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EOSC Data Commons Met the Community at the EOSC Winter School 2026

Photo courtesy of the EOSC Gravity project
The EOSC Data Commons team just returned from the EOSC Winter School 2026 held in Nice, France, from 27 to 29 January. Led by Project Director Diego Scardaci and Technical Coordinator Enol Fernández, with support from Sebastian Luna-Valero (Use Case Coordinator) and Xavier Salazar (Innovation Manager), our project engaged with the broader EOSC Federation community to introduce the solutions under development and explore potential synergies.
A key focus was the co-located EOSC Stakeholder Brokerage Event, where the project team met with the recently launched EOSC Nodes and EOSC project-related service providers in small-group sessions to understand their needs and offer tailored solutions from EOSC Data Commons.
Community Interest and Key Outcomes
Diego Scardaci chaired the parallel track on Federating Capabilities and Interoperability and ensured alignment with the EOSC Interoperability Framework. Enol Fernández presented the EOSC Data Commons approach to the semantic interoperability of FAIR Data Objects in the EOSC Federation.
The brokerage sessions revealed a strong, shared interest across the Node community in EOSC Matchmaker and EOSC Data Player.
Several nodes expressed interest in engaging with the EOSC Matchmaker to enhance the visibility of their data and improve the discoverability of research outputs with EOSC Data Commons AI-based solutions. The project team engaged with over 15 node representatives throughout the Brokerage Event, together with other EOSC projects and scientific communities' representatives.
The EOSC Data Commons approach to supporting FAIR and reproducible research was presented in the Federating Capabilities and Interoperability track of the Winter School, showcasing how the project helps create FAIR Digital Objects that bridge data sources and repositories with execution environments. The RO-Crate-based technology will be proposed for adoption within the EOSC Interoperability Framework to enable sharing, publishing, and reproducing analyses across the EOSC Federation.



