Data Governance Strategies for Data Platforms - A Multiple Case Study in Nursing Care

Rahel Gubser, Matthias Schulte-Althoff, Nils Heinemann, Jörg Pohle, Daniel Fürstenau

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review


It is long established that data from platforms can be useful for deriving patterned insights into people’s behavior and conduct. Data platforms are important in fields with limited data availability and strict regulatory and hierarchical structures, such as healthcare and nursing analytics. Hence, we carefully examine three forerunner initiatives in establishing data platforms in the context of nursing care along normative, organizational, and technical dimensions of governance. The cases were selected due to their high level of comparability and to demonstrate three different types of data governance strategies understood as actions to reconcile conflicting interests regarding data and dealing with prevalent data protection law – ranging from strictly processual approaches to the creation of synthetic data. These findings highlight the importance of considering data governance strategies concisely when building data platforms and suggest considerable variety in the configuration of data governance arrangements.
Original languageEnglish
Title of host publicationThe 31st European Conference on Information Systems (ECIS 2023)
PublisherAssociation for Information Systems
Publication date2 May 2023
Publication statusPublished - 2 May 2023


  • Digital health care
  • Data platforms
  • Data governance
  • Nursing care


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