Seeing Data: are good big data visualisations possible?
Lead Research Organisation:
University of Sheffield
Department Name: Sociological Studies
Abstract
Seeing Data focuses on how people perceive representations of big data; that is, data visualisations. The proposed research starts from the premise that data are constructed by human decisions made during the data generation process. They are never raw, but always cooked (Bowker 2005); they do not just exist, but need to be generated (Manovich 2011). But big data are often assumed to 'just exist', and their representation through visualisations are taken as windows onto the world, even though some commentators have highlighted the dangers of such assumptions. For example Crawford (2013) states that 'the map is not the territory' in order to warn us against seeing visual representations of things as the things themselves.
A second premise of the research is that the main way in which the general public gets to access big data is through data visualisations, 'the representation and presentation of data that exploits our visual perception abilities in order to amplify cognition' (Kirk 2013). Data visualisations, like the big data on which they are often based, are becoming increasingly ubiquitous: David McCandless's billion-dollar-o-gram, an animated visualisation of years lost due to US gun deaths and the website We Feel Fine which captures sentiment expressed online are just three examples of widely circulating data visualisations.
If big data are constructed by the ways in which they are generated and if data visualisations are the main source of popular access to big data, then critical questions about the role of data visualisations need to be asked. We need to explore whether, given these factors, effective big data visualisations are ever possible, and if so, how effectiveness might be measured. In order to answer these questions, more understanding of the reception of data visualisations is needed. Seeing Data addresses this issue. The proposed research involves generating big data, combining it with existing data, visualizing that data, and examining the reception of these visualisations amongst the general public, who are the main consumers of data visualisations. Through these methods, the research will develop understanding of the reception of data visualisations, which will then be shared with the producers and consumers of such visualisations. Thus the research aims to enhance both the production and consumption of data visualisations.
Questions about the reception of big data visualisations will be addressed through collaborative research carried out by a new media scholar, a data visualisation expert, a social science researcher working with large scale data and a visual communications scholar. Our empirical research takes as a case study data about a contentious social issue, migration, which is held by the Migration Observatory (MigObs) at the University of Oxford. MigObs aims to provide impartial, evidence-based analysis of data on migration and migrants in the UK, to inform media, public and policy debates; our research will explore whether data visualisations make it possible to meet this aim. Combining existing data about migration with newly-generated datasets, we will recruit field-leading data visualizers to produce visualisations of MigObs data. We will examine the reception of these visualisations in detail through in-depth focus group discussions with consumers of visualisations from the general public. To support this case study, we will also ask other consumers to keep diaries of their encounters with data visualisations in their everyday lives and their reactions to them. Thus we will explore whether effective big data visualisations are possible, given the constructedness of data and visualisations, what effectiveness might mean in this context and how effectiveness might be measured. We will also concretely help MigObs address some of the challenges it faces in clearly communicating its data to a range of stakeholders.
A second premise of the research is that the main way in which the general public gets to access big data is through data visualisations, 'the representation and presentation of data that exploits our visual perception abilities in order to amplify cognition' (Kirk 2013). Data visualisations, like the big data on which they are often based, are becoming increasingly ubiquitous: David McCandless's billion-dollar-o-gram, an animated visualisation of years lost due to US gun deaths and the website We Feel Fine which captures sentiment expressed online are just three examples of widely circulating data visualisations.
If big data are constructed by the ways in which they are generated and if data visualisations are the main source of popular access to big data, then critical questions about the role of data visualisations need to be asked. We need to explore whether, given these factors, effective big data visualisations are ever possible, and if so, how effectiveness might be measured. In order to answer these questions, more understanding of the reception of data visualisations is needed. Seeing Data addresses this issue. The proposed research involves generating big data, combining it with existing data, visualizing that data, and examining the reception of these visualisations amongst the general public, who are the main consumers of data visualisations. Through these methods, the research will develop understanding of the reception of data visualisations, which will then be shared with the producers and consumers of such visualisations. Thus the research aims to enhance both the production and consumption of data visualisations.
