Publish your datasets, computational models or software (all of which are referred to below as "data") with the help of the EBRAINS Curation Service. Workflows, documentation and professional support ensure that anything you share is annotated with standardised metadata tailored for neuroscience use; facilitating discovery and reuse of your data by the broader research community via the EBRAINS Knowledge Graph. Increase the visibility of your work and receive credit for it by using citable DOIs. EBRAINS offers long-term data storage and provides clearly defined terms of use, responsible compliance with data regulations, data protection and governance.

Our offer

  • Publish your work in a high-profile online resource for neuroscience data, models and software, offering metadata management support in line with the FAIR principles
  • Integration of your data in the EBRAINS Knowledge Graph via community-driven metadata and ontologies
  • Compatibility with other EBRAINS services, including visualisation and analysis workflows
  • Identify your work with citable DOIs, facilitating wider recognition
  • Long-term storage solutions for your data at EBRAINS high-performance computing centers

How to integrate and share your data?






In-depth integration

Fill out a request to begin the process of sharing your data through EBRAINS.

The request process leads you through a few questions that will determine the best procedure and curator to help you with your submission. Once you have submitted this information, you should soon hear back from the curation team.

For questions or assistance, contact:

You will be notified whether EBRAINS accepts the curation request within 5 working days after the submission of the request form.

The curation is expected to take 2 to 4 weeks provided that the data are well prepared and the author is actively engaged in the dialogue with the curators.

If your request is accepted, you will be notified by email. You will be assigned a personal curator to follow you through the process of releasing your dataset, model or software on the EBRAINS platform.

Integration primarily consists of registering metadata following the openMINDS metadata format, writing a data descriptor for enhancing reuse of your dataset and file upload to our long-term storage at CSCS.

For more information of the steps of curation, see the Data Curation collab

When your metadata and files are integrated, you are invited to review how this will look upon release. After we receive your approval, a DOI is assigned* and your dataset, model or software is published in the EBRAINS Knowledge Graph.

*DOI not yet available for models and software, but is expected to be available soon.

The Data Curation team is continuously expanding the metadata ontology to enable registration of more detailed metadata. Therefore, it will be possible to add more in-depth metadata also after data have been released, which again will improve the level of FAIRness.

EBRAINS strive to share data in accordance with the FAIR guiding principles, aiming to make data:



Data curation resources

How we make your data findable

The EBRAINS Knowledge Graph (KG) is a powerful framework developed to bring together information from different fields. The KG integrates registered data, models, and software into a graph database, and outlines their relationship to each other (e.g. connecting a dataset to software tools for analysis and visualisation). In addition to providing an intuitive search interface it supports more extensive data reuse and complex computational research by supporting linked “smarter” searches.

For shared resources to be found and understood, they must be tagged by elements describing attributes about that resource. Metadata schemas give structure to and outline these descriptions. EBRAINS has adopted the openMINDS schema, which is flexible, yet thorough enough to support the types of queries that researchers use to identify resources. Moreover, it is aware of terminologies and ontologies used outside EBRAINS, providing a link from EBRAINS to those resources.

SANDS is an extension to openMINDS. The metadata schemas in SANDS standardise terminology for describing anatomical location of neuroscience data using names of brain regions or coordinates, referring to the atlases employed by EBRAINS.

Read more about curation in our Data Curation wiki.

For journal authors

Publish your dataset alongside a journal publication

Several options are available in EBRAINS to cater for journal authors wishing to publish data related to a manuscript for a peer-reviewed journal. For instance, during the review process, you can request access for your reviewers, but withhold your dataset from the public until your paper is published. All datasets curated and stored at EBRAINS will be released to the public with a DOI, turning your dataset into a citable published resource.

For scientific authors

Leverage EBRAINS to help create your data paper

Many journals such as Nature Scientific Data and Frontiers offer data papers; citable journal articles that describe scientifically valuable datasets. These publications highlight and promote reuse of these resources. To publish a data paper, several criteria must be met, such as having a structured and formalised metadata description of your dataset, a unique URL for your published data files (preferably a DOI), and a clearly stated license. All these will be in place after going through the EBRAINS data curation process. EBRAINS is listed as a recommended repository for Nature Scientific Data.


The EBRAINS Data Curation service

Neuroscientific data - be they experimental or simulated data, models or software - are multimodal, heterogeneous, and organised in many different ways. All these different types of data must be structured, categorised and integratively described, so that they may be found, compared and/or reused by other researchers. The EBRAINS Curation Service supports you in this process. Together, we will take a step closer to the vision of "open data."

At the core, "open data" are shared without any restrictions on reusing those data. This promotes transparency, fosters new collaborations and facilitates scientific progress. Data may still be considered "open" if their reuse is coupled to restrictions that prevent misuse of data, or ensure further distribution of data under "open" conditions.

Preparing data for sharing is often cumbersome and requires good data and metadata management. Good management practices are outlined in the FAIR guiding principles (Wilkinson et al., 2016). The EBRAINS Curation Service strives to meet these principles and supports researchers and scientific publishers in their endeavors to improve the Findability, Accessibility, Interoperability, and Reusability (FAIRness) of data.



When sharing data, models and software on EBRAINS, researchers must comply with European Union and national ethics standards. For raw and/or derived data obtained from living human subjects, compliance with the EU General Data Protection Regulation (GDPR) must also be assured. EBRAINS Ethics Compliance Management ensures that all accepted data meet ethical and legal requirements. To help achieve this, researchers wishing to use EBRAINS to share data must complete the EBRAINS ethics compliance survey and receive a positive evaluation from the EBRAINS Ethics Compliance Management to have their data accepted. In addition, users that want access to GDPR-sensitive data in EBRAINS need to sign and comply with the EBRAINS Data Use Agreement.


Long-term storage

Researchers sharing their work have an interest to make it available for a long period of time. This is also recommended in the FAIR guiding principles. Thus, researchers using the EBRAINS services must make their data available in a long-term storage: either in the EBRAINS Long-term Data Storage or another external repository. At present, EBRAINS uses the OpenStack Object Storage (swift) system, provided by the Swiss National Supercomputing Centre (CSCS) as a part of FENIX. To upload data to the CSCS, researchers request a CSCS user account and are allocated a private container in the EBRAINS Long-term Data Storage. For external data repositories, a persistent identifier (e.g. DOI) must be provided and validated by the EBRAINS Curation Service.


Increasing numbers of researchers are joining the EBRAINS sharing platform



As of October 2020, more than 1,000 researchers have already contributed data to the EBRAINS Knowledge Graph



Datasets, models and software from 28 different modalities are represented

Our international team of curation scientists and software developers, situated in Oslo, Jülich, Paris and Geneva, integrates neuroscience data, models and software across various modalities and levels of the brain, before making them available to the community via the EBRAINS Knowledge Graph.

Each team member contributes valuable insights and hands-on experience from their Master’s or PhD studies in neuroscience, biology or informatics. Curators are matched with your specific needs.

Contact us at:

Get in touch with the openMINDS community at INCF Neurostars or GitHub.


Wilkinson, M.D., Dumontier, M., Aalbersberg I.J., Appleton G., Axton M., Baak A., Blomberg N., et al. (2016) The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data. 3, 160018.

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