Fair Data

Share Data

Share your datasets, computational models and software with the support of the EBRAINS Curation Service

Our expert curators—trained neuroscientists—will guide you through the process of annotating your data with high-quality metadata to ensure it is linked to relevant research and FAIR: Findable, Accessible, Interoperable, and Reusable. Benefit from safe, long-term storage using the cutting-edge EBRAINS infrastructure for sharing non-sensitive data, models and software, or choose one of our collaborating Trusted Research Environments (TREs) for secure sharing of sensitive human data.


Publishing your research is easier than ever—EBRAINS is a recommended repository by Springer Nature, eLife, Nature Scientific Data, and other leading neuroscience journals, which increasingly require data to be stored in trusted repositories.

 

  • Publish your data in a high-profile online resource for neuroscience data, models and software
  • Receive metadata management support in line with the FAIR data principles
  • Integration of the data in the EBRAINS Knowledge Graph via community-driven meta data standards and ontologies
  • Compatible with other EBRAINS services, including visualisation tools and analysis workflows
  • Receive a citable DOI for your work
     

Request curation Contact Documentation

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Support

Receive data management support

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Storage

Store your data in a long-term depository

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DOI

You will get a citable DOI to ensure proper credit of your work.

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Reuse

Enable the reuse of your data

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Collaboration

Foster new collaborations

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Funding

Get new funding opportunities.

Data Sharing Process

The EBRAINS curation process ensures that the data we receive for publication are properly annotated and meet the necessary data sharing and reuse standards. By offering this service, EBRAINS aims to increase the visibility of scientific work and support the advancement of neuroscience research.

Sensitive Data

EBRAINS supports responsible and secure sharing of sensitive data in line with European General Data Protection Regulation (GDPR) and national legal, ethical and societal requirements. When working with identifiable or sensitive data, you need to follow specific guidelines to ensure compliant data sharing through the EBRAINS platform.

Models and Software

We assist with the entire sharing process for models and for software by providing step-by-step instructions.

FAIR Data & openMINDS

The FAIRness of data depends on the amount of information that is shared, the format in which it is shared, and how easily it can be integrated and reused across different systems and contexts. Data shared through EBRAINS is curated to ensure GDPR compliance and to provide structured metadata. We rely on metadata schemas that describe how