Questions about the reception of big data visualisations will be addressed through collaborative research carried out by a new media scholar, a data visualisation expert, a social science researcher working with large scale data and a visual communications scholar. Our empirical research takes as a case study data about a contentious social issue, migration, which is held by the Migration Observatory (MigObs) at the University of Oxford. MigObs aims to provide impartial, evidence-based analysis of data on migration and migrants in the UK, to inform media, public and policy debates; our research will explore whether data visualisations make it possible to meet this aim. Combining existing data about migration with newly-generated datasets, we will recruit field-leading data visualizers to produce visualisations of MigObs data. We will examine the reception of these visualisations in detail through in-depth focus group discussions with consumers of visualisations from the general public. To support this case study, we will also ask other consumers to keep diaries of their encounters with data visualisations in their everyday lives and their reactions to them. Thus we will explore whether effective big data visualisations are possible, given the constructedness of data and visualisations, what effectiveness might mean in this context and how effectiveness might be measured. We will also concretely help MigObs address some of the challenges it faces in clearly communicating its data to a range of stakeholders.
Planned Impact
The two main non-academic beneficiaries of the research are ordinary consumers of visualisations and data visualisation professionals.
Seeing Data aims to have an impact on ordinary consumers of data visualisations, helping them to develop their visualisation literacy through a project website entitled 'Making Sense of Visualisations' which will be publicized through a series of launch events. This will be the first known resource actively targeted at the general public which aims to develop such literacy. It will draw from knowledge about the reception of data visualisations developed through the research. It will be designed to acquaint site visitors with a range of contemporary visualisation techniques and the limitations of data visualisations. Once Seeing Data is complete, we will explore the possibilities of a) developing the content of this website into an eBook or App with financial support from the University of Leeds and b) embedding this resource within secondary level curricula.
We also aim to have an impact on the practice of data visualization. Much current practice in this sector is based on the gut feelings, design instincts and aesthetic preferences of data visualisation professionals. Very little empirical research has been done with consumers of visualisations to understand the reception of visualisations. Thus the project will contribute much-needed knowledge to the sector, which we hope will form the basis of future visualisation practice. In order to have this impact, industry professionals will be engaged in the research in a number of ways. The involvement of Kirk as an equal partner in this research provides direct access to leading practitioners globally and guarantees the project's ability to have an impact on the field. Seeing Data involves engaging four data visualisation professionals to produce visualisations of migration data that will be used as a case study in the research. This constitutes another form of knowledge exchange, in that ideas exchanged in the process of collaboration may impact on the ways in which all parties approach their work. The research findings will also be disseminated at key sector events (such as EuroVis and Strata Conference) and online via a range of outlets: our project website; Kirk's Visualising Data blog; on Twitter; and in other online spaces.
The research will also have a positive impact on the work of MigObs, helping it to address the challenges it faces in clearly communicating its data to a range of stakeholders. The visualisations produced through this project will enhance the ability of MigObs to communicate migration data effectively to a wide audience. Understanding of the reception of visualisations developed on the project will help MigObs in the longer-term task of implementing best practice and developing mechanisms for assessing the effectiveness of its visualisations. In addition, as the research addresses two issues of contemporary concern - a) how big data visualisations get consumed by the general public, and b) migration - it provides excellent opportunities for media coverage. We will exploit media engagement opportunities to communicate our research to the general public which may also result in a range of impacts.
Seeing Data aims to have an impact on ordinary consumers of data visualisations, helping them to develop their visualisation literacy through a project website entitled 'Making Sense of Visualisations' which will be publicized through a series of launch events. This will be the first known resource actively targeted at the general public which aims to develop such literacy. It will draw from knowledge about the reception of data visualisations developed through the research. It will be designed to acquaint site visitors with a range of contemporary visualisation techniques and the limitations of data visualisations. Once Seeing Data is complete, we will explore the possibilities of a) developing the content of this website into an eBook or App with financial support from the University of Leeds and b) embedding this resource within secondary level curricula.
We also aim to have an impact on the practice of data visualization. Much current practice in this sector is based on the gut feelings, design instincts and aesthetic preferences of data visualisation professionals. Very little empirical research has been done with consumers of visualisations to understand the reception of visualisations. Thus the project will contribute much-needed knowledge to the sector, which we hope will form the basis of future visualisation practice. In order to have this impact, industry professionals will be engaged in the research in a number of ways. The involvement of Kirk as an equal partner in this research provides direct access to leading practitioners globally and guarantees the project's ability to have an impact on the field. Seeing Data involves engaging four data visualisation professionals to produce visualisations of migration data that will be used as a case study in the research. This constitutes another form of knowledge exchange, in that ideas exchanged in the process of collaboration may impact on the ways in which all parties approach their work. The research findings will also be disseminated at key sector events (such as EuroVis and Strata Conference) and online via a range of outlets: our project website; Kirk's Visualising Data blog; on Twitter; and in other online spaces.
