A Framework to Identify Data Governance Requirements in Open Data Ecosystems

Authors

Armin Haberl, University of Graz, Business Analytics and Data Science-Center, Styria, AustriaFollow
Christine Dagmar Malin, University of Graz, Business Analytics and Data Science-Center, Styria, AustriaFollow
Stefan Thalmann, University of Graz, Business Analytics and Data Science-Center, Styria, AustriaFollow

Abstract

Open data and open data ecosystems (ODEs) are important for stakeholders from science, businesses, and the broader society. However, concerns about data sharing and data handling are significant adoption barriers of ODEs that reduce stakeholder participation and thus the success of the initiative. Data governance (DG) is proposed as solution, but requirements of the three stakeholder groups combined are not clear and especially how they can be integrated in one DG concept. This paper develops a framework, supporting elicitation of DG requirements in ODEs. The framework builds on a series of stakeholder workshops and literature research resulting in DG requirements and DG mechanisms. The resulting framework includes five main dimensions: (1) data usability, (2) ethical and legal compliance, (3) data lineage, (4) data access and specified data use, and (5) organizational design.

Recommended Citation

Haberl, Armin; Dagmar Malin, Christine; and Thalmann, Stefan, "A Framework to Identify Data Governance Requirements in Open Data Ecosystems" (2022). Bled 2022 Proceedings. 18.
https://aisel.aisnet.org/bled2022/18