Argos |
| Organisation | Home Retail Group (Argos) |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The Masters Research Dissertation Programme (formally known as the Retail Research Masters Research initiative) gives masters level students the opportunity to conduct their dissertation with the co-supervision of a consumer organisation. The Consumer Data Research Centre facilitate the initiative. The student is offered a stimulating project to work on with co-supervision from the a major UK business. They receive industry advice on how data are used in real world problem solving, and experience of addressing problems that matter. A prize is awarded to the best three dissertations (funded by the CDRC). Research findings are showcased to an audience of leading retailers, at the Annual Data Analysts User Group annual conference (formally known as Demographics User Group) and the work is published and made freely available on the CDRC website. |
| Collaborator Contribution | Representatives from major UK consumer companies, or businesses which handle consumer data, co-supervise the Masters dissertations. This presents a great opportunity to get a Masters student to help the organisation make progress with research into major current issues, and projects that have been considered, but not had the resource to carry out. The student works with data - the organisation's customer data, open data or academic sector data and can maximise the value obtained from this. The partner provides the student with a £500 bursary on completion of a successful dissertation. |
| Impact | Radoslaw Kowalski (2015) Topic modelling online customer reviews; Duncan Clayton-Stead (2016) An analysis of Argos concession store performance located in Homebase and Sainsbury's stores across the UK. Natalia Gil (2016) The performance of Argos concessions in other stores. Masters projects resulted in inputs into partner's strategic decision making. |
| Start Year | 2015 |
| Description | BT PLC |
| Organisation | BT Group |
| Department | Diagnostic Technology, Service Technology & Analytics |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The Masters Dissertation Scheme gives Masters level students the opportunity to conduct their dissertation with the co-supervision of a consumer organisation. The Consumer Data Research Centre (CDRC) facilitate the initiative. The student is offered a stimulating project to work on with co-supervision from a major UK business. They receive industry advice on how data are used in real world problem solving, and experience of addressing problems that matter. A prize is awarded to the best three dissertations (funded by the CDRC). Research findings are showcased to an audience of leading businesses at the Annual Data Analysts User Group annual conference (formally known as Demographics User Group) and the work is published and made freely available on the CDRC website. |
| Collaborator Contribution | Representatives from major UK consumer companies or businesses which handle consumer data, co-supervise the Masters dissertations. This presents a great opportunity to get a Masters student to help the organisation make progress with research into major current issues, and projects that have been considered, but not had the resource to carry out. The student works with data - the organisation's customer data, open data or academic sector data and can maximise the value obtained from this. The partner provides the student with a £500 bursary on completion of a successful dissertation. |
| Impact | One 2020 project - Identification, prediction and potential resolution of fault location/type, impacting the delivery of Internet connectivity to domestic users at home |
| Start Year | 2019 |
| Description | Barbour ABI |
| Organisation | Barbour ABI |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The Masters Research Dissertation Programme (formally known as the Retail Research Masters Research initiative) gives masters level students the opportunity to conduct their dissertation with the co-supervision of a consumer organisation. The Consumer Data Research Centre facilitate the initiative. The student is offered a stimulating project to work on with co-supervision from the a major UK business. They receive industry advice on how data are used in real world problem solving, and experience of addressing problems that matter. A prize is awarded to the best three dissertations (funded by the CDRC). Research findings are showcased to an audience of leading retailers, at the Annual Data Analysts User Group annual conference (formally known as Demographics User Group) and the work is published and made freely available on the CDRC website. |
| Collaborator Contribution | Representatives from major UK consumer companies, or businesses which handle consumer data, co-supervise the Masters dissertations. This presents a great opportunity to get a Masters student to help the organisation make progress with research into major current issues, and projects that have been considered, but not had the resource to carry out. The student works with data - the organisation's customer data, open data or academic sector data and can maximise the value obtained from this. The partner provides the student with a £500 bursary on completion of a successful dissertation. |
| Impact | Matthew Grove (2017) An evaluation of the relationships between construction developments and retail vacancy (project in partnership with LDC). Barbour ABI went on to recruit the student. Masters project resulted in inputs into partner's strategic decision making. |
| Start Year | 2017 |
| Description | Barclays plc |
| Organisation | Barclays |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The Masters Research Dissertation Programme gives masters level students the opportunity to conduct their dissertation with the co-supervision of a consumer organisation. The Consumer Data Research Centre facilitate the initiative. The student is offered a stimulating project to work on with co-supervision from the a major UK business. They receive industry advice on how data are used in real world problem solving, and experience of addressing problems that matter. A prize is awarded to the best three dissertations (funded by the CDRC). Research findings are showcased to an audience of leading retailers, at the Annual Data Analysts User Group annual conference (formally known as Demographics User Group) and the work is published and made freely available on the CDRC website. |
| Collaborator Contribution | Representatives from major UK consumer companies, or businesses which handle consumer data, co-supervise the Masters dissertations. This presents a great opportunity to get a Masters student to help the organisation make progress with research into major current issues, and projects that have been considered, but not had the resource to carry out. The student works with data - the organisation's customer data, open data or academic sector data and can maximise the value obtained from this. The partner provides the student with a £500 bursary on completion of a successful dissertation. |
| Impact | 2019 projects: Predicting the potential sales at new locations - utilising transactional datasets; Correlation of Social Media Data and spending activity in the UK |
| Start Year | 2019 |
| Description | British Gas |
| Organisation | British Gas |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The Masters Research Dissertation Programme (formally known as the Retail Research Masters Research initiative) gives masters level students the opportunity to conduct their dissertation with the co-supervision of a consumer organisation. The Consumer Data Research Centre facilitate the initiative. The student is offered a stimulating project to work on with co-supervision from the a major UK business. They receive industry advice on how data are used in real world problem solving, and experience of addressing problems that matter. A prize is awarded to the best three dissertations (funded by the CDRC). Research findings are showcased to an audience of leading retailers, at the Annual Demographics Users Group conference and the work is published and made freely available on the CDRC website. |
| Collaborator Contribution | Representatives from major UK consumer companies, or businesses which handle consumer data, co-supervise the Masters dissertations. This presents a great opportunity to get a Masters student to help the organisation make progress with research into major current issues, and projects that have been considered, but not had the resource to carry out. The student works with data - the organisation's customer data, open data or academic sector data and can maximise the value obtained from this. The partner provides the student with a £500 bursary on completion of a successful dissertation. |
| Impact | Nicholas Samson (2014) Can smart meters save consumers and British Gas money and carbon by pinpointing which consumers are most likely and best placed to install insulation in their homes? - CDRC dissertation first prize winner; Anastasia Ushakova (2015) Can we identify vulnerable energy customers from smart meter data? - CDRC dissertation runner up prize winner. Masters project resulted in inputs into partner's strategic decision making. |
| Start Year | 2014 |
| Description | CACI Ltd |
| Organisation | CACI International Inc |
| Department | CACI Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Data acquisition for CDRC service. Also involved in the Masters Research Dissertation Programme (formally known as the Retail Research Masters Research initiative) gives masters level students the opportunity to conduct their dissertation with the co-supervision of a consumer organisation. The Consumer Data Research Centre facilitate the initiative. The student is offered a stimulating project to work on with co-supervision from the a major UK business. They receive industry advice on how data are used in real world problem solving, and experience of addressing problems that matter. A prize is awarded to the best three dissertations (funded by the CDRC). Research findings are showcased to an audience of leading retailers, at the Annual Data Analysts User Group annual conference (formally known as Demographics User Group) and the work is published and made freely available on the CDRC website. |
| Collaborator Contribution | To provide the Consumer Register datasets for 2014-2019 for the purposes of social science research. Member of CDRC Advisory Board. Also partner in the Masters Research Dissertation Programme where representatives from major UK consumer companies, or businesses which handle consumer data, co-supervise the Masters dissertations. This presents a great opportunity to get a Masters student to help the organisation make progress with research into major current issues, and projects that have been considered, but not had the resource to carry out. The student works with data - the organisation's customer data, open data or academic sector data and can maximise the value obtained from this. The partner provides the student with a £500 bursary on completion of a successful dissertation. |
| Impact | Member of CDRC Advisory Board. CDRC Data Licence Agreement for Consumer Registers data available to approved CDRC Users through Secure tier of CDRC service. Agreement not extended beyond Feb 2019. Data will nolonger be available through CDRC Service. Data used in CDRC Linked Consumer Registers https://data.cdrc.ac.uk/product/linked-consumer-registers controlled product Population Churn https://data.cdrc.ac.uk/product/cdrc-population-churn-index and Modelled Ethnicity Proportions https://data.cdrc.ac.uk/dataset/modelled-ethnicity-proportions safeguarded products Data used by CDRC PhD student Guy Lansley for thesis 'Big Data: Geodemographics and Representation' CDRC case study: Lansley, G., Li, W., Longley, P.A. 'Representing Population Dynamics from Administrative and Consumer Registers' https://www.cdrc.ac.uk/wp-content/uploads/2017/03/Areas-and-Activities.pdf. CDRC Masters Research Dissertation Programme: Yiqao Huang (2015) Shopping centre's turnover estimation using microsimulation: an exploratory research in Inverness; Eirini Milaiou (2016) Topic extraction and document classification on textual survey data with unsupervised modelling techniques. One 2020 project - Creating Small Area Populations. |
| Start Year | 2015 |
| Description | CBRE |
| Organisation | CBRE Group, Inc. |
| Country | United States |
| Sector | Private |
| PI Contribution | The Masters Research Dissertation Programme (formally known as the Retail Research Masters Research initiative) gives masters level students the opportunity to conduct their dissertation with the co-supervision of a consumer organisation. The Consumer Data Research Centre facilitate the initiative. The student is offered a stimulating project to work on with co-supervision from the a major UK business. They receive industry advice on how data are used in real world problem solving, and experience of addressing problems that matter. A prize is awarded to the best three dissertations (funded by the CDRC). Research findings are showcased to an audience of leading retailers, at the Annual Data Analysts User Group annual conference (formally known as Demographics User Group) and the work is published and made freely available on the CDRC website. |
