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Towards a minimum viable dataspace for the CEDS public sector: An initial implementation.

Anastasios Nikolakopoulos1,2, Georgia Dede1,2, Charalampos Ipektsidis1

  • 1Research & Innovation Development Department, Netcompany SEE & EUI, Luxembourg, Luxembourg.

Data in Brief
|June 11, 2026
PubMed
Summary

A Minimum Viable Dataspace (MVD) offers a foundational framework for secure European public sector data sharing. This approach simplifies trusted data exchange, aligning with Common European Data Spaces (CEDS) initiatives.

Keywords:
CEDSCommon European Data SpacesData SovereigntyData SpacesMinimum Viable DataspacePublic AdministrationSecure Data Exchange

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Area of Science:

  • Computer Science
  • Information Science
  • Public Administration

Background:

  • Cross-border and cross-sector data sharing is a key European priority.
  • Common European Data Spaces (CEDS) aim to facilitate secure and interoperable data exchange.
  • Establishing data spaces is challenging for public sector entities with limited resources.

Purpose of the Study:

  • To present the initial development of a Minimum Viable Dataspace (MVD) tailored for the European public sector.
  • To enable secure data sharing among authorized entities, consistent with CEDS principles.
  • To provide a foundational, controlled framework for data exchange.

Main Methods:

  • Architectural design integrating a Dynamic Attribute Provisioning Service (DAPS).
  • Implementation of a data exchange agent for sharing and storage.
  • Deployment of open-source dataspace connector software blocks in pilot environments.
  • Inclusion of components for authentication, policy enforcement, and partial usage control.

Main Results:

  • Successful demonstration of a controlled framework for data exchange among authorized participants.
  • Early pilot feedback indicates the MVD's usability and readiness.
  • The MVD architecture integrates essential components for secure data sharing.

Conclusions:

  • The developed MVD provides a viable solution for European public sector data sharing challenges.
  • This implementation serves as a foundation for future iterations and scalability.
  • It facilitates easier integration into broader European data ecosystems.