TeSSHub - A Federated Training Catalogue Infrastructure

The mTeSS-X project (“Multi-space Training e-Support System with eXchange”) aims to address one ofthe central challenges in modern research infrastructures: how to provide coordinated, yet domain-specific training resources across diverse scientific communities. Within the framework of ELIXIR andPaNOSC, the project develops a federated training catalog infrastructure called TeSSHub that connectscommunities from Photon and Neutron (PaN) Science, the Life Sciences (LS) and beyond, enabling themto share, discover, and reuse training materials and event information across institutional anddisciplinary boundaries. Scientific domains such as LS and PaN share common challenges in training data stewardship,reproducible research, and the application of computational methods. However, their trainingecosystems have traditionally evolved independently, often leading to fragmentation and duplication ofeffort. mTeSS-X directly addresses this by developing a modular, multi-space platform architecture thatsupports community autonomy while enabling interoperability and content exchange between trainingcatalog instances. The software framework builds upon the ELIXIR Training eSupport System (TeSS) andintroduces extensions that facilitate federated content discovery, metadata harmonization, and cross-domain search through standardized APIs and metadata schemas aligned with FAIR principles. From a technical perspective, mTeSS-X combines robust software engineering with semantictechnologies to support training resources that are FAIR (Findable, Accessible, Interoperable, andReusable) across infrastructures. It introduces an exchange mechanism that allows participatingcommunities to selectively publish, synchronize, and enrich content, while preserving local governanceand editorial control. The well-established OAI-PMH 2.0 protocol is supported for import as well as exportof content and is used in combination with RDF data utilizing schemas.science, which is based onschema.org properties, and ontologies, such as EDAM, for semantic interoperability. In this contribution, we will present the conceptual and technical foundations of mTeSS-X. Thepresentation will also highlight how the exchange feature relates to FAIR training materials.