Print Email Facebook Twitter Data Collaboratives Title Data Collaboratives: How to create value from data for public problem solving? Panel Author Susha, I. (TU Delft Information and Communication Technology) Verhulst, Stefaan (New York University) Janssen, M.F.W.H.A. (TU Delft Information and Communication Technology) Pardo, Theresa (University at Albany - State University of New York) Date 2017 Abstract This panel is dedicated to the theme of 'data collaboratives', a novel form of public private partnership to leverage data for addressing societal challenges. The panel brings together prolific researchers and practitioners to share lessons and discuss how value is created from data collaboratives for the solving of public problems. The panel will highlight prominent examples of data collaboratives at international, national, and regional/city-levels and discuss the value creation mechanisms underlying them, as well as more broadly best practices and challenges associated with data collaboratives. The panel offers an opportunity for conference attendees to engage with this emerging new theme through interactive discussions and presentations of cutting-edge research and practice. Subject Big dataData collaborativesData scienceOpen dataSocietal challengesValue creation To reference this document use: http://resolver.tudelft.nl/uuid:72423261-8723-4b2e-962a-c0d5bda2c222 DOI https://doi.org/10.1145/3085228.3085309 Publisher Association for Computing Machinery (ACM) ISBN 9781450353175 Source DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government, Part F128275 Event 18th Annual International Conference on Digital Government Research, DG.O 2017, 2017-06-07 → 2017-06-09, Staten Island, United States Part of collection Institutional Repository Document type conference paper Rights © 2017 I. Susha, Stefaan Verhulst, M.F.W.H.A. Janssen, Theresa Pardo Files PDF p604_Susha.pdf 200.61 KB Close viewer /islandora/object/uuid:72423261-8723-4b2e-962a-c0d5bda2c222/datastream/OBJ/view