| Collaborator Contribution | Representatives from major UK consumer companies, or businesses which handle consumer data, co-supervise the Masters dissertations. This presents a great opportunity to get a Masters student to help the organisation make progress with research into major current issues, and projects that have been considered, but not had the resource to carry out. The student works with data - the organisation's customer data, open data or academic sector data and can maximise the value obtained from this. The partner provides the student with a £500 bursary on completion of a successful dissertation. |
| Impact | 2018 Masters Research Dissertation Programme project: Runsang Yu (2018) Understanding footfall: using GPS data to define four shopping areas in London; Christopher Storey (2018) Assessing retail space use using mobile location histories Masters projects resulted in inputs into partner's strategic decision making. |
| Start Year | 2018 |
| Description | CDRC 105: The Impact of Housing Market Investors: Theory and Evidence from the UK |
| Organisation | Imperial College London |
| Department | Imperial College Business School |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | CDRC-Leeds managed project for access Whenfresh/Zoopla data. Managed BPSS checks and supported analysis in UCL secure lab. |
| Collaborator Contribution | Undertaking analysis for CDRC approved project 105 The Impact of Housing Market Investors: Theory and Evidence from the UK |
| Impact | CDRC approved user working in UCL secure lab |
| Start Year | 2018 |
| Description | CDRC User Agreement 1327: The spatial signatures of gambling behaviours: access to online vs. brick-and-mortar facilities |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to GambleAware Treatment and Support Survey Data for research project (1 user) CDRC User Agreement 1327: The spatial signatures of gambling behaviours: access to online vs. brick-and-mortar facilities. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to GambleAware Treatment and Support Survey Data for research project (1 user) CDRC User Agreement 1327: The spatial signatures of gambling behaviours: access to online vs. brick-and-mortar facilities. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to users, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 004: Exploring geographical patterns in medication usage |
| Organisation | University of Liverpool |
| Department | Department of Chemistry |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC controlled High Street Retailer data for project 004 Exploring geographical patterns in medication usage submitted by Mark Green, University of Liverpool. Application approved and User Agreements fully executed with research team. Supporting project team data analysis in lab. |
| Collaborator Contribution | Submitted application to CDRC Secure Service for access to High Street Retailer controlled data for Exploring geographical patterns in medication usage project. Have amended proposal in light of review comments, completed required SURE training and signed the CDRC User agreements. Analysis underway. |
| Impact | Approved CDRC User application 004 and User Agreements. |
| Start Year | 2016 |
| Description | CDRC User Application 005: Looking towards financial literacy: An analysis of you people's spending - their attitudes and outcomes |
| Organisation | Newcastle University |
| Department | Institute of Cellular Medicine |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC controlled Youth Banking Card Provider data for project 005 An analysis of young people's spending - their attitudes and outcomes submitted by Dr Thanos Verousis, Newcastle University. Application approved. |
| Collaborator Contribution | Submitted application to CDRC Secure Service for access to Youth Banking Card Provider controlled data for An analysis of you people's spending - their attitudes and outcomes project. Applicants ESRC SDAI funding application unsuccessful so research did not begin. |
| Impact | Approved CDRC User application 005 |
| Start Year | 2016 |
| Description | CDRC User Application 008: Centro transport data: Changes in bus usage by elderly concessions |
| Organisation | Digital Catapult |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Processed and managed data access application and review process to CDRC controlled High Street Retailer and Shop Direct data for project 008 Centro transport data: Changes in bus usage by elderly concessions submitted by Justin Grace, Digital Catapult. Application approved by CDRC Research Approvals Group. |
| Collaborator Contribution | Submitted application to CDRC Secure Service for access to High Street Retailer and Shop Direct controlled data for Centro transport data: Changes in bus usage by elderly concessions project. Amended proposal in light of review comments, completed required SURE training. Following approval applicants withdrew the project due to changes in Digital Catapult's strategic direction. |
| Impact | Approved CDRC User application 008. Through collaboration were introduced to Transport for West Midlands who subsequently collaborated with CDRC on co-funded PhD studentship, data provision and research. |
| Start Year | 2016 |
| Description | CDRC User Application 013: Multi-source Biosurveillance |
| Organisation | University of Liverpool |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC controlled High Street Retailer data for project 013 Multi-source Biosurveillance submitted by Professor Simon Maskell, University of Liverpool. Application approved by CDRC Research Approvals Group and User Agreements fully executed with research team. Supporting project team data analysis in lab. |
| Collaborator Contribution | Submitted application to CDRC Secure Service for access to High Street Retailer controlled data for Multi-source Biosurveillance project. Amended proposal in light of review comments, research team completed required SURE training and CDRC User Agreements in place. Analysis underway in lab. |
| Impact | Approved CDRC User application 013 and User Agreements |
| Start Year | 2016 |
| Description | CDRC User Application 017: Inclusive and healthy mobility: Understanding trends in concessionary travel in the West Midlands |
| Organisation | University College London |
| Department | Research Department of Practice and Policy |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC controlled Regional Transport Provider data for project 017 Inclusive and healthy mobility: Understanding trends in concessionary travel in the West Midlands submitted by Dr Jens Kandt, UCL. Application approved by CDRC Research Approvals Group. Provided letter of support for applicants ESRC New Forms of Data funding application.. Supporting project team's data analysis in lab. |
| Collaborator Contribution | Submitted application to CDRC Secure Service for access to High Street Retailer controlled data for Inclusive and healthy mobility: Understanding trends in concessionary travel in the West Midlands project. Amended proposal in light of review comments and completed required SURE training and signed CDRC User Agreements. Received funding for project under ESRC New forms of data call. Analysis underway. |
| Impact | Approved CDRC User Application 017 and User Agreements. Applicant's project funded under ESRC New Forms of Data call. |
| Start Year | 2016 |
| Description | CDRC User Application 018: Understanding self-management behaviours of cancer patients using consumer data |
| Organisation | Imperial College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Negotiated access to controlled data under a Data Licence Agreement amendment with High Street Retailer for project 018 Understanding self-management behaviours of cancer patients using consumer data. Processed and managed data access application and review process for applicant. Application approved by CDRC Research Approvals Group and User Agreements fully executed with research team. Supported project team's data analysis in lab. Supported and presented Users end of project meeting. |
| Collaborator Contribution | Submitted application to CDRC Secure Service for access to High Street Retailer data for Understanding self-management behaviours of cancer patients using consumer data project. Amended proposal in light of review comments, research team completed required SURE training and BPSS clearance for access to Secure Lab and signed CDRC User Agreements. Analysis complete. |
| Impact | Approved CDRC User application 018. Data Licence Agreement amendment with data partner for project specific data. CDRC User Agreements. Project meeting with key stakeholders including CDRC arranged to discuss developing research and submitted funding requests with support from CDRC. CDRC User Case Study https://www.cdrc.ac.uk/wp-content/uploads/2018/05/James-Flanagan-user-case-study.pdf. Flanagan JM, Skrobanski H, Shi X, Hirst Y. Assessing self-management behaviours of ovarian cancer patients before their diagnosis using commercial data: a proof of concept study. JMIR Preprints. 19/03/2018:10447. DOI: 10.2196/preprints.10447. URL: http://preprints.jmir.org/preprint/10447 |
| Start Year | 2016 |
| Description | CDRC User Application 018: Understanding self-management behaviours of cancer patients using consumer data |
| Organisation | Wellcome Trust |
| Department | Wellcome Trust Cente for Neuroimaging |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Negotiated access to controlled data under a Data Licence Agreement amendment with High Street Retailer for project 018 Understanding self-management behaviours of cancer patients using consumer data. Processed and managed data access application and review process for applicant. Application approved by CDRC Research Approvals Group and User Agreements fully executed with research team. Supported project team's data analysis in lab. Supported and presented Users end of project meeting. |
| Collaborator Contribution | Submitted application to CDRC Secure Service for access to High Street Retailer data for Understanding self-management behaviours of cancer patients using consumer data project. Amended proposal in light of review comments, research team completed required SURE training and BPSS clearance for access to Secure Lab and signed CDRC User Agreements. Analysis complete. |
| Impact | Approved CDRC User application 018. Data Licence Agreement amendment with data partner for project specific data. CDRC User Agreements. Project meeting with key stakeholders including CDRC arranged to discuss developing research and submitted funding requests with support from CDRC. CDRC User Case Study https://www.cdrc.ac.uk/wp-content/uploads/2018/05/James-Flanagan-user-case-study.pdf. Flanagan JM, Skrobanski H, Shi X, Hirst Y. Assessing self-management behaviours of ovarian cancer patients before their diagnosis using commercial data: a proof of concept study. JMIR Preprints. 19/03/2018:10447. DOI: 10.2196/preprints.10447. URL: http://preprints.jmir.org/preprint/10447 |
| Start Year | 2016 |
| Description | CDRC User Application 021: Housing Market Indicators |
| Organisation | University of Liverpool |
| Department | Department of Geography and Planning |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC controlled WhenFresh/Zoopla data for project 021 Housing Market Indicators. Application approved by CDRC Research Approvals Group. |
| Collaborator Contribution | Submitted application to CDRC Secure Service for access to WhenFresh/Zoopla data for project 021 Housing Market Indicators project. Funding application unsuccessful so project did not progress. |
| Impact | Approved CDRC User application 021. |
| Start Year | 2016 |
| Description | CDRC User Application 028: Informational consumerism and 'Spatial Consumption' of multi-channelled shopping places |
| Organisation | University of Cambridge |
| Department | Department of Land Economy |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC controlled and safeguarded data from High Street Retailer, WhenFresh/Zoopla, LDC, and Javelin Group's Acxiom data for project 028 Informational consumerism and 'Spatial Consumption' of multi-channelled shopping places. Application approved by CDRC Research Approvals Group following major and minor revision decisions. User Agreements fully executed with research team. Supporting User's analysis in UCL lab. |
| Collaborator Contribution | Submitted application to CDRC Secure Service for access to High Street Retailer, WhenFresh/Zoopla, LDC, and Javelin Group's Acxiom data for Informational consumerism and 'Spatial Consumption' of multi-channelled shopping places project. Amended proposal in light of review comments, completed required SURE training and BPSS clearance check for access to Secure Research lab and signed CDRC User Agreement. Analysis underway. |
| Impact | Approved CDRC User application 028 and User Agreements. |
| Start Year | 2016 |
| Description | CDRC User Application 030: Fiscal burden or competitive advantage? New evidence on retail business rates leveraging new forms of data |
| Organisation | University of Liverpool |
