AI & Computingarticle2026-09-14

mTeSS-X: Scaling Training Portal Federation for RIs through Multi-Tenanting and Exchange

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Abstract

The OSCARS project mTeSS-X enhances TeSS (Training e-Support system) by enabling metadata exchange and shared content across instances through “spaces”—self-managed community catalogues with metadata on training material and events within a central “TeSSHub”. This fosters collaboration and integration across research infrastructures, creating a more connected training ecosystem. https://elixirtess.github.io/mTeSS-X/

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-09-14

Authors: Carole Goble, Oliver Knodel, Phil Reed, Finn Bacall, Munazah Andrabi, Martin Voigt, Kenneth Rioja

Institutions: University of Manchester, European Organization for Nuclear Research, Helmholtz-Zentrum Dresden-Rossendorf