Report on Repository Support for Data-Level Interoperability / Reusability
Year: 2026
Type: report
Abstract: The EOSC Association FAIR Metrics and Digital Objects Task Force surveyed 39 European research data repositories (April–September 2025) to establish a first empirical baseline of FAIR practices and EOSC Federation readiness. While foundational capabilities are widely implemented (e.g. dataset-level PIDs, licensing, metadata validation, and broad EOSC alignment), significant gaps remain in data-level reusability, including limited machine-actionable licensing, low adoption of standardised provenance, incomplete file-level PID support, and minimal machine-readable policy exposure. Based on self-reported data, the findings reveal a persistent gap between discovery-oriented FAIR implementation and the interoperable, reuse-ready practices required for EOSC Federation services, and highlight priorities in object-level granularity, provenance interoperability, policy transparency, shared terminology, and capacity building.
Authors: Papadopoulou, Elli, Wilkinson, Mark D., Di Nunzio, Giorgio Maria, Cebecauer, Marek, Makula, Lorenz, Koers, Hylke, Kemmer, Isabel, Sansone, Susanna-Assunta, Castro, Leyla Jael, Rohden, Jan, Garijo, Daniel, Kleemola, Mari, Dennis, Richard, Palma, Raul, Löbe, Matthias, DAVID, Romain, Jetten, Mijke
Institutions: Athena Research and Innovation Center In Information Communication & Knowledge Technologies, Universidad Politécnica de Madrid, University of Padua, Czech Academy of Sciences, Czech Academy of Sciences, Heyrovsky Institute, University of Vienna, Euro-BioImaging ERIC, University of Oxford, ZB MED - Information Centre for Life Sciences, Deutsche Forschungsgemeinschaft, Tampere University, University of Copenhagen, World Maritime University, George Washington University, University of California, Berkeley, Stanford University, Poznan Supercomputing and Networking Center, Leipzig University, European Research Infrastructure on Highly Pathogenic Agents, Dutch Techcentre for Life Sciences, Health-RI
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7149900540