| Department | Department of Geography and Planning |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC LDC Retail unit and SmartStreetSensor footfall data for project CDRC 030 Fiscal burden or competitive advantage? New evidence on retail business rates leveraging new forms of data. Application approved by CDRC Research Approvals Group. |
| Collaborator Contribution | Submitted application to CDRC Secure and Safeguarded service for access to LDC Retail unit and SmartStreetSensor footfall data. Applicants ESRC SDAI funding application unsuccessful so research did not begin. |
| Impact | Approved CDRC User application. |
| Start Year | 2016 |
| Description | CDRC User Application 037: Footfall in Denbighshire comparison data |
| Organisation | Denbighshire County Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Processed and managed data access application and review process to CDRC Safeguarded SmartStreeSensor Footfall data for project 037 CDRC User Application 037: Footfall in Denbighshire comparison data. Application approved by CDRC Research Approvals Group, User Agreement fully executed and safeguarded data delivered to user. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreeSensor Footfall data. Following analysis provided case study to CDRC. |
| Impact | Approved CDRC application and User Agreement. SmartStreetSensor data were used by Denbighshire County Council to compare their towns to similar towns across the UK. The applicant has also benefited from attending CDRC events and 'broaden the scope of what information I can access and what we can do as a council.' |
| Start Year | 2016 |
| Description | CDRC User Application 038: Population247NRT: Near real-time spatiotemporal population estimates for health, emergency response and national security |
| Organisation | University of Southampton |
| Department | Department of Geography and Environment |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Safeguarded SmartStreetSensor footfall data for project 038 Population247NRT: Near real-time spatiotemporal population estimates for health, emergency response and national security. Application approved and User Agreements fully executed with research team. Safeguarded data delivered to Users. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreetSensor footfall data for project 038 Population247NRT: Near real-time spatiotemporal population estimates for health, emergency response and national security. Amended proposal in light of review comments and signed CDRC User Agreements. Analysis underway. |
| Impact | Approved CDRC User application and User Agreements. Discussions held between CDRC and Users re quality of SmartStreetSensor footfall data. |
| Start Year | 2017 |
| Description | CDRC User Application 045: Investigation into the correlation between footfall and violence levels |
| Organisation | De Montfort University |
| Department | School of Computer Science and Informatics |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Safeguarded SmartStreetSensor footfall data for project 045 Investigation into the correlation between footfall and violence levels. Application approved and User Agreements fully executed with research team. Safeguarded data delivered to Users. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreetSensor footfall data for project 045 Investigation into the correlation between footfall and violence levels. Amended proposal in light of review comments and signed CDRC User Agreements. Analysis underway. |
| Impact | Approved CDRC User application and User Agreements. |
| Start Year | 2017 |
| Description | CDRC User Application 050: Understanding the impact of the Night Tube on Westminster's Night Economy |
| Organisation | University College London |
| Department | Bartlett Centre for Advanced Spatial Analysis |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Safeguarded SmartStreetSensor footfall data for project 050 Understanding the impact of the Night Tube on Westminster's Night Economy submitted by CDRC Masters Research Dissertation Programme Student. Application approved and User Agreements fully executed with research team. Safeguarded data delivered to User. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreetSensor footfall data for project 050 Understanding the impact of the Night Tube on Westminster's Night Economy . Signed CDRC User Agreements. Analysis complete. |
| Impact | Approved CDRC User application and User Agreement. Data requested for use in CDRC Research Masters Dissertation Programme project with Westminster City Council. Masters Dissertation completed and CDRC case study. |
| Start Year | 2017 |
| Description | CDRC User Application 050: Understanding the impact of the Night Tube on Westminster's Night Economy |
| Organisation | Westminster City Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Processed and managed data access application and review process to CDRC Safeguarded SmartStreetSensor footfall data for project 050 Understanding the impact of the Night Tube on Westminster's Night Economy submitted by CDRC Masters Research Dissertation Programme Student. Application approved and User Agreements fully executed with research team. Safeguarded data delivered to User. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreetSensor footfall data for project 050 Understanding the impact of the Night Tube on Westminster's Night Economy . Signed CDRC User Agreements. Analysis complete. |
| Impact | Approved CDRC User application and User Agreement. Data requested for use in CDRC Research Masters Dissertation Programme project with Westminster City Council. Masters Dissertation completed and CDRC case study. |
| Start Year | 2017 |
| Description | CDRC User Application 052: Introducing night-time market(s) to boost London's economy |
| Organisation | University College London |
| Department | Bartlett Centre for Advanced Spatial Analysis |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Safeguarded SmartStreetSensor footfall data for project 052: Introducing night-time market(s) to boost London's economy submitted by Masters student. Application approved and User Agreements fully executed with research team. Safeguarded data delivered to User. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreetSensor footfall data for project 052 Understanding the impact of the Night Tube on Westminster's Night Economy . Signed CDRC User Agreements. Analysis underway. |
| Impact | Approved CDRC User application and User Agreement. Data requested for use in Masters Dissertation project with Westminster City Council. Analysis underway to be completed summer 2018. |
| Start Year | 2017 |
| Description | CDRC User Application 052: Introducing night-time market(s) to boost London's economy |
| Organisation | Westminster City Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Processed and managed data access application and review process to CDRC Safeguarded SmartStreetSensor footfall data for project 052: Introducing night-time market(s) to boost London's economy submitted by Masters student. Application approved and User Agreements fully executed with research team. Safeguarded data delivered to User. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreetSensor footfall data for project 052 Understanding the impact of the Night Tube on Westminster's Night Economy . Signed CDRC User Agreements. Analysis underway. |
| Impact | Approved CDRC User application and User Agreement. Data requested for use in Masters Dissertation project with Westminster City Council. Analysis underway to be completed summer 2018. |
| Start Year | 2017 |
| Description | CDRC User Application 055: The usage of footfall data to analyse the effect of the night tube in the Westminster area |
| Organisation | University College London |
| Department | Bartlett Centre for Advanced Spatial Analysis |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Safeguarded SmartStreetSensor footfall data for project 055: The usage of footfall data to analyse the effect of the night tube in the Westminster area submitted by Masters student. Application approved and User Agreements fully executed with research team. Safeguarded data delivered to User. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreetSensor footfall data for project 055: The usage of footfall data to analyse the effect of the night tube in the Westminster area. Project in partnership with Westminster City Council. Signed CDRC User Agreements. Analysis complete. |
| Impact | Approved CDRC User application and User Agreement. |
| Start Year | 2017 |
| Description | CDRC User Application 055: The usage of footfall data to analyse the effect of the night tube in the Westminster area |
| Organisation | Westminster City Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Processed and managed data access application and review process to CDRC Safeguarded SmartStreetSensor footfall data for project 055: The usage of footfall data to analyse the effect of the night tube in the Westminster area submitted by Masters student. Application approved and User Agreements fully executed with research team. Safeguarded data delivered to User. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreetSensor footfall data for project 055: The usage of footfall data to analyse the effect of the night tube in the Westminster area. Project in partnership with Westminster City Council. Signed CDRC User Agreements. Analysis complete. |
| Impact | Approved CDRC User application and User Agreement. |
| Start Year | 2017 |
| Description | CDRC User Application 062: HABITS: Improved policy to mitigate pollutant and inactivity related health burdens through new big data |
| Organisation | University of Leeds |
| Department | School of Geography Leeds |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Safeguarded SmartStreetSensor footfall data for project 062: HABITS: Improved policy to mitigate pollutant and inactivity related health burdens through new big data. Application approved and User Agreements fully executed with research team. Safeguarded data delivered to Users. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreetSensor footfall data for project 062: HABITS: Improved policy to mitigate pollutant and inactivity related health burdens through new big data. Signed CDRC User Agreements. Analysis underway. |
| Impact | Approved CDRC User application and User Agreements. |
| Start Year | 2017 |
| Description | CDRC User Application 075: Housing market forces and population mobility: the effects of the growth of the private rented sector in London |
| Organisation | University College London |
| Department | Department of Civil, Environmental and Geomatic Engineering |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | CDRC-Leeds managed application approval process for access to Whenfresh/Zoopla data. Managed BPSS checks and supported analysis in UCL secure lab. |
| Collaborator Contribution | Undertaken analysis for CDRC approved project 075: Housing market forces and population mobility: the effects of the growth of the private rented sector in London |
| Impact | CDRC approved user working in UCL secure lab. |
| Start Year | 2017 |
| Description | CDRC User Application 076: The Retail Performance of Bolton Town Centre and the Impact of Out-Of-Town Retailing |
| Organisation | University of Liverpool |
| Department | Department of Geography and Planning |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Safeguarded LDC Retail unit data for project 076: The Retail Performance of Bolton Town Centre and the Impact of Out-Of-Town Retailing submitted by Masters student. Application approved and User Agreements fully executed with research team. Safeguarded data delivered to User. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to LDC Retail unit data for project 076: The Retail Performance of Bolton Town Centre and the Impact of Out-Of-Town Retailing. Signed CDRC User Agreements. |
| Impact | CDRC approved project proposal and User Agreement. |
| Start Year | 2017 |
| Description | CDRC User Application 081: The role of deprivation and alcohol availability in explaining trends in violent crime |
| Organisation | University of Liverpool |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC LDC Retail unit data for project CDRC 081 The role of deprivation and alcohol availability in explaining trends in violent crime. Application approved by CDRC Research Approvals Group. |
| Collaborator Contribution | Submitted application to CDRC Secure service for access to LDC Retail unit data. Amended proposal in light of reviewers comments. User Agreements signed. |
| Impact | Approved CDRC User application and CDRC User Agreements. |
| Start Year | 2017 |
| Description | CDRC User Application 089: Impact of investments in local public goods and planning decisions on house prices, rents and equilibrium sorting |
| Organisation | University of Essex |
| Department | Department of Economics |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | CDRC-Leeds Innovation Fund project for access Whenfresh/Zoopla data. Managed BPSS checks and supported analysis in UCL secure lab. |
| Collaborator Contribution | Undertaking analysis for CDRC approved project 089: Impact of investments in local public goods and planning decisions on house prices, rents and equilibrium sorting |
| Impact | CDRC approved users working in UCL secure lab. |
| Start Year | 2018 |
