High-value datasets: from publication to impact
- 1. HIGH-VALUE DATASETS FROM PUBLICATION TO IMPACT Elena Simperl @esimperl National Open Data Conference December 3, 2020
- 2. How do people search, make sense of, and use open data?
- 3. HUMAN DATA INTERACTION FRAMEWORKS, METHODS, TOOLS
- 4. HUMAN DATA INTERACTION FRAMEWORKS, METHODS, TOOLS Frameworks and models
- 5. HUMAN DATA INTERACTION FRAMEWORKS, METHODS, TOOLS Methods and guidance
- 6. HUMAN DATA INTERACTION FRAMEWORKS, METHODS, TOOLS Tools
- 7. HUMAN DATA INTERACTION FRAMEWORKS, METHODS, TOOLS Analysis Analysis
- 8. HIGH-VALUE DATASETS UNDERSTANDING USE THROUGH BEHAVIOUR ANALYSIS TO PROVIDE GUIDANCE TO PUBLISHERS Open government data portals • Search logs • Data requests Data science platforms • Activity logs
- 9. 2018 STUDY ANALYSIS OF LOGS AND REQUESTS Four national open government data portals, 2.2 million queries from 2013 to 2016, 1500 data requests. Data search is a work-related activity. Shorter queries, include time and location, with varying levels of granularity. Explorative search, using keywords and filters. Native and external queries topically different. Data requests describe the data through boundaries and restrictions on location, time, data type, granularity. Kacprzak, E., Koesten, L., Ibáñez, L.D., Blount, T., Tennison, J. and Simperl, E., 2018. Characterising dataset search—An analysis of search logs and data requests. Journal of Web Semantics.
- 10. 2020 STUDY ANALYSIS OF LOGS 844,343 user sessions (April 18 to June 20) Characterising Dataset Search on the European Data Portal: An Analysis of Search Logs. LD Ibáñez, E Kacprzak, L Koesten, E Simperl. European Data Portal, Analytical Report 18, 2020
- 11. TOOLS TO FIND DATA EDP is used to find datasets, but it is not the only tool people use. 60% of sessions arrive to the EDP from the web. Changes in portal design impact traffic (and user experience). Covid-19 datasets were in high demand in 2020. A large majority of users visit only one section of the portal at a time. Content on the site needs to be better interlinked (both data and other pages). When links exist, people use them.
- 12. SEARCH APPROACHES AND AFFORDANCES Filters are important: 60% of native sessions use filters-only; 15-20% use keywords and filters. Common search strategies: single-filter; keywords first, then one or more filters. Popular filters are country and category. Less so: format, license. Keyword queries are short, less use of time, format and data attributes, more use of location.
- 13. SUCCESS IN DATASET SEARCH 20-40% of native queries and 8-25% of external queries are successful. Keywords + filters seem to work better. Might also be a proxy for seasoned users.
- 14. IMPLICATIONS FOR PUBLISHERS SEO strategy Filter affordances Granular location data Dataset retrieval Dataset preview pages Links between content and datasets
- 15. WHAT’S NEXT Studies on users and their information needs. Granular activity data captured and shared by portals for new studies. Portals publish lots of data. They now need to do more to become data communities.
- 16. PUBLICATIONS Talking Datasets — understanding data sensemaking behaviours. L Koesten, K Gregory, P Groth, E Simperl. Currently under review at the International Journal of Human-Computer Studies. 2020 Everything You Always Wanted to Know about a Dataset: Studies in Data Summarisation. L Koesten, E Simperl, E Kacprzak, T Blount, J Tennison. International Journal of Human-Computer Studies. 2019 Collaborative Practices with Structured Data: Do Tools Support what Users Need? L Koesten, E Kacprzak, E Simperl, J Tennison; ACM CHI Conference on Human Factors in Computing Systems, CHI 2019. Dataset search: a survey. A Chapman, E Simperl, L Koesten, G Konstantinidis, LD Ibáñez, E Kacprzak, P Groth. The International Journal on Very Large Data Bases, 2019. Characterising dataset search — An analysis of search logs and data requests. E Kacprzak, L Koesten, LD Ibáñez, T Blount, J Tennison, E Simperl; Journal of Web Semantics, 2018 Characterising Dataset Search on the European Data Portal: An Analysis of Search Logs. LD Ibáñez, E Kacprzak, L Koesten, E Simperl. European Data Portal, Analytical Report 18, 2020 The Trials and Tribulations of Working with Structured Data - a Study on Information Seeking Behaviour. L Koesten, E Kacprzak, J Tennison, E Simperl. Proceedings of ACM CHI Conference on Human Factors in Computing Systems, CHI 2017. Dataset Reuse: Toward Translating Principles to Practice. L Koesten, P Vougiouklis, E Simperl, P Groth - Patterns, 2020 Pie Chart or Pizza: Identifying Chart Types and Their Virality on Twitter - P Vougiouklis, L Carr, E Simperl - Proceedings of the International AAAI Conference on Web and Social Media, 2020