Data Collaboratives as a New Frontier of Cross-Sector Partnerships in the Age of Open Data: Taxonomy Development

Iryna Susha, Marijn Janssen, Stefaan Verhulst

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

Data collaboratives present a new form of cross-sector and public-private partnership to leverage (often corporate) data for addressing a societal challenge. They can be seen as the latest attempt to make data accessible to solve public problems. Although an increasing number of initiatives can be found, there is hardly any analysis of these emerging practices. This paper seeks to develop a taxonomy of forms of data collaboratives. The taxonomy consists of six dimensions related to data sharing and eight dimensions related to data use. Our analysis shows that data collaboratives exist in a variety of models. The taxonomy can help organizations to find a suitable form when shaping their efforts to create public value from corporate and other data. The use of data is not only dependent on the organizational arrangement, but also on aspects like the type of policy problem, incentives for use, and the expected outcome of data collaborative.
Original languageEnglish
Title of host publicationProceedings of the 50th Hawaii International Conference on System Sciences
PublisherUniversity of Hawaii
Pages2691-2700
Volume50
ISBN (Print)978-0-9981331-0-2
DOIs
Publication statusPublished - 2017
Event50th Hawaii International Conference on System Sciences - Hawaii, United States
Duration: 4 Jan 20177 Jan 2017
Conference number: 50

Conference

Conference50th Hawaii International Conference on System Sciences
CountryUnited States
CityHawaii
Period4/01/177/01/17

Keywords

  • big data
  • cross sector partnership
  • data collaborative
  • data sharing
  • open data

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