| Description | CDRC User Application 090: Using small area income data to better understand society |
| Organisation | National Centre for Social Research |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | CDRC-Leeds Innovation Fund project for access to Acxiom small area income and Callcredit CAMEO data. Managed BPSS checks and supported analysis in UCL secure lab. |
| Collaborator Contribution | Undertaking analysis for CDRC approved project 090: Using small area income data to better understand society |
| Impact | CDRC approved users working in UCL secure lab. |
| Start Year | 2017 |
| Description | CDRC User Application 091: Data on housing returns for the UK, with an application to quantifying the value of local healthcare and schools quality |
| Organisation | National Institute of Economic and Social Research (NIESR) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | CDRC-Leeds Innovation Fund project for access Whenfresh/Zoopla data. Managed BPSS checks and supported analysis in UCL secure lab. |
| Collaborator Contribution | Undertaking analysis for CDRC approved project 091: Data on housing returns for the UK, with an application to quantifying the value of local healthcare and schools quality |
| Impact | CDRC approved users working in UCL secure lab. |
| Start Year | 2017 |
| Description | CDRC User Application 095: Gentrification, Displacement, and the Impacts of Council Estate Renewal in 21st Century London |
| Organisation | University of Leicester |
| Department | Department of Geography |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Consumer Register and Electoral Roll data for project CDRC 095 Gentrification, Displacement, and the Impacts of Council Estate Renewal in 21st Century London. Application approved by CDRC Research Approvals Group. |
| Collaborator Contribution | Submitted application to CDRC Secure for access to CDRC Consumer Register and Electoral Roll data for project CDRC 095 Gentrification, Displacement, and the Impacts of Council Estate Renewal in 21st Century London. User Agreement signed and analysis of data underway at secure lab, University of Leeds. |
| Impact | CDRC approved project proposal. CDRC User Agreement. |
| Start Year | 2017 |
| Description | CDRC User Application 1002: Ethnicity in the Blackdown Hills AONB |
| Organisation | Devon County Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Processed and managed data access application and review process to CDRC Modelled Ethnicity Proportions (LSOA Geography) data for research project (1 user) CDRC User Application Project 1002: Ethnicity in the Blackdown Hills AONB |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to CDRC Modelled Ethnicity Proportions (LSOA Geography) requested for research project (1 user) CDRC User Application Project 1002: Ethnicity in the Blackdown Hills AONB |
| Impact | not started - user agreement out for signing |
| Start Year | 2022 |
| Description | CDRC User Application 1009: Exploring Patterns of Urban Mobility and Movement: Local Determinants of Open Space and Retail Centre Attractiveness |
| Organisation | University of Sheffield |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Local Data Company - Retail Type, Vacancy and Address Data and HUQ Secure Dataset data for research project (2 users) CDRC User Application Project 1009: Exploring Patterns of Urban Mobility and Movement: Local Determinants of Open Space and Retail Centre Attractiveness |
| Collaborator Contribution | Submitted application to CDRC Secure service for access to Local Data Company - Retail Type, Vacancy and Address Data and HUQ Secure Dataset requested for research project (2 usera) CDRC User Application Project 1009: Exploring Patterns of Urban Mobility and Movement: Local Determinants of Open Space and Retail Centre Attractiveness |
| Impact | not started - user agreement out for signing |
| Start Year | 2022 |
| Description | CDRC User Application 1015: Lessees and Landlords |
| Organisation | London School of Economics and Political Science (University of London) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to WhenFresh/Zoopla Property Transactions, Rentals and Associated Migration data for research project (1 user) CDRC User Application Project 1015: Lessees and Landlords |
| Collaborator Contribution | Submitted application to CDRC Secure service for access to CDRC Data requested for research project (1 user) CDRC User Application Project 1015: Lessees and Landlords |
| Impact | not started - user agreement out for signing |
| Start Year | 2022 |
| Description | CDRC User Application 1025: Understanding Digital Poverty in South Yorkshire |
| Organisation | University of Sheffield |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Local Data Company - Retail Type or Vacancy Classification, Speedchecker Broadband Internet Speed Tests, and FCA Financial Lives Survey data for research project (1 user) CDRC User Application Project 1025: Understanding Digital Poverty in South Yorkshire |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Local Data Company - Retail Type or Vacancy Classification, Speedchecker Broadband Internet Speed Tests, and FCA Financial Lives Survey requested for research project (1 user) CDRC User Application Project 1025: Understanding Digital Poverty in South Yorkshire |
| Impact | not started - user agreement out for signing |
| Start Year | 2022 |
| Description | CDRC User Application 1029: Assessing the factors associated with fertility declines in London, 2010-2019. |
| Organisation | University of Southampton |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Modelled Ethnicity Proportions (LSOA Geography) data for research project (2 users) CDRC User Application Project 1029: Assessing the factors associated with fertility declines in London, 2010-2019. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to CDRC Modelled Ethnicity Proportions (LSOA Geography) requested for research project (2 users) CDRC User Application Project 1029: Assessing the factors associated with fertility declines in London, 2010-2019. |
| Impact | not started - user agreement out for signing |
| Start Year | 2022 |
| Description | CDRC User Application 1033: Bad Banks? Bank branch closures and central bank trust |
| Organisation | University of Essex |
| Department | University of Essex EssexLab |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to FCA Financial Lives Survey data for research project (1 user) CDRC User Application Project 1033: Bad Banks? Bank branch closures and central bank trust |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to FCA Financial Lives Survey requested for research project (No. User Agreements user) CDRC User Application Project 1033: Bad Banks? Bank branch closures and central bank trust |
| Impact | not started - user agreement out for signing |
| Start Year | 2022 |
| Description | CDRC User Application 1044: Toxic Housing: Why Black Londoners Live in the City's Worst Homes |
| Organisation | Bloomberg |
| Department | Bloomberg UK Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to CDRC Modelled Ethnicity Proportions (LSOA Geography) data for research project (1 user) CDRC User Application Project 1044: Toxic Housing: Why Black Londoners Live in the City's Worst Homes |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to CDRC Modelled Ethnicity Proportions (LSOA Geography) requested for research project (1 user) CDRC User Application Project 1044: Toxic Housing: Why Black Londoners Live in the City's Worst Homes |
| Impact | not started - user agreement out for signing |
| Start Year | 2022 |
| Description | CDRC User Application 104: Understanding the new digital retail landscape |
| Organisation | University College London |
| Department | Department of Geography |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC synthetic and enhanced synthetic population data for project CDRC 104 Understanding the new digital retail landscape. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to CDRC synthetic and enhanced synthetic population data for project CDRC 104 Understanding the new digital retail landscape. This request is for additional data for use in CDRC UBEL-DTP co-funded student project. Signed CDRC User Agreement. |
| Impact | CDRC approved project proposal and signed CDRC User Agreement |
| Start Year | 2017 |
| Description | CDRC User Application 1055: How has the pandemic affected the determinants of financial exclusion |
| Organisation | University of Leeds |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to FCA Financial Lives Survey data for research project (1 user) CDRC User Application Project 1055: How has the pandemic affected the determinants of financial exclusion |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to FCA Financial Lives Survey data requested for research project (1 user) CDRC User Application Project 1055: How has the pandemic affected the determinants of financial exclusion |
| Impact | not started - user agreement out for signing. |
| Start Year | 2022 |
| Description | CDRC User Application 1058: Human activity variations in response to lockdown policies during pandemic: A case study from London, UK. |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to HUQ aggregated in-app location dataset for research project (1 user) CDRC User Application Project 1058: Human activity variations in response to lockdown policies during pandemic: A case study from London, UK. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to HUQ aggregated in-app location dataset requested for research project (1 user) CDRC User Application Project 1058: Human activity variations in response to lockdown policies during pandemic: A case study from London, UK. |
| Impact | not started - user agreement out for signing. |
| Start Year | 2022 |
| Description | CDRC User Application 1062: CFOI |
| Organisation | Grant Thornton |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to FCA Financial Lives Survey data for research project (1 user) CDRC User Application Project 1062: CFOI |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to FCA Financial Lives Survey requested for research project (1 user) CDRC User Application Project 1062: CFOI |
| Impact | Not started - user agreement out for signing." |
| Start Year | 2022 |
| Description | CDRC User Application 1064: Estimating the distribution of ethnic groups across new Parliamentary Constituency boundaries |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Modelled Ethnicity Proportions (LSOA Geography) data for research project (1 user) CDRC User Application Project 1064: Estimating the distribution of ethnic groups across new Parliamentary Constituency boundaries |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to CDRC Modelled Ethnicity Proportions (LSOA Geography) requested for research project (1 user) CDRC User Application Project 1064: Estimating the distribution of ethnic groups across new Parliamentary Constituency boundaries |
| Impact | not started - user agreement out for signing. |
| Start Year | 2022 |
| Description | CDRC User Application 1071: Trend analysis of urban mobility and activity patterns using mobile app data |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to HUQ aggregated in-app location dataset for research project (1 user) CDRC User Application Project 1071: Trend analysis of urban mobility and activity patterns using mobile app data |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to HUQ aggregated in-app location dataset requested for research project (1 user) CDRC User Application Project 1071: Trend analysis of urban mobility and activity patterns using mobile app data |
| Impact | not started - user agreement out for signing. |
| Start Year | 2022 |
| Description | CDRC User Application 1079: Electoral Registration in Britain: Inequality, Reform and the Prospects for Automatic Registration.' |
| Organisation | University of Manchester |
| Department | Manchester Museum |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for Ethnicity Estimator (1 user) CDRC User Application 1079: Electoral Registration in Britain: Inequality, Reform and the Prospects for Automatic Registration. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to CDRC Ethnicity Estimator (1 user) CDRC User Application 1079: Electoral Registration in Britain: Inequality, Reform and the Prospects for Automatic Registration. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Ethnicity Estimator access provided to Users. |
| Start Year | 2022 |
| Description | CDRC User Application 108: A scale-based analysis of retail store location profitability |
| Organisation | University College London |
| Department | Department of Geography |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC to LDC SmartStreetSensor footfall data for project CDRC 108: A scale-based analysis of retail store location profitability submitted by Terje Trasberg, UCL. 2018 Access to additional data requested and approved - High Street Retailer, Fast Food Restaurant, Family Restaurant, Location Sciences and Leisure Operator. |
| Collaborator Contribution | Submitted application to CDRC Secure and safeguarded service for access to CDRC LDC SmartStreetSensor footfall data for project CDRC 108: A scale-based analysis of retail store location profitability. This request is for additional data for use in LDC CDRC UBEL-DTP co-funded student project. Signed CDRC User Agreement. |