The research will also have a positive impact on the work of MigObs, helping it to address the challenges it faces in clearly communicating its data to a range of stakeholders. The visualisations produced through this project will enhance the ability of MigObs to communicate migration data effectively to a wide audience. Understanding of the reception of visualisations developed on the project will help MigObs in the longer-term task of implementing best practice and developing mechanisms for assessing the effectiveness of its visualisations. In addition, as the research addresses two issues of contemporary concern - a) how big data visualisations get consumed by the general public, and b) migration - it provides excellent opportunities for media coverage. We will exploit media engagement opportunities to communicate our research to the general public which may also result in a range of impacts.
Publications
Allen W
(2017)
Making corpus data visible: visualising text with research intermediaries
in Corpora
Allen WL
(2018)
Visual brokerage: Communicating data and research through visualisation.
in Public understanding of science (Bristol, England)
Hill R
(2016)
Visualizing Junk Big Data Visualizations and the Need for Feminist Data Studies
in Journal of Communication Inquiry
Kennedy H
(2017)
The Feeling of Numbers: Emotions in Everyday Engagements with Data and Their Visualisation
in Sociology
Kennedy H
(2016)
The Pleasure and Pain of Visualizing Data in Times of Data Power
in Television & New Media
Kennedy H
(2016)
Engaging with (big) data visualizations: Factors that affect engagement and resulting new definitions of effectiveness
in First Monday
Kennedy H
(2017)
The SAGE Handbook of Online Research Methods
Kennedy H
(2016)
The work that visualisation conventions do
in Information, Communication & Society
Description | 1. These factors affect engagement with data visualisation: subject matter; source/media location; beliefs and opinions; confidence in ability to make sense of them; emotions. 2. Emotions play an important role in shaping engagement with data visualisation. Users respond emotionally to: the data themselves; the visual style and design of visualisations; subkect matter; source/location; perceived skills to decode. 3. Findings listed in (1) and (2) have implications for how we define the effectiveness of a visualisation, and for how we approach statistical education. We need to define effectiveness more broadly, moving beyond notions of speed of comprehension and memorability. And given the important role played by emotions in engaging with datavis, we need to consider what feelings-based/arts-based (rather than cognitive/rational) approaches to statistical education might make possible. 4. Conventions used in visualisations play a role in making visualisations and the data within them seem objective. They constrain visualisers from fully realising their objective of making data accessible and transparent through visualisations. |
Exploitation Route | Research into different approaches to statistical education. Scaling up this qualitative study, to involve larger numbers, carry out online, do international comparison etc. Research into how to promote visualisation literacy. Research into how visualisers can account for diversity in their audiences. |
Sectors | Creative Economy Digital/Communication/Information Technologies (including Software) Education |
URL | http://seeingdata.org/ |
Description | It has had an impact on the visualisation practice of Andy Kirk, who was a partner on the research. I believe it will impact on other data visualisers too, but it is too early to record details on this. |
First Year Of Impact | 2015 |
Sector | Creative Economy,Digital/Communication/Information Technologies (including Software) |
Impact Types | Cultural Societal |
Description | Big talk about big data |
Amount | £3,970 (GBP) |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 01/2014 |
End | 08/2014 |
Description | Magdalen Fellow by Examination in Political and Development Studies (Junior Research Fellowship) |
Amount | £116,523 (GBP) |
Organisation | University of Oxford |
Department | Magdalen College Oxford |
Sector | Academic/University |
Country | United Kingdom |
Start | 09/2018 |
End | 09/2021 |
Description | Norwegian Media Authority Research Funds |
Amount | kr 116,000 (NOK) |
Organisation | Norwegian Media Authority |
Sector | Public |
Country | Norway |
Start | 03/2016 |
End | 06/2017 |
Description | Relating to Data: understanding data through visualisations |
Amount | £173,586 (GBP) |
Organisation | Economic and Social Research Council |
Sector | Public |
Country | United Kingdom |
Start | 09/2016 |
End | 09/2019 |
Description | Research Council of Norway Research Grants |
Amount | kr 229,000 (NOK) |
Funding ID | 259536/F10 |
Organisation | Research Council of Norway |
Sector | Public |
