Report

PUBDB-2026-00519

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png D3.2 Competence Centres concepts and activities (pre)existing in EOSC

David, R. ; Hienola, A. ; Schmidt-Tremmel, F. (Corresponding author) ; van der Lek, I. ; Nentwich, M.Extern*DESY* ; Bodera Sempere, J. ; Kalaitzi, V. ; Guerrieri, G. ; Wolff-Boenisch, B. ; Guezennec, C. ; Draščić, M. ; Vipavc Brvar, I. ; van der Lek, I. (Researcher)

2025
Zenodo

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Please use a persistent id in citations: doi:10.5281/ZENODO.17549886  doi:10.5281/zenodo.17549887

Abstract: This deliverable presents an overview of EOSC-related activities and projects that could be taken into account for the design and implementation of Competence Centres (CCs), positioned as key instruments to support data-intensive, FAIR-compliant, and interdisciplinary research within the European Open Science Cloud (EOSC). It synthesises existing practices, conceptual frameworks, and policy recommendations drawn from ongoing and past projects. CCs are understood by most of the research communities as decentralised, composable structures that may consolidate community expertise, support training and guidance for data sharing and reuse or provide embedded services across diverse research contexts. The deliverable outlines the different types of contributions of the domain-specific clusters. Each science cluster intends to align its CC strategies on either thematic priorities, governance approaches, training assets etc, and reflect on how they then could align within the OSCARS CC design and definition proposed in the framework of OSCARS WP1 (Bodera Sempere et al., 2024). The result of this landscaping highlights existing or in development principles, acknowledges heterogeneous implementations, foster cross-community learning and will lay the groundwork for a future inter-OSCARs project and inter-community paper on all kind of Competence Centres that can act in the framework of EOSC (discipline specific or thematic, local, regional, national…). The document identifies key interdisciplinary challenges such as multimodal data integration and large-scale metadata analysis emphasising the need for cultural change, capacity building, and embedded support mechanisms close to research practice, Challenges identified demand robust infrastructures, sustained collaboration, and the realisation of the “FAIR web of data,” a central EOSC ambition. The OSCARS CC model builds upon these insights to propose a federated and scalable ecosystem of competence. The models offer a practical roadmap to foster uptake, interoperability, and sustainability of Open Science across European research communities.

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Contributing Institute(s):

1. Informationstechnologie (IT)

Research Program(s):

1. OSCARS - O.S.C.A.R.S. - Open Science Clusters’ Action for Research and Society (101129751) (101129751)
2. 899 - ohne Topic (POF4-899) (POF4-899)

Experiment(s):

1. No specific instrument

Appears in the scientific report 2025

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