| Impact | Approved CDRC project proposal and signed CDRC User Agreement |
| Start Year | 2017 |
| Description | CDRC User Application 1099: FCA Financial Lives Survey |
| Organisation | Department for Work and Pensions |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Processed and managed data access application and review process to the Financial Conduct Authority for the financial lives survey for research project (6 users) CDRC User Application 1099: FCA Financial Lives Survey. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to the Financial Conduct Authority for the financial lives survey for research project (6 users) CDRC User Application 1099: FCA Financial Lives Survey. |
| Impact | CDRC approved project proposal. CDRC User Agreements. Safeguarded data delivered to Users, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 109: Towards representative aggregated measures of geo-temporal human activity patterns in town centres using Wi-Fi sensor networks |
| Organisation | University College London |
| Department | Department of Geography |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC for LDC retail unit data for project CDRC 109: Towards representative aggregated measures of geo-temporal human activity patterns in town centres using Wi-Fi sensor networks. |
| Collaborator Contribution | Submitted application to CDRC Secure service for access to CDRC LDC Retail unit data for project CDRC 109 Towards representative aggregated measures of geo-temporal human activity patterns in town centres using Wi-Fi sensor networks. This request is for additional data for use in CDRC PhD studentship project. Signed CDRC User Agreement. |
| Impact | Approved CDRC project proposal and signed CDRC User Agreement |
| Start Year | 2017 |
| Description | CDRC User Application 1104: Understanding the dynamics of shared-mobility systems in medium-size urban areas: a spatial-temporal evaluation of Bike Sharing System usage in Brighton and Hove. |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Bicycle Sharing System Docking Station Observations (1 user) CDRC User Application 1104: Understanding the dynamics of shared-mobility systems in medium-size urban areas: a spatial-temporal evaluation of Bike Sharing System usage in Brighton and Hove. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Bicycle Sharing System Docking Station Observations (1 user) CDRC User Application 1104: Understanding the dynamics of shared-mobility systems in medium-size urban areas: a spatial-temporal evaluation of Bike Sharing System usage in Brighton and Hove. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to User, analysis of data complete. |
| Start Year | 2022 |
| Description | CDRC User Application 1115: Environmental Data for Change |
| Organisation | Friends of The Earth |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Processed and managed data access application and review process to Modelled Ethnicity Proportions (LSOA Geography) data for research project (2 users) CDRC User Application 1115: Environmental Data for Change. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Modelled Ethnicity Proportions (LSOA Geography) data for research project (2 users) CDRC User Application 1115: Environmental Data for Change. |
| Impact | CDRC approved project proposal. CDRC User Agreements. Safeguarded data delivered to Users, analysis of data complete. |
| Start Year | 2022 |
| Description | CDRC User Application 1125: Informal Lending: The financial lives of those who borrow from family and friends |
| Organisation | Centre for Social Justice |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Processed and managed data access application and review process to FCA Financial Lives Survey for research project (1 user) CDRC User Application 1125: Informal Lending: The financial lives of those who borrow from family and friends |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to FCA Financial Lives Survey for research project (1 user) CDRC User Application 1125: Informal Lending: The financial lives of those who borrow from family and friends |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users, analysis of data complete. |
| Start Year | 2022 |
| Description | CDRC User Application 1127: The research on Factors influencing consumers' choice of Airbnb in London |
| Organisation | University of Leeds |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Airbnb Property Rentals and Reviews (supplied by AirDNA) data for research project (2 users) CDRC User Application 1127: The research on Factors influencing consumers' choice of Airbnb in London. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Airbnb Property Rentals and Reviews (supplied by AirDNA) data for research project (2 users) CDRC User Application 1127: The research on Factors influencing consumers' choice of Airbnb in London. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users, analysis of data complete. |
| Start Year | 2022 |
| Description | CDRC User Application 1135: Minority ethnic groups and financial services |
| Organisation | Social Market Foundation |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Processed and managed data access application and review process to FCA financial lives survey for research project (3 users) CDRC User Application 1135: Minority ethnic groups and financial services. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to FCA financial lives survey for research project (3 users) CDRC User Application 1135: Minority ethnic groups and financial services. |
| Impact | CDRC approved project proposals. CDRC User Agreements. Safeguarded data delivered to Users, analysis of data complete. Report: https://www.smf.co.uk/wp-content/uploads/2023/01/Squeezed-out-or-opting-out-February-2023.pdf |
| Start Year | 2022 |
| Description | CDRC User Application 1140: Is the UK government maximising the potential of pensions as a source of investment for climate finance: an analysis of current pension policy as a source of climate finance |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to FCA Financial Lives Survey for research project (1 user) CDRC User Application 1140: Is the UK government maximising the potential of pensions as a source of investment for climate finance: an analysis of current pension policy as a source of climate finance. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to FCA Financial Lives Survey for research project (1 user) CDRC User Application 1140: Is the UK government maximising the potential of pensions as a source of investment for climate finance: an analysis of current pension policy as a source of climate finance. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to User, analysis of data complete. |
| Start Year | 2022 |
| Description | CDRC User Application 1141: Measuring changes in the urban environment in London using street view imagery |
| Organisation | Imperial College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Secure Local Data Company - Retail Type, Vacancy and Address Data; Secure Geolytix aggregated in-app location dataset; Safeguarded CDRC Distances of Residential Moves (DoRM) Index (LSOA Geography); Safeguarded CDRC Residential Mobility and Deprivation (RMD) Index (LSOA Geography); Safeguarded CDRC Modelled Ethnicity Proportions (LSOA Geography) for research project (2 users) CDRC User Application 1141: Measuring changes in the urban environment in London using street view imagery |
| Collaborator Contribution | Submitted application to CDRC Safeguarded and Secure service for access to Secure Local Data Company - Retail Type, Vacancy and Address Data; Secure Geolytix aggregated in-app location dataset; Safeguarded CDRC Distances of Residential Moves (DoRM) Index (LSOA Geography); Safeguarded CDRC Residential Mobility and Deprivation (RMD) Index (LSOA Geography); Safeguarded CDRC Modelled Ethnicity Proportions (LSOA Geography) for research project (2 users) CDRC User Application 1141: Measuring changes in the urban environment in London using street view imagery |
| Impact | CDRC approved project proposal. CDRC User Agreements. Safeguarded and Secure data delivered to Users via our Trusted Research Environment, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1142: The dementia research career pipeline: Ethnic disparities in publication authorships and grant funding outcomes at different career stages |
| Organisation | Alzheimer's Research UK |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Processed and managed data access application and review process for Ethnicity Estimator softward for research project (2 users) CDRC User Application 1142: The dementia research career pipeline: Ethnic disparities in publication authorships and grant funding outcomes at different career stages. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Ethnicity Estimator softward for research project (2 users) CDRC User Application 1142: The dementia research career pipeline: Ethnic disparities in publication authorships and grant funding outcomes at different career stages. |
| Impact | CDRC approved project proposal. CDRC User Agreements. Safeguarded software made available to Users, analysis of data complete. |
| Start Year | 2022 |
| Description | CDRC User Application 1151: How does financial regulation help in combating financial crime during the COVID-19 pandemic? An ethnic minority perspective. |
| Organisation | School of Oriental and African Studies (University of London) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to safeguarded FCA Financial Lives Survey and British Population Survey (LSOA Geography) data for research project (1 user) CDRC User Application 1151: How does financial regulation help in combating financial crime during the COVID-19 pandemic? An ethnic minority perspective. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to FCA Financial Lives Survey and British Population Survey (LSOA Geography) data for research project (1 user) CDRC User Application 1151: How does financial regulation help in combating financial crime during the COVID-19 pandemic? An ethnic minority perspective. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1158: The socio-spatial impacts of major local transport schemes |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to secure Linked Consumer Registers for research project (1 user) CDRC User Application 1158: The socio-spatial impacts of major local transport schemes. |
| Collaborator Contribution | Submitted application to CDRC Secure service for access to Linked Consumer Registers for research project (1 user) CDRC User Application 1158: The socio-spatial impacts of major local transport schemes. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Secure data access to User via Trusted Research Environment, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1163: The association of demographic and spatial factors with retail bank branch closures in Great Britain |
| Organisation | University of Leeds |
| Department | stage@leeds |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for safeguarded FCA Financial Lives Survey for research project (2 users) CDRC User Application 1163: The association of demographic and spatial factors with retail bank branch closures in Great Britain. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to FCA Financial Lives Survey for research project (2 users) CDRC User Application 1163: The association of demographic and spatial factors with retail bank branch closures in Great Britain. |
| Impact | CDRC approved project proposal. CDRC User Agreements. Safeguarded data delivered to Users, analysis of data complete. |
| Start Year | 2022 |
| Description | CDRC User Application 1169: The association of demographic and spatial factors with retail bank branch closures in Great Britain |
| Organisation | University of Leeds |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Retail Centre Indicators for research project (1 user) CDRC User Application 1169: The association of demographic and spatial factors with retail bank branch closures in Great Britain. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Retail Centre Indicators for research project (1 user) CDRC User Application 1169: The association of demographic and spatial factors with retail bank branch closures in Great Britain. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users. Data not used in the end. |
| Start Year | 2022 |
| Description | CDRC User Application 1173: Racialized People in EAU & AUA Clinical guideline Panels |
| Organisation | University of Minnesota |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for Ethnicity Estimator software for research project (1 user) CDRC User Application 1173: Racialized People in EAU & AUA Clinical guideline Panels. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Ethnicity Estimator software for research project (1 user) CDRC User Application 1173: Racialized People in EAU & AUA Clinical guideline Panels. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Access to software to users, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1175: A spatio-temporal analysis of environmental inequality in Dorset, UK. |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Modelled Ethnicity Proportions (LSOA Geography) for research project (1 user) CDRC User Application 1175: A spatio-temporal analysis of environmental inequality in Dorset, UK. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to CDRC Modelled Ethnicity Proportions (LSOA Geography) for research project (1 user) CDRC User Application 1175: A spatio-temporal analysis of environmental inequality in Dorset, UK. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to User, analysis of ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1181: Representation of BAME patients within medical education teaching |
