This working group will strengthen the operational capacity of the EOSC Federation by establishing a coordinated, interoperable, and sustainable framework for skills development, training delivery, and competency recognition across EOSC Nodes, end users, and the wider EOSC community.
The WG will collect and lay the foundations for interoperable training resources across EOSC by defining and preparing a minimal, extensible metadata approach for EOSC training ecosystem objects, acknowledging that the precise forms of those objects (e.g., courses, materials, events, learning pathways, or other formats) will evolve over time.
Scope
Training Ecosystem Objects
- Collect requirements from EOSC Nodes on training ecosystem objects.
- Define a minimal metadata set to describe training materials.
- Develop a prototype to collect training metadata and exchange it with third-party systems.
Policies and Concepts
- Bring together stakeholders from EOSC Nodes and external partners.
- Adapting the mandate based on developments in the EOSC build-up group Nodes and relevant EOSC structures and initiatives
- Develop shared concepts and policy recommendations to support interoperability, reuse, and sustainability of EOSC training resources.
Composition of the WG
- Training and capacity-building leads from EOSC Nodes
- Representatives of emerging candidate Nodes supported through EOSC Gravity
- Liaisons from relevant EOSC structures and initiatives, including:
- EOSC Academy
- OAEG representatives
- Competence Centres
- EOSC Federation User Forum
- EOSC Gravity Pillar 2 partners
- Other relevant EOSC and Horizon Europe projects
Objectives
Q2 2026
EOSC Training Metadata Profile (v1.0): A minimal, interoperable metadata schema applicable to EOSC training objects, explicitly designed to accommodate diverse and evolving training formats (in collaboration with the OSCARS project mTeSS-X). We will systematically assess, align, and reuse metadata elements from established standards, including Dublin Core, DataCite, Schema.org (Course and Learning Resource extensions), LRMI, and relevant recommendations of the Research Data Alliance. Reused elements will be formally mapped, profiled, and constrained to ensure semantic consistency, interoperability, and machine-actionability across EOSC services. Compliance with FAIR principles and technical alignment with EOSC interoperability frameworks will constitute mandatory design requirements for the metadata profile.
Q3 2026
- Pilot integration with EOSC Federation Services: A demonstrator showcasing metadata harvesting for existing materials based on the EOSC Training Metadata Profile and the metadata exchange between Node-level training sources and the
EOSC catalogue. - Competency and Training Requirements for EOSC Nodes and service providers: A defined set of expectations outlined in the EOSC Federation Handbook on how Nodes and services should support and deliver training to users.
Q4 2026
- A model of the structure and integration of competences and skills in EOSC Nodes and Federation
- Alignment with EOSC Academy, CCs, and the User Forum
Members and observers
Lucie Janků
EOSC Node | Czechia
Pavlína Tassanyi
EOSC Node | Czechia
Inese Jaudzema
EOSC Node | Latvia
Mikus Melderis
EOSC Node | Latvia
Sonja Filiposka
EOSC Node | North Macedonia
Bojana Koteska
EOSC Node | North Macedonia
Hakan Bayindir
EOSC Node | Türkiye
Orkun Balci
EOSC Node | Türkiye
Cosimo Vallo
EOSC Node | ENVRI
Federica Tanlongo
EOSC Node | ENVRI
Giuseppe La Rocca
EOSC Node | EGI
Sebastian Luna-Valero
EOSC Node | EGI
Maja Dolinar
EOSC Node | Scholarly Commons
Fotis Mystakopoulos
EOSC Node | Scholarly Commons
Dejana Carić
EOSC Node | Croatia
Magdalena Pilch
EOSC Node | METROFOOD-RI
Rita Gautschy
EOSC Node | Switzerland
Phil Reed
University of Manchester/mTeSS-X project
Isabel Caetano
EOSC Academy / EOSC-A