Country | Norway |
Start | 08/2016 |
End | 12/2019 |
Description | What can data visualisation do? (ESRC Festival of Social Science event) |
Amount | £1,500 (GBP) |
Organisation | Economic and Social Research Council |
Sector | Public |
Country | United Kingdom |
Start | 11/2015 |
End | 11/2015 |
Title | Seeing Data: are good big data visualisations possible? |
Description | Seeing Data (http://seeingdata.org/original-seeing-data-research/) aimed to understand how people make sense of data visualisations.The Seeing Data website includes a full description of the research aims and of the methods that we used, and links to all publications (journal articles, books and book chapters, blog posts, webinars, podcasts etc) that resulted from the project. Links to the visualisations we used in our focus group research can be found here: http://seeingdata.org/developing-visualisation-literacy/rate-these-visualisations/. |
Type Of Material | Database/Collection of data |
Year Produced | 2017 |
Provided To Others? | Yes |
URL | https://figshare.shef.ac.uk/articles/dataset/Seeing_Data_are_good_big_data_visualisations_possible_/... |
Title | Seeing Data: are good big data visualisations possible? |
Description | Seeing Data (http://seeingdata.org/original-seeing-data-research/) aimed to understand how people make sense of data visualisations.The Seeing Data website includes a full description of the research aims and of the methods that we used, and links to all publications (journal articles, books and book chapters, blog posts, webinars, podcasts etc) that resulted from the project. Links to the visualisations we used in our focus group research can be found here: http://seeingdata.org/developing-visualisation-literacy/rate-these-visualisations/. |
Type Of Material | Database/Collection of data |
Year Produced | 2017 |
Provided To Others? | Yes |
URL | https://figshare.shef.ac.uk/articles/dataset/Seeing_Data_are_good_big_data_visualisations_possible_/... |
Description | Seeing Data partners |
Organisation | Clever Franke |
Country | Netherlands |
Sector | Private |
PI Contribution | We (the research team) were equal partners with Visualising Data in the research. We commissioned Clever Franke to produce data visualisations to use as case studies in the research. We have since submitted several collaborative grant applications with both organisations, some of them successful. |
Collaborator Contribution | We (the research team) were equal partners with Visualising Data in the research. We commissioned Clever Franke to produce data visualisations to use as case studies in the research. We have since submitted several collaborative grant applications with both organisations, some of them successful. |
Impact | All Seeing Data attributed awards result from the collaboration with Clever Franke. Most Seeing Data attributed engagement activities result from the collaboration with Visualising Data. |
Start Year | 2014 |
Description | Seeing Data partners |
Organisation | Visualising Data |
Country | United Kingdom |
Sector | Private |
PI Contribution | We (the research team) were equal partners with Visualising Data in the research. We commissioned Clever Franke to produce data visualisations to use as case studies in the research. We have since submitted several collaborative grant applications with both organisations, some of them successful. |
Collaborator Contribution | We (the research team) were equal partners with Visualising Data in the research. We commissioned Clever Franke to produce data visualisations to use as case studies in the research. We have since submitted several collaborative grant applications with both organisations, some of them successful. |
Impact | All Seeing Data attributed awards result from the collaboration with Clever Franke. Most Seeing Data attributed engagement activities result from the collaboration with Visualising Data. |
Start Year | 2014 |
Title | Seeing Data website |
Description | 'Understanding Data Visualisation' (http://seeingdata.org/understanding-data-visualisations/) is an interactive, online resource to help non-experts develop their understanding of data visualisation. |
Type Of Technology | Webtool/Application |
Year Produced | 2015 |
Impact | Not yet known. |
URL | http://seeingdata.org/understanding-data-visualisations/ |
Description | Data Stories podcast |
Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Forthcoming Data Stories podcast, by Helen Kennedy & Andy Kirk |
Year(s) Of Engagement Activity | 2016 |
URL | http://datastori.es/ |
Description | Data Visualisation Literacy: learning to see (tableau) |
Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Webinar for Tableau, data visualisation software producers. Delivered by Andy Kirk. Webinar here: http://www.tableau.com/learn/webinars/data-literacy-learning-to-see?es_p=847905 Slides here: http://www.visualisingdata.com/2015/09/talk-slides-from-second-tableau-2015-webinar/ |
Year(s) Of Engagement Activity | 2015 |
URL | http://www.tableau.com/learn/webinars/data-literacy-learning-to-see?es_p=847905 |
Description | Data Visualisation event for Jam Packed (Leeds) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Schools |
Results and Impact | A workshop as part of Jam Packed 2015, a series of community computing events (https://jampackeduk.wordpress.com/), targeted at early secondary school children. |
Year(s) Of Engagement Activity | 2015 |
URL | https://jampackeduk.wordpress.com/ |
Description | Data is social! (Oxford) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Public/other audiences |
Results and Impact | An interactive talk as part of the Ashmolean Museum, Oxford's, Live Friday! series, where the museum opens up on Friday evenings to the general public, with a series of live events & performances relating to a theme. The talk 'data is social!' was delivered in the March 2015 event on the theme of social animals. Delivered by William Allen. |
Year(s) Of Engagement Activity | 2015 |
URL | http://www.ashmolean.org/livefriday/ |
Description | Developing Visualisation Literacy (Oxford/Sheffield) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Other audiences |
Results and Impact | A workshop, delivered twice, in Oxford and in Sheffield, to academics interested in developing their visualisation literacy (so not targeted at people already knowledgeable about visualisation). |
Year(s) Of Engagement Activity | 2015 |
Description | How Do Civil Society Organisations Perceive 'Evidence-Based' Research, and What Opportunities Does This Present for Research Practice? (NCVO) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Third sector organisations |
Results and Impact | Seminar at NCVO (National Council for Voluntary Organisations) conference |
Year(s) Of Engagement Activity | 2015 |
Description | How migration visualisations persuade us that they are correct |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Media (as a channel to the public) |
Results and Impact | Blog post on COMPAS (Centre on Migration, Policy & Society, University of Oxford) blog |
Year(s) Of Engagement Activity | 2016 |
URL | http://www.compas.ox.ac.uk/2016/how-migration-visualisations-persuade-us-that-they-are-correct/ |
Description | How people engage with data visualisations and why it matters, CILIP (Chartered Institute of Library & Info Professionals) blog post |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Blog post for Chartered Institute of Library & Info Professionals blog. Second most popular post on the blog of 2015. |
Year(s) Of Engagement Activity | 2015 |
Description | How people respond to data visualisations (Sheffield) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Professional Practitioners |
Results and Impact | A talk to the local branch of the Royal Statistical Society, delivered by Helen Kennedy. |
Year(s) Of Engagement Activity | 2016 |
Description | How people respond to data visualisations (Sheffield) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | A talk as part of Government Researchers North / Department of BIS one-day regional conference held in Sheffield in December 2015. Delivered by Helen Kennedy. |
Year(s) Of Engagement Activity | 2015 |
Description | How people respond to data visualisations and why this matters, RSS national conference |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | A talk at the Royal Statistical Society (RSS) national conference |
Year(s) Of Engagement Activity | 2016 |
Description | Seeing Data website |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | The Seeing Data (http://seeingdata.org/) website is engagement focused - it aims to help non-experts develop visualisation literacy and to inform them about our research findings. |
Year(s) Of Engagement Activity | 2015 |
URL | http://seeingdata.org/ |
Description | Seeing Data, Feeling Numbers: responding emotionally to data visualisations |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Other audiences |
Results and Impact | Feature in an AHRC Booklet entitled 'Big Data in the Arts & Humanities: some arts and humanities research council projects' |
Year(s) Of Engagement Activity | 2015 |
Description | Seeing Data: Visualisation design should consider how we respond to statistics emotionally as well as rationally (LSE impact blog post) |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | Blogpost for LSE Impact Blog, statistics re. reach not yet known. |
Year(s) Of Engagement Activity | 2015 |
URL | http://blogs.lse.ac.uk/impactofsocialsciences/2015/07/22/seeing-data-how-people-engage-with-data-vis... |
Description | Seeing Data: are good big data visualisations possible? |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | Part of Leeds Digital which aims to make connections between businesses, start up, researchers, open data groups, civil servants. |
