The EOSC EU Node is the first operational platform of the EOSC Federation, serving as the gateway to collaborative, data-driven research across Europe. It supports the transition to Open Science by enabling multidisciplinary and multinational collaboration through analysis, sharing, FAIR data principles, and integrated digital services.
Researchers can use their institutional credentials to access virtual machines, GPU resources, interactive notebooks, containerised workflows, storage, data transfer, and collaborative tools within the User Space, a personal cloud storage for collaborative research secure. The Node connects to the EOSC Resource Catalogue, which provides access to millions of research outputs, datasets, publications, software, and services from federated European infrastructures. At the same time, the ToolsHub enables users to share and reuse workflows and tools within the EOSC EU Node itself, fostering reproducibility and collaboration.
Research workflows can be planned, executed, disseminated, and assessed within a GDPR-compliant cloud environment. A credit-based resource model ensures flexible and transparent access to services.
Key objective: As the reference implementation of the EOSC Federation, the EOSC EU Node provides the technical and administrative blueprint for interoperability across national, regional, and thematic nodes. Its standards and practices, detailed in the EOSC Federation Handbook, ensure a coherent, trusted, and scalable framework that turns the vision of EOSC into operational reality.
Science areas: Core federating capabilities and horizontal services for the EOSC Federation.
FAIR data
The EOSC EU Node exposes FAIR-aligned datasets from federated repositories through the EOSC Resource Catalogue. Metadata are standardised and linked with persistent identifiers, enabling discoverability, controlled access, interoperability with EOSC services, and reuse in scientific workflows.
Scientific use cases
Federating CERN’s REANA pipelines
The REANA science case focuses on enabling near-data computation—sending computational workflows to where large scientific datasets are stored, rather than transferring massive volumes of data to the researcher.
The use case demonstrates this concept through particle physics—a field that generates enormous data volumes—but it is applicable to many other domains, including astronomy and life sciences. The project aims to show how researchers can execute their analyses directly at the data source, using REANA—CERN’s Reproducible research data analysis platform—to manage containerized workflows across federated computing resources.
Imaging data workflows on Galaxy
This science case on imaging data workflows on Galaxy demonstrates how a federated, open-access computational platform can transform the way imaging data are processed, shared, and reused across diverse scientific domains.
The use case leverages the Galaxy platform to integrate data from a wide range of imaging-based research fields—such as life sciences (microscopy), astrophysics (telescope data), climate science (satellite data), and marine science (underwater imagery)—into a unified analysis environment. The goal is to demonstrate that Galaxy can be integrated into the EOSC Federation’s common infrastructure to serve many disciplines simultaneously, allowing researchers to share workflows, reuse methods, and access powerful computational tools without needing specialised technical expertise.