| Organisation | University of Warwick |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Ethnicity Estimator software for research project (1 user) CDRC User Application 1181: Representation of BAME patients within medical education teaching. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Ethnicity Estimator software for research project (1 user) CDRC User Application 1181: Representation of BAME patients within medical education teaching. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Software made available to user, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1197: Intergenerational inequality, age concentration, and amenities |
| Organisation | University of Leeds |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for Ethnicity Estimator software for research project (1 user) CDRC User Application 1197: Intergenerational inequality, age concentration, and amenities. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Ethnicity Estimator software for research project (1 user) CDRC User Application 1197: Intergenerational inequality, age concentration, and amenities. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Software made available to user, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1198: Intergenerational inequality, age concentration, and amenities |
| Organisation | University of Warwick |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Residential Mobility and Deprivation (RMD) Index (LSOA Geography) data for research project (1 user) CDRC User Application 1198: Intergenerational inequality, age concentration, and amenities. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to CDRC Residential Mobility and Deprivation (RMD) Index (LSOA Geography) data for research project (1 user) CDRC User Application 1198: Intergenerational inequality, age concentration, and amenities. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 119: Ageing Populations: Understanding the Geography of Challenges, Opportunities, and Need |
| Organisation | University of Liverpool |
| Department | Department of Geography and Planning |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC BPS and YouGov safeguarded data for project CDRC 119 Ageing Populations: Understanding the Geography of Challenges, Opportunities, and Need. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to BPS and YouGov data for project. CDRC 119 Ageing Populations: Understanding the Geography of Challenges, Opportunities, and Need. |
| Impact | CDRC approved project proposal. CDRC User Agreement out for signature. |
| Start Year | 2018 |
| Description | CDRC User Application 1209: Digital Banking and the Evolving Nature of Trust in the UK |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to FCA Financial Lives Survey for research project (1 users) CDRC User Application 1209: Digital Banking and the Evolving Nature of Trust in the UK. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to FCA Financial Lives Survey for research project (1 users) CDRC User Application 1209: Digital Banking and the Evolving Nature of Trust in the UK. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users, analysis of data complete. |
| Start Year | 2022 |
| Description | CDRC User Application 1212: Board Diversity and CEO Incentives |
| Organisation | Southwestern University of Finance and Economics |
| Country | China |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for Ethnicity Estimator software for research project (1 user) CDRC User Application 1212: Board Diversity and CEO Incentives. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for Ethnicity Estimator software for research project (1 user) CDRC User Application 1212: Board Diversity and CEO Incentives. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Ethnicity Estimator software delivered to user, analysis ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1216: The "reach" of London's developing cycle network |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for CDRC Modelled Ethnicity Proportions (LSOA Geography) data for research project (2 users) CDRC User Application 1216: The "reach" of London's developing cycle network. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to CDRC Modelled Ethnicity Proportions (LSOA Geography) data for research project (2 users) CDRC User Application 1216: The "reach" of London's developing cycle network. |
| Impact | CDRC approved project proposal. CDRC User Agreements. Safeguarded data delivered to Users, analysis of data complete. |
| Start Year | 2022 |
| Description | CDRC User Application 1224: Digital Payments Research |
| Organisation | Which? |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to FCA Financial Lives Survey for research project (2 users)CDRC User Application 1224: Digital Payments Research. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to FCA Financial Lives Survey for research project (2 users)CDRC User Application 1224: Digital Payments Research. |
| Impact | CDRC approved project proposal. CDRC User Agreements. Safeguarded data delivered to Users, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1225: Efficient and transparent methods for linking and analysing longitudinal population studies and administrative data |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for Ethnicity Estimator software for research project (1 users) CDRC User Application 1225: Efficient and transparent methods for linking and analysing longitudinal population studies and administrative data. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to CDRC User Application 1225: Efficient and transparent methods for linking and analysing longitudinal population studies and administrative data. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1248: ONS Population 24/7 |
| Organisation | Office for National Statistics |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to Local Data Company - SmartStreetSensor Footfall Data - Research Aggregated data for research project (5 users) CDRC User Application 1248: ONS Population 24/7. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for Local Data Company - SmartStreetSensor Footfall Data - Research Aggregated data for research project (5 users) CDRC User Application 1248: ONS Population 24/7. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1249: Looking at young adults' approach/attitudes to taking on debt, specifically unregulated BNPL products |
| Organisation | University of Strathclyde |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to the FCA Financial Lives Survey for research project (2 users) CDRC User Application 1249: Looking at young adults' approach/attitudes to taking on debt, specifically unregulated BNPL products. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to the FCA Financial Lives Survey for research project (2 users) CDRC User Application 1249: Looking at young adults' approach/attitudes to taking on debt, specifically unregulated BNPL products. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 125: The tourism at night in the Westminster based on exploring consumer night behaviours |
| Organisation | University College London |
| Department | CoMPLEX, University College London, UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC SmartStreetSensor footfall data for Masters Dissertation project CDRC User Application 125: The tourism at night in the Westminster based on exploring consumer night behaviours (in partnership with Westminster Council). |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreetSensor footfall data for Masters dissertation project CDRC User Application 125: The tourism at night in the Westminster based on exploring consumer night behaviours (in partnership with Westminster Council). |
| Impact | CDRC approved project proposal and CDRC User Agreements. Analysis and Masters dissertation completed. |
| Start Year | 2018 |
| Description | CDRC User Application 1261: Does Greater Gender and Ethnic Diversity among Audit Partners Influence Office-Level Audit Personnel Retention and Audit Quality? |
| Organisation | Mississippi State University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for Ethnicity Estimator software for research project (1 user) CDRC User Application 1261: Does Greater Gender and Ethnic Diversity among Audit Partners Influence Office-Level Audit Personnel Retention and Audit Quality? |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Ethnicity Estimator software for research project (1 user) CDRC User Application 1261: Does Greater Gender and Ethnic Diversity among Audit Partners Influence Office-Level Audit Personnel Retention and Audit Quality? |
| Impact | CDRC approved project proposal. CDRC User Agreement. Software made available to user, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1262: Poverty Premium Measure |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to FCA Financial Lives Survey for research project (1 user) CDRC User Application 1262: Poverty Premium Measure. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to FCA Financial Lives Survey for research project (1 user) CDRC User Application 1262: Poverty Premium Measure. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to User, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1273: Scottish Welfare Fund: Ethnicity Classification |
| Organisation | Glasgow City Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Processed and managed data access application and review process for Ethnicity Estimator software for research project (1 user) CDRC User Application 1273: Scottish Welfare Fund: Ethnicity Classification. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Ethnicity Estimator software for research project (1 user) CDRC User Application 1273: Scottish Welfare Fund: Ethnicity Classification. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Software made available to user, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1274: Housing Wealth, Volatility, and the Welfare State |
| Organisation | University of Oxford |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for FCA Financial Lives Survey for research project (1 user) CDRC User Application 1274: Housing Wealth, Volatility, and the Welfare State. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to FCA Financial Lives Survey for research project (1 user) CDRC User Application 1274: Housing Wealth, Volatility, and the Welfare State. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to users, analysis of data complete. |
| Start Year | 2022 |
| Description | CDRC User Application 1288: Understanding vulnerability 2022 for Consumer Duty |
| Organisation | Nationwide Building Society |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process for FCA Financial Lives Survey for research project (2 users) CDRC User Application 1288: Understanding vulnerability 2022 for Consumer Duty. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to the FCA Financial Lives Survey for research project (2 users) CDRC User Application 1288: Understanding vulnerability 2022 for Consumer Duty. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to users, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 130: "The Beast from the East" - Visualising recent UK Weather Disruption |
| Organisation | University College London |
| Department | Bartlett Centre for Advanced Spatial Analysis |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC SmartStreetSensor footfall data for Masters group (4 students) course project CDRC 130 "The Beast from the East" - Visualising recent UK Weather Disruption |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreetSensor footfall data for Masters group (4 students) course project CDRC 130 "The Beast from the East" - Visualising recent UK Weather Disruption |
| Impact | CDRC approved project proposal and CDRC User Agreements. Analysis underway. |
| Start Year | 2018 |
| Description | CDRC User Application 1310: Modelling Financial Vulnerability for Consumer Duty in the UK |
| Organisation | University of Bath |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for FCA financial lives survey for research project (1 user) CDRC User Application 1310: Modelling Financial Vulnerability for Consumer Duty in the UK. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to FCA financial lives survey for research project (1 user) CDRC User Application 1310: Modelling Financial Vulnerability for Consumer Duty in the UK. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to users, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1315: Developing a social vulnerability index (SVI) to air pollution for Greater London |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Modelled Ethnicity Proportions (LSOA Geography) data for research project (1 user) CDRC User Application 1315: Developing a social vulnerability index (SVI) to air pollution for Greater London. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to CDRC Modelled Ethnicity Proportions (LSOA Geography) data for research project (1 user) CDRC User Application 1315: Developing a social vulnerability index (SVI) to air pollution for Greater London. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to users, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1316: Analysis of Movement Patterns in Bike Sharing System Using Deep Learning Techniques |
