Value-Sensitive Design for Responsible Data Sharing in Governmental Ecosystems

Authors

Christel van de Wal
Open Universiteit, Faculty of Science

Synopsis

Advances in data-sharing technologies offer governments opportunities to improve efficiency and public service delivery. However, ethical risks, legal constraints, and concerns about public trust often limit the adoption of data-sharing practices within governmental organisations. This study examines how Value-Sensitive Design (VSD) and collaboration technologies, including Distributed Ledger Technology (DLT) and Privacy Enhancing Technologies (PETs), can support responsible and trustworthy data sharing in public governance. The research addresses ethical, legal, and organisational tensions while safeguarding public values and fundamental rights. A mixed-method research design combines literature reviews, qualitative case studies, and empirical validation, structured according to design science research principles. Building on analyses of governance frameworks and case studies in Dutch governmental organisations, the study develops and operationalises a methodological and normative framework for responsible data sharing. The research adapts VSD to governmental data ecosystems and provides a structured design approach supporting ethical and privacy-preserving data-sharing practices in public administration.

Author Biography

Christel van de Wal, Open Universiteit, Faculty of Science

Heerlen, the Netherlands. E-mail: christel.vandewal@ou.nl

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Published

June 5, 2026

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

van de Wal, C. (2026). Value-Sensitive Design for Responsible Data Sharing in Governmental Ecosystems. In D. Vidmar, A. Pucihar, M. Kljajić Borštnar, R. W. H. Bons, M. Glowatz, & H.-D. Zimmermann (Eds.), & (Ed.), 39th Bled eConference: Co-Creating Human-Centred and Responsible Digital Futures; Conference Proceedings (Vols. 39., pp. 1109-1120). University of Maribor Press. https://doi.org/10.18690/um.fov.4.2026.75