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EOSC Federation · First wave Node

The CERN EOSC Node
for Open Science

Integrating CERN's world-class research services and FAIR data into the European Open Science Cloud, enabling reproducible workflows, open datasets, and cross-disciplinary collaboration for researchers everywhere.

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What is the CERN EOSC Node?

Part of the European Open Science Cloud Federation

The CERN EOSC Node strengthens the EOSC Federation by providing high-TRL services and technology essential for high-energy physics and interdisciplinary research. It integrates CERN's established platforms such as Rucio, REANA, FTS, CERNBox, Zenodo, and the CERN VRE into a federated European infrastructure.

The objective is to support the exploitation of FAIR CERN Open Data through reproducible workflows, analysis facilities, and cross-disciplinary collaboration, making particle physics data and tools accessible to the broader scientific community.

“Building a successful federation is not just about the infrastructure but it's about making sure that the users are part of the co-design of the services. This is one of the reasons for the success of the WLCG, a federation of over 170 data centres spanning more than 40 countries.”

— Bob Jones, EOSC Association

Find Your Path

Get started based on what brings you here

Researchers

Run analyses on open data, manage large datasets, and publish reproducible workflows.

Policy Makers

Understand what the Node delivers, its maturity, and how to engage with it.

Infrastructure Operators

Reuse the open-source stack and federate your own infrastructure with the Node.

Core Principles

What drives open science at CERN

Open Data

CERN provides curated open data and analyses from its flagship particle physics experiments, preserved with long-term discoverability through the CERN Open Data portal and Zenodo.

Interoperable Services

CERN services use standard protocols and open APIs to enable interoperability across the EOSC Federation. Federated AAI, shared catalogues, and common data management tools ensure seamless integration with other nodes and research infrastructures.

Reusable Workflows

Containerised analysis pipelines on REANA or Jupyter can be shared, re-executed, and adapted by anyone. Near-data computation sends workflows to where datasets live, making results verifiable and building on prior work.

Services

Key services onboarded to the EOSC Federation

CERN Open Data

Data Discovery

Access collision data, simulated datasets, and educational resources from CERN experiments.

CERN VRE

Interactive Analysis

Powered by SWAN (Service for Web based ANalysis) — a platform to perform interactive data analysis in the cloud using Jupyter notebooks.

CERNBox

Storage

Cloud sync and share service allowing users to store and share data seamlessly across all their devices.

REANA

Workflow Execution

Reusable Analysis platform. Allows researchers to run containerised data analysis pipelines on distributed compute clouds.

Rucio

Data Management

Scientific Data Management system providing a complete and scalable solution for managing large volumes of data across globally distributed centres.

Zenodo

Publishing

General-purpose open repository enabling researchers to deposit educational materials, datasets, software, and publications.

View the full catalogue

Virtual Research Environment

The CERN VRE for cross-disciplinary science

The CERN Virtual Research Environment is a modular, scalable platform that integrates software provisioning (CVMFS), data management (Rucio), reproducible workflows (REANA), and interactive analysis (Jupyter) into a unified workspace.

Unlike a generic cloud notebook (Google Colab, AWS SageMaker, Azure ML), the VRE ships pre-configured with the specialised toolchains scientific communities actually need: HEP software stacks via CVMFS, federated AAI, direct access to experiment data lakes, and analysis pipelines that run close to the data rather than shuttling petabytes across the public internet.

SWANAccess the VREBrowse Analyses
CERN VRE

Node Status

See the rollout stages →View the status page →

Current deployment phase of the CERN Node

Phase 1 — Build-up

Completed

Onboarded CERN technology into the EOSC EU Node and tested the virtual credit model. Services including Indico, REANA, VRE, Zenodo, CERN Open Data, HEPData, and INSPIRE-HEP were successfully integrated.

March – December 2025

Phase 2 — Production

Active

Establishing the CERN Node with quotas and controlled resource allocation, full federated AAI, and helpdesk support.

Started Q1 2026

Open Science at CERN

Training, outreach, and community

At CERN, the practice of open science is key to delivering on the organisational mission. CERN Open Science encompasses an evolving ecosystem of policies, initiatives, services, and technologies, driven by people from across the organisation with the goal to maximise the global impact of research.

  • Open Access
  • Open Data
  • Open Source
  • Open Hardware
  • Citizen Science
Learn more at openscience.cern

Competence Centre & Training

Learn to leverage HEP software frameworks, Machine Learning tools, and distributed infrastructure through curated training programs.

Data Management Plans

Guidelines and templates for managing research data throughout the project lifecycle, aligned with FAIR principles.

Contributing Organisations

CERN departments, INSPIRE-HEP collaboration (DESY, Fermilab, IHEP, IN2P3, SLAC), Durham University, and ESCAPE partners.