| Organisation | University of Bologna |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for Bicycle Sharing System Docking Station Observations data for research project (1 user) CDRC User Application 1316: Analysis of Movement Patterns in Bike Sharing System Using Deep Learning Techniques. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Bicycle Sharing System Docking Station Observations data for research project (1 user) CDRC User Application 1316: Analysis of Movement Patterns in Bike Sharing System Using Deep Learning Techniques. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to users, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1329: Academic Journal Diversity Survey |
| Organisation | King's College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for Ethnicity Estimator software for research project (1 user) CDRC User Application 1329: Academic Journal Diversity Survey. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Ethnicity Estimator software for research project (1 user) CDRC User Application 1329: Academic Journal Diversity Survey. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Software made available to user, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 1347: The role of tourism in the provision of bike sharing in selected countries |
| Organisation | Masaryk University |
| Country | Czech Republic |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to the Meddin Bike-Sharing World Map Data for research project (2 User Agreements) CDRC User Application 1347: The role of tourism in the provision of bike sharing in selected countries. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to the Meddin Bike-Sharing World Map Data for research project CDRC User Application 1347: The role of tourism in the provision of bike sharing in selected countries. |
| Impact | CDRC approved project proposal. CDRC User Agreements signed. Safeguarded data delivered to users, analysis of data underway. |
| Start Year | 2023 |
| Description | CDRC User Application 1348: Examining Social Disorganization Theory in Nottingham in the COVID lockdown periods |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for CDRC Modelled Ethnicity Proportions (LSOA Geography) data for research project (1 user) CDRC User Application 1348: Examining Social Disorganization Theory in Nottingham in the COVID lockdown periods. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to CDRC Modelled Ethnicity Proportions (LSOA Geography) data for research project (1 user) CDRC User Application 1348: Examining Social Disorganization Theory in Nottingham in the COVID lockdown periods. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to users, analysis of data ongoing. |
| Start Year | 2022 |
| Description | CDRC User Application 134: Temporal variability in access to public transport in the West Midlands |
| Organisation | University College London |
| Department | CoMPLEX, University College London, UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Regional Transport Provider data for Masters Dissertation project CDRC User Application 134: Temporal variability in access to public transport in the West Midlands. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Regional Transport Provider data for Masters dissertation project CDRC User Application 134: Temporal variability in access to public transport in the West Midlands. |
| Impact | CDRC approved project proposal and CDRC User Agreements. Analysis and Masters Dissertation completed. |
| Start Year | 2018 |
| Description | CDRC User Application 135: Understanding the urban mobility and social well-being of concessionary passengers: A smart card data analysis |
| Organisation | University College London |
| Department | Bartlett Centre for Advanced Spatial Analysis |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Regional Transport Provider controlled data for project CDRC 135 Understanding the urban mobility and social well-being of concessionary passengers: A smart card data analysis |
| Collaborator Contribution | Submitted application to CDRC Secure service for access to Regional Transport Provider controlled data for project CDRC 135 Understanding the urban mobility and social well-being of concessionary passengers: A smart card data analysis |
| Impact | CDRC approved project proposal and CDRC User Agreement |
| Start Year | 2018 |
| Description | CDRC User Application 137: BENVGSA1: Digital Visualisation |
| Organisation | University College London |
| Department | Bartlett Centre for Advanced Spatial Analysis |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC SmartStreetSensor footfall data for Masters group (4 students) course project CDRC 137 BENVGSA1: Digital Visualisation |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreetSensor footfall data for Masters group (4 students) course project CDRC 137 BENVGSA1: Digital Visualisation |
| Impact | CDRC approved project proposal. CDRC User Agreement out for signature. |
| Start Year | 2018 |
| Description | CDRC User Application 1385: Well-being and the ethnic composition of British neighbourhoods |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for CDRC Modelled Ethnicity Proportions (LSOA Geography) data for research project (2 users) CDRC User Application 1385: Well-being and the ethnic composition of British neighbourhoods. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to CDRC Modelled Ethnicity Proportions (LSOA Geography) data for research project (2 users) CDRC User Application 1385: Well-being and the ethnic composition of British neighbourhoods. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to users, analysis of data ongoing. |
| Start Year | 2023 |
| Description | CDRC User Application 138: Cognitive Modelling for Routing in Agent-Base Modelling |
| Organisation | University College London |
| Department | CoMPLEX, University College London, UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC SmartStreetSensor footfall data for research project (3 users) CDRC User Application 138: Cognitive Modelling for Routing in Agent-Base Modelling. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to CDRC SmartStreetSensor footfall data for research project (3 users) CDRC User Application 138: Cognitive Modelling for Routing in Agent-Base Modelling. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users, analysis of data underway. |
| Start Year | 2018 |
| Description | CDRC User Application 1400: An Analysis of a Fintech Customer: Individual Characteristics and Different Behaviours |
| Organisation | University of Rome Tor Vergata |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to for FCA Financial Lives Survey for research project (1 user) CDRC User Application 1400: An Analysis of a Fintech Customer: Individual Characteristics and Different Behaviours. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to FCA Financial Lives Survey for research project (1 user) CDRC User Application 1400: An Analysis of a Fintech Customer: Individual Characteristics and Different Behaviours. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to users, analysis of data ongoing. |
| Start Year | 2023 |
| Description | CDRC User Application 141: Cycling in London: A Quantitative Analysis of the Success of Expansion to the Santander Cycle Hire Scheme |
| Organisation | University College London |
| Department | CoMPLEX, University College London, UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Bicycle Sharing System Docking Stations data for Undergraduate dissertation project CDRC User Application 141: Cycling in London: A Quantitative Analysis of the Success of Expansion to the Santander Cycle Hire Scheme. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Bicycle Sharing System Docking Stations data for Undergraduate dissertation project CDRC User Application 141: Cycling in London: A Quantitative Analysis of the Success of Expansion to the Santander Cycle Hire Scheme. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to User, analysis of data underway. |
| Start Year | 2018 |
| Description | CDRC User Application 1428: Changing Elites |
| Organisation | University of Oxford |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for Ethnicity Estimator software for research project (1 user) CDRC User Application 1428: Changing Elites. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Ethnicity Estimator software for research project (1 user) CDRC User Application 1428: Changing Elites. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Software made available to user, analysis of data ongoing. |
| Start Year | 2023 |
| Description | CDRC User Application 142: Sensing Dynamic Retail Environments |
| Organisation | University of Liverpool |
| Department | Department of Geography and Planning |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC SmartStreetSensor footfall data for CDRC 142 Sensing Dynamic Retail Environments. 2018 processed and approved request for access to additional data - LDC Retail Unit. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreetSensor footfall data for CDRC 142 Sensing Dynamic Retail Environments. 2018, requested additional data - LDC Retail Unit. Undertaking PhD research |
| Impact | CDRC approved project proposal. CDRC User Agreement. |
| Start Year | 2018 |
| Description | CDRC User Application 1437: Examining the association between name properties and career success of UK neurologists |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process for Ethnicity Estimator software for research project (1 user) CDRC User Application 1437: Examining the association between name properties and career success of UK neurologists. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Ethnicity Estimator software for research project (1 user) CDRC User Application 1437: Examining the association between name properties and career success of UK neurologists. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Software made available to user, analysis of data ongoing. |
| Start Year | 2023 |
| Description | CDRC User Application 146: Political Donations of Ethnic Minorities |
| Organisation | University of Toronto |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Ethnicity Estimator software data for research project CDRC User Application 146: Political Donations of Ethnic Minorities. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Ethnicity Estimator software data for research project CDRC User Application 146: Political Donations of Ethnic Minorities. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded software delivered to User. Analysis of data underway. |
| Start Year | 2018 |
| Description | CDRC User Application 148: Segmentation to inform DWP pension communications |
| Organisation | Ipsos MORI |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to Financial Lives Survey Data for research project CDRC User Application 148: Segmentation to inform DWP pension communications. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Financial Lives Survey Data for research project CDRC User Application 148: Segmentation to inform DWP pension communications. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users. Analysis of data underway. |
| Start Year | 2018 |
| Description | CDRC User Application 149: Smart Meters and Energy Storage Solutions: Identifying consumers with a larger potential to aid the mitigation of electricity fluctuations |
| Organisation | University College London |
| Department | CoMPLEX, University College London, UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Domestic Energy Provider for Masters dissertation project CDRC User Application 149: Smart Meters and Energy Storage Solutions: Identifying consumers with a larger potential to aid the mitigation of electricity fluctuations. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Domestic Energy Provider data for Masters Dissertation project CDRC User Application 149: Smart Meters and Energy Storage Solutions: Identifying consumers with a larger potential to aid the mitigation of electricity fluctuations. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Analysis of data, Master Dissertation and poster completed. |
| Start Year | 2018 |
| Description | CDRC User Application 151: CDRC Ethnicity Estimator safeguarded data product |
| Organisation | University College London |
| Department | CoMPLEX, University College London, UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Ethnicity Estimator software application created and made available as a CDRC Safeguarded data product datasets, with regular updates, showing composition of high-level ethnicity groups in the UK, using name registers across 20 years. This product contains spatially aggregated datasets of high-level ethnicity percentage population across OAs, LSOAs and MSOAs. |
