EBRAINS Data and Knowledge services facilitate neuroscience research and discovery by providing online solutions to facilitate sharing of and access to research data, computational models and software. These services revolve around an expert-driven Knowledge Graph which combines metadata ingestion pipelines, human user input and multiple quality assurance processes, to help contributors and users by ensuring data consistency and quality. Neuroscientists looking to share their data and and models FAIRly (Findable, Accessible, Interoperable, and Re-usable) can apply for user support to have their data and models curated and annotated with standardised metadata, to facilitate discovery and reuse by other researchers.

The EBRAINS Data and Knowledge services make it easier for scientists to share, find, integrate, analyse and simulate data.

Clearly defined terms of use, responsible data compliance, data protection provisions and governance mechanisms make this platform attractive for researchers depositing and consuming content. Neuroscientists seeking data or models to support their research can find and access data and models, either through a straightforward online search or a programmatic API. Moreover, these shared resources are linked to software for visualising and analysing data and for performing computerised simulations of brain function, and to the INCF KnowledgeSpace for integration with other international services. By making it easier for scientists to share, find, integrate, analyse and simulate data, EBRAINS Data and Knowledge services help to accelerate the global effort to understand human brain function and disease.

Data and Knowledge



2021, Q1

Human Data Gateway: Controlled access to pseudonymised human datasets through regulatory compliant data use agreements and access policies

Integration of openMINDS metadata schema

Datasets from projects within the US BRAIN Initiative, BrainMINDS, and NIH Common Fund will be indexed and integrated with datasets from HBP in KnowledgeSpace

Users can search for available datasets in KnowledgeSpace either through the encyclopedia or direct text search

2021, Q2

openMINDS ephys: Extension/module of openMINDS for in-depth metadata schemas for electrophysiology

Knowledge Graph API: Improved programmatic access

Knowledge Graph Statistics: Improved visualisation for easy explorarion of the content of the metadata structures in near-real time

Data Protection, Compliance and Data Governance: Improved Traffic Light System for EBRAINS Data curation that aligns with the Data Provision Protocol

2021, Q4

Improved documentation and workflow for more efficient curation services with increasingly FAIR data

2022, Q1

Data Upload Service II: User friendly, efficient and robust data upload for researchers sharing data on EBRAINS

2022, Q2

KnowledgeSpace search functionality expanded to include training materials and tools

2023, Q1

Knowledge Graph users able to query KnowledgeSpace datasets from the Knowledge Graph

Semantic and text search for terms, datasets, publication, tools and training in KnowledgeSpace

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