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.