| Collaborator Contribution | Ethnicity Estimator software application created and made available as a CDRC Safeguarded data product datasets, with regular updates, showing composition of high-level ethnicity groups in the UK, using name registers across 20 years. This product contains spatially aggregated datasets of high-level ethnicity percentage population across OAs, LSOAs and MSOAs. |
| Impact | CDRC safeguarded software product (ONS is the partner) - the Modelled ethnicity proportions as included in the deliverables. Data available at https://data.cdrc.ac.uk/dataset/modelled-ethnicity-proportions Maps at https://maps.cdrc.ac.uk/#/indicators/ee_wbr/ Kandt J, Longley PA (2018) Ethnicity estimation using family naming practices. PLoS ONE 13(8): e0201774. https://doi.org/10.1371/journal.pone.0201774 |
| Start Year | 2018 |
| Description | CDRC User Application 152: Energy Theft Detection |
| Organisation | University College London |
| Department | CoMPLEX, University College London, UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Domestic Energy Provider for research project CDRC User Application 152: Energy Theft Detection. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Domestic Energy Provider data for research project CDRC User Application 152: Energy Theft Detection. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Analysis of data and research completed. |
| Start Year | 2018 |
| Description | CDRC User Application 158: Weather and the Impact on High Street Retail |
| Organisation | University of Liverpool |
| Department | Friends of the University of Liverpool |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Ethnicity Modelling Data for PhD research project CDRC User Application 158: Weather and the Impact on High Street Retail. |
| Collaborator Contribution | Submitted application to CDRC Secure for access to Bicycle Sharing System Docking Stations Data for PhD Research project CDRC User Application 158: Weather and the Impact on High Street Retail. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Analysis of data underway. |
| Start Year | 2018 |
| Description | CDRC User Application 160: Glasgow City Council Pedestrian Casualties Insight Study |
| Organisation | Agilysis Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to SmartStreetSensor Footfall Data for research project CDRC User Application 160: Glasgow City Council Pedestrian Casualties Insight Study. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreetSensor Footfall Data for research project CDRC User Application 160: Glasgow City Council Pedestrian Casualties Insight Study. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users. Analysis of data underway. 3 users |
| Start Year | 2018 |
| Description | CDRC User Application 161: Impacts of bike sharing in the city of Madrid |
| Organisation | Autonomous University of Madrid |
| Department | Astrophysics and Cosmology |
| Country | Spain |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Bicycle Sharing System Docking Stations data for research project CDRC User Application 161: Impacts of bike sharing in the city of Madrid. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Bicycle Sharing System Docking Stations data for research project CDRC User Application 161: Impacts of bike sharing in the city of Madrid. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users. Analysis of data underway. 2 users |
| Start Year | 2018 |
| Description | CDRC User Application 163: Energy Theft Detection in the UK |
| Organisation | University College London |
| Department | CoMPLEX, University College London, UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Domestic Energy Provider data for research project CDRC User Application 163: Energy Theft Detection in the UK . |
| Collaborator Contribution | Processed and managed data access application and review process to Domestic Energy Provider data for research project CDRC User Application 163: Energy Theft Detection in the UK . |
| Impact | not started |
| Start Year | 2019 |
| Description | CDRC User Application 167: Exploring the impact of urban green space on the usage of London bicycle sharing system |
| Organisation | University College London |
| Department | CoMPLEX, University College London, UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Bicycle Sharing System Docking Stations data for Masters dissertation project CDRC User Application 167: Exploring the impact of urban green space on the usage of London bicycle sharing system. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Bicycle Sharing System Docking Stations data for Masters Dissertation project CDRC User Application 167: Exploring the impact of urban green space on the usage of London bicycle sharing system. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Analysis of data and Master Dissertation completed. |
| Start Year | 2018 |
| Description | CDRC User Application 171: Delivering Community Benefit Banking for London |
| Organisation | Greater London Mutual Ltd |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Processed and managed data access application and review process to Financial Lives Survey Data for research project CDRC User Application 171: Delivering Community Benefit Banking for London. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Financial Lives Survey Data for research project CDRC User Application 171: Delivering Community Benefit Banking for London. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users. Analysis of data underway. |
| Start Year | 2018 |
| Description | CDRC User Application 172: Investigating Regional Financial Resilience in the UK |
| Organisation | University College London |
| Department | CoMPLEX, University College London, UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Financial Lives Survey data for research project CDRC User Application 172: Investigating Regional Financial Resilience in the UK. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Financial Lives Survey data for research project CDRC User Application 172: Investigating Regional Financial Resilience in the UK. |
| Impact | not started - waiting for funding approval |
| Start Year | 2019 |
| Description | CDRC User Application 174: Bike Share Toronto: Single Station Rebalancing Data |
| Organisation | Shift Transit |
| Country | United States |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to Bicycle Sharing System Docking Stations data for research project CDRC User Application 174: Bike Share Toronto: Single Station Rebalancing Data. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Bicycle Sharing System Docking Stations data for research project CDRC User Application 174: Bike Share Toronto: Single Station Rebalancing Data. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users. Analysis of data underway. 2 users |
| Start Year | 2018 |
| Description | CDRC User Application 176: Dublinbikes bicycle redistribution-truck forecasting |
| Organisation | National College of Ireland |
| Country | Ireland |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Bicycle Sharing System Docking Stations data for an undergraduate research project CDRC User Application 176: Dublinbikes bicycle redistribution-truck forecasting. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Bicycle Sharing System Docking Stations data for an undergraduate research project CDRC User Application 176: Dublinbikes bicycle redistribution-truck forecasting. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to Users. Analysis of data underway. |
| Start Year | 2018 |
| Description | CDRC User Application 177: Is Dublin City Bike Friendly |
| Organisation | University College London |
| Department | CoMPLEX, University College London, UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Bicycle Sharing System Docking Stations data for research project CDRC User Application 177: Is Dublin City Bike Friendly. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Bicycle Sharing System Docking Stations data for research project CDRC User Application 177: Is Dublin City Bike Friendly. |
| Impact | Masters project - application withdrawn following approval. |
| Start Year | 2018 |
| Description | CDRC User Application 179: The lead investor approach to equity crowdfunding |
| Organisation | University of Essex |
| Department | University of Essex EssexLab |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Ethnicity Estimator software data for research project CDRC User Application 179: The lead investor approach to equity crowdfunding. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Ethnicity Estimator software data for research project CDRC User Application 179: The lead investor approach to equity crowdfunding. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to user. Analysis of data underway. 3 users |
| Start Year | 2018 |
| Description | CDRC User Application 180: CEO Cultural Heritage and the Pricing of Audit Services |
| Organisation | Monash University |
| Department | Monash Centre for Astrophysics |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Ethnicity Estimator software data for research project CDRC User Application 180: CEO Cultural Heritage and the Pricing of Audit Services. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Ethnicity Estimator software data for research project CDRC User Application 180: CEO Cultural Heritage and the Pricing of Audit Services. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Safeguarded data delivered to user. Analysis of data underway. |
| Start Year | 2018 |
| Description | CDRC User Application 181: An investigation into the factors affecting insurance claims behaviour |
| Organisation | University of Bristol |
| Department | Avon Longitudinal Study of Parents and Children (ALSPAC) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Financial Lives Survey data for research project CDRC User Application 181: An investigation into the factors affecting insurance claims behaviour. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Financial Lives Survey data for research project CDRC User Application 181: An investigation into the factors affecting insurance claims behaviour. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Analysis of data underway. 2 users |
| Start Year | 2018 |
| Description | CDRC User Application 182: NEST Pensions |
| Organisation | National Employment Savings Trust |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Processed and managed data access application and review process to Financial Lives Survey data for research project CDRC User Application 182: NEST Pensions. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Financial Lives Survey data for research project CDRC User Application 182: NEST Pensions. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Analysis of data underway. |
| Start Year | 2018 |
| Description | CDRC User Application 183: The Hedonic Benefits of Wealth Go to The Risk Averse |
| Organisation | University College London |
| Department | CoMPLEX, University College London, UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to Financial Lives Survey data for research project CDRC User Application 183: The Hedonic Benefits of Wealth Go to The Risk Averse. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to Financial Lives Survey data for research project CDRC User Application 183: The Hedonic Benefits of Wealth Go to The Risk Averse. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Analysis of data underway. |
| Start Year | 2018 |
| Description | CDRC User Application 184: Exploring trends in the longitudinal registers of the UK adult population |
| Organisation | University College London |
| Department | CoMPLEX, University College London, UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to DataTalk Electoral Roll, DataTalk Consumer Registers and CACI Consumer Registers data for research project CDRC User Application 184: Exploring trends in the longitudinal registers of the UK adult population. |
| Collaborator Contribution | Submitted application to CDRC Secure for access to DataTalk Electoral Roll, DataTalk Consumer Registers and CACI Consumer Registers data for research project CDRC User Application 184: Exploring trends in the longitudinal registers of the UK adult population. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Analysis of data completed. |
| Start Year | 2018 |
| Description | CDRC User Application 187: Trends in urban flows: An information theory approach |
| Organisation | University College London |
| Department | CoMPLEX, University College London, UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to SmartStreetSensor Footfall Data for research project CDRC User Application 187: Trends in urban flows: An information theory approach. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded service for access to SmartStreetSensor Footfall Data for research project CDRC User Application 187: Trends in urban flows: An information theory approach. |
| Impact | CDRC approved project proposal. CDRC User Agreement. Analysis of data underway. Blog story. Murcio R. When and Where Humans Move https://citiescience.org/ |
| Start Year | 2018 |
| Description | CDRC User Application 190: A Masters Dissertation Study of Bike Hire Schemes in London, Kunshan and Chicago. A Comparative Study of Daily and Wee |