Data & Knowledge

Share Data

Submit your data and receive data management support, long term storage and citable DOIs

Share your data

Store your data in our long-term storage at the Swiss National Supercomputing Center CSCS.

Ensure data discovery and reuse with EBRAINS' professional curation support.

Get cited for your data with persistent data DOIs, licensing and Terms of Use.

Analyse and explore your data with tools and services from EBRAINS and others.

How to integrate and share your data?






In-depth integration

Fill out a request form or contact to let us know what type of neuroscientific data or model you would like to integrate and share on EBRAINS. Several options are available for journal authors publishing data with their article. We are now ready to receive requests for sharing of original and processed collections of rodent or human brain data, including:

  • Behavioural data
  • Computational models
  • Electrophysiology data
  • Electron microscopy data
  • Functional imaging data
  • Histology data
  • Omics data
  • Reconstructions

The Data Curation team receives your request and will review the potential of the data/model collection for reuse by the community and suitability for EBRAINS’ workflows and tools.
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.

Learn more about data curation:
The Data Curation Team on YouTube

If the Data Curation team accepts your request to share, they will create a ticket in the EBRAINS curation support system and notify you by email. You will then be assigned a personal curator to follow you through the process of releasing your files and associated metadata on the EBRAINS platform.

We are happy to answer your questions:

The integration step consists of:

  • File upload to our long-term storage at CSCS
  • Metadata registration
  • Writing a data descriptor

When your metadata and files are integrated, you will be able to review how this will look upon release. After we receive your approval, we will assign one or several DOIs to your collection and publish it on the EBRAINS platform.

Browse already published datasets and models:

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:


Why integrate and share your data on EBRAINS?

Our offer

Data Management Support

Get a citeable DOI
and ensure
proper credit

Store your data in a
long-term repository

data reuse

Get new
funding opportunities

new collaborations

Common misconceptions

Sharing my data is not beneficial for me - only for others.

When you publish your data via EBRAINS, we provide comprehensive data management support and safe long term storage. Additionally, your data can be cited, just like a scientific journal paper. Making your research more discoverable may foster new collaborations and can even lead to new funding opportunities. Many funders specifically support projects that are part of the "Open Science" initiative."

I can't share my data before my article is published.

You don't necessarily have to wait. You can publish your data with an embargo status, meaning it would be possible to find information about your data without making the files available immediately.

The curation process is time consuming and difficult.
Publishing your data naturally takes some time and effort, but we will support you at every step along the way. We have finished cases - from the initial contact to dataset release - within two weeks.

What to integrate and share?

Share raw or processed data, models, analyses, methods, codes, softwares etc.

EBRAINS schema

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