Data Spaces for Interoperable Research Data Management and Governance
Mon statut pour la session
Inform IoT and research community on the recent developments in Data Spaces widely defined as ecosystem for secure and sovereign data sharing that ensure interoperability at four layers: technical/infrastructure, semantic/metadata, organizational, and legal. Discuss benefits of Data Spaces concept and infrastructure for Research Data Management and Governance.
Bring together and discuss form of cooperation between research data community and current Data Spaces community to develop the future-proof Data Spaces concept and Reference Architecture that would facilitate data exchange between research experimental facilities and industry.
Discuss possible research areas and experimentation/testbed facilities in SLICES-RI to help scientific community implement and benefit from Data Spaces infrastructure and interoperability model, including interoperability with EOSC, IDSA, Gaia-X.