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EBRAINS is Europe’s digital infrastructure for brain research and an ESFRI Landmark in Data, Computing and Digital Infrastructure.

It provides advanced tools, expert-curated data, and powerful computing services that integrate neuroscience, AI, and digital technologies to accelerate progress in brain science and medicine. EBRAINS enables multiscale exploration of the brain—from molecular and cellular processes to whole-organ models—supporting research that advances diagnostics, treatments, and prevention of neurological and psychiatric disorders. Within the EOSC Federation, the EOSC Node EBRAINS RI contributes reference brain data, quality-assured software tools, scalable federating capabilities, and trusted research environments, while supporting training, onboarding of third-party services, and cross-disciplinary scientific use cases.

Key objective:

To establish a thematic EOSC Node for brain-related and brain-inspired research, providing interoperable access to high-quality data, tools, and services, and contributing federating capabilities, best practices, and cross-disciplinary use cases to the EOSC Federation.

Science areas: Neuroscience, brain research, medicine and health, artificial intelligence, neuromorphic computing, digital health technologies.

EBRAINS enables cross-disciplinary, data-intensive brain research by integrating neuroscience, computing, and AI, supporting advances in diagnostics, treatments, and understanding of neurological and psychiatric disorders.



FAIR data

  • Expert-curated brain research datasets.
  • Reference datasets for neuroscience and medical research.
  • FAIR digital objects including datasets, software, models and workflows.
  • Integrated access via EBRAINS Knowledge Graph.

Scientific use cases

  1. Multi-scale brain modelling and simulation
  2. Brain atlas exploration and analysis
  3. Medical data analytics for neurological disorders
  4. AI-driven neuroscience research workflows
  5. Cross-disciplinary research combining neuroscience and computing
  6. Reproducible research workflows using FAIR data and tools

Status

Candidate EOSC Node

Deliverables

  1. Federated access to EBRAINS data and services
  2. Integration with EOSC core and federating capabilities
  3. Onboarding framework for third-party services
  4. Training programmes and community coordination
  5. Scientific use cases demonstrating EOSC value




Technical status

Planned

  • Federated AAI
  • Onboarded service catalogues (EBRAINS Knowledge Graph; EBRAINS service catalogue) 
  • Application workflow management
  • Service monitoring
  • Service and research product accounting
  • Order management
  • Helpdesk
  • Management system 

Interactions with other EOSC Nodes


Rules of Participation

Open access for selected datasets and services; controlled access for sensitive data; federated access via EOSC AAI; access follows EBRAINS and provider policies.

Access points

Via home page (https://ebrains.eu)

Federated services

  • EBRAINS Knowledge Graph
  • EBRAINS service catalogue
  • Trusted Research Environments
  • Federated authentication and access services

Data repositories

  • EBRAINS data repositories
  • Brain atlases
  • Reference datasets

Compute and storage

  • Cloud infrastructure
  • HPC resources
  • Integration with European supercomputing systems

VRE

  • EBRAINS Collaboratory
  • Simulation and modelling environments
  • Workflow and notebook-based research environments

File sync-and-share

Integrated data sharing within EBRAINS platforms

Other

  • Training programmes
  • Software tools
  • Modelling frameworks
  • Onboarding and federation support services

Coordinating organisation

Node organisation

Coordinator

Dr. Amaryllis Raouzaiou (EBRAINS AISBL)

Internal organisational structure

  • Central hub: EBRAINS AISBL
  • Pan-European network of 11 National Nodes
  • Distributed services through institutional members
  • Technical coordination and service onboarding teams

Contributing organisations

EBRAINS AISBL, Athena Research Center, EBRAINS National Nodes, EBRAINS institutional members