Training & Competencies Working Group

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

CO-CHAIRS
MEMBERS
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