Abstract

Data need to be created, collected, stored, exchanged, integrated, and

processed among a diverse set of actors and infrastructures to create value. Such

reliance on other actors leads to the emergence of data ecosystems. Despite the

focus on data ecosystems in the literature, little is known about who governs what

data activities and how. Data ecosystem governance aims to ensure the alignment

of activities with different goals and strategies of ecosystem actors. We

contribute to the understanding of data governance by expanding the conceptual

model for data ecosystem governance. The framework draws on an extensive

review of data governance and ecosystems. We show governance is multi-layer,

multi-actor and multi- dimension which creates complexity and

interdependencies. The conceptual framework provides a guide for managers to

fully understand and implement data ecosystem governance.

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