Year(s) Of Engagement Activity | 2017 |
Description | Seeing Data: how do people engage with data visualisations & what does this mean for academics? |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Postgraduate students |
Results and Impact | A talk at a PhD training day on visual methods, for White Rose PhD students. |
Year(s) Of Engagement Activity | 2015 |
Description | Seeing Data: how do people engage with data visualisations? webinar |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | A webinar about Seeing Data research, with approx 20 participants, some of whom followed up suggesting future research collaboration. |
Year(s) Of Engagement Activity | 2015 |
Description | Talking Data Visualization Research (policyviz) |
Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Podcast for PolicyViz website, delivered by Andy Kirk. |
Year(s) Of Engagement Activity | 2015 |
URL | http://policyviz.com/talking-data-visualization-research-andy-kirk/ |
Description | Views from Seeing Data: three blogposts on Visualising Data website/blog. |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Three blogposts reporting on Seeing Data research findings on widely-read Visualising Data website: http://www.visualisingdata.com/2015/10/views-from-seeing-data-research-part-1/ http://www.visualisingdata.com/2015/12/views-from-seeing-data-research-part-2/ http://www.visualisingdata.com/2016/02/views-from-seeing-data-research-part-3/. |
Year(s) Of Engagement Activity | 2015,2016 |
URL | http://www.visualisingdata.com/2015/10/views-from-seeing-data-research-part-1/ |
Description | Visualisation: same data, different experience (print publication) |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Article in Significance, the magazine of the Royal Statistical Society. By Helen Kennedy & Andy Kirk. |
Year(s) Of Engagement Activity | 2016 |
URL | http://onlinelibrary.wiley.com/enhanced/doi/10.1111/j.1740-9713.2016.00876.x |
Description | Visualising Data workshops |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Andy Kirk regularly delivers training workshops through his consultancy Visualising Data (http://www.visualisingdata.com/training/). As a result of collaborating on Seeing Data, these workshops are now informed by, and refer to, Seeing Data research findings. |
Year(s) Of Engagement Activity | 2015,2016 |
URL | http://www.visualisingdata.com/training/ |
Description | Visualising UK Immigration For and With Non-Academics: Visual Literacy, Engagement |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Professional Practitioners |
Results and Impact | Visualising UK Immigration For and With Non-Academics: Visual Literacy, Engagement, Impact. Centre for Digital Scholarship Seminar, 2 February, Oxford, UK. Audience: library professionals, digital humanities scholars Number: c. 10 |
Year(s) Of Engagement Activity | 2016 |
URL | http://blogs.bodleian.ox.ac.uk/digital/2016/01/18/william-allen/ |
Description | What Can Data Visualisation Do For Your Research? (Engage, Oxford) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Other audiences |
Results and Impact | Engage: What Can Data Visualisation Do For Your Research? University of Oxford IT and Information Skills Series, March, Oxford, UK. Audience: general university members, all disciplines |
Year(s) Of Engagement Activity | 2016 |
Description | What Can Data Visualisation Do For Your Research? (Engage, Oxford) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Other audiences |
Results and Impact | Engage: What Can Data Visualisation Do For Your Research? University of Oxford IT and Information Skills Series, March, Oxford, UK. Audience: general university members, all disciplines |
Year(s) Of Engagement Activity | 2016 |
Description | What can data visualisation do? Sheffield |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Half-day event for professionals & public as part of ESRC Festival of Social Science. |
Year(s) Of Engagement Activity | 2015 |
URL | http://www.sheffield.ac.uk/faculty/social-sciences/digital-society-network/events1/whatcandatavisdo |
Description | Why Visualising Immigration Matters |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Professional Practitioners |
Results and Impact | Why Visualising Immigration Matters. Academic IT Services Live Data Project, 16 November, Oxford, UK. Audience: mix of IT professionals, researchers on visualisation |
Year(s) Of Engagement Activity | 2015 |
Description | Why should social scientists in migration studies care about big data? |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | Blogpost on COMPAS (Centre on Migration, Policy & Society, University of Oxford) blog |
Year(s) Of Engagement Activity | 2014 |
URL | http://www.compas.ox.ac.uk/2014/why-should-social-scientists-in-migration-studies-care-about-big-dat... |