An ecosystem perspective on developing data collaboratives for addressing societal issues

The role of conveners

Datos Bibliográficos

ID12080159
AutoresIryna Susha (0000-0001-9071-1989, Örebro University, autor de correspondencia), Tijs A Van Den Broek (0000-0002-8686-7312), Anne-Fleur van Veenstra, Johan Linåker (0000-0001-9851-1404)
Año2022
Volumen40
Número1
Páginas101763-101763
Fecha de publicación2022-10-14
Open AccessSí
TipoARTICLE
RevistaGovernment Information Quarterly (JOURNAL)
Identificadores de la revistaISSN: 0740-624X • E-ISSN: 1872-9517
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.giq.2022.101763
OpenAlexW4306177094
IdiomaEN
Citas recibidas8
Referencias citadas36

With the open and big data movement in full swing, data sharing becomes more ubiquitous and more often crosses sectoral boundaries. The promise of data to help address societal issues and foster innovation requires public organizations to work together with businesses and researchers. Data collaboratives whereby actors collaborate to share and use data for public good gain increasing interest. Most of these collaborations, however, tend to be one-off, small, and limited in impact due to a complex web of legal, technical, ethical, commercial, and organizational challenges. Initiators of data collaboratives, termed as conveners, can potentially alleviate some of these concerns by playing various roles in developing a more sustainable data ecosystem for the data collaboratives. Our study investigates what convener roles are perceived to be critical in developing data collaboratives. By drawing on data ecosystems thinking, we developed a framework of convener roles and sub-roles which we further used to analyze four cases in the Netherlands and Sweden. We conclude that connecting role and learning catalyst role are critical at the initiation stage, while stimulating and mediating roles emerge as future critical roles as the data ecosystem develops. We further identified convener meta-roles that are associated with particular data ecosystem structures (keystone-centric, marketplace-based, intermediary-based, and platform-centric). Our research can be instrumental to actors leading the efforts of creating such data ecosystems as it provides insights on the needs and resources that can be leveraged to stimulate development and innovation

Biology · Data science · Ecosystem · Environmental resource management · Perspective (graphical · Computer Science · Data Quality and Management · Environmental Science · Information Systems Theories and Implementation · Scientific Computing and Data Management · Ecology

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