Abstract

As data becomes an important resource for contemporary organiza-

tions undergoing digital transformation, data governance has emerged as central

organizational concern. The management of data assets often shows traditional

managerial, technical, and compliance boundaries and is a central factor for com-

pany decision-making. Most approaches to data governance emphasize formal

structures, technological controls, and regulatory adherence. However, these per-

spectives insufficiently account for the complex interplay between human agency,

organizational dynamics, and evolving digital infrastructures.

This workshop submission highlights the entanglement of social, technical and

institutional forces that shape data practices and adopts an inter-organizational

perspective on data governance as a dynamic, emergent, and negotiated process

that especially unfolds when negotiating across multiple organizations. Using

the example of Personally Identifiable Information (PPI), we illustrate that data

governance is not merely a set of rules for data management. Especially, when

adopting an inter-organizational perspective data governance can be seen as a socio-

technical collection of values, power relations and accountability mechanisms

between.

The workshop submission aims to foster a multidisciplinary dialogue that explores

the methodological foundations for designing responsible, adaptive and inclusive

data governance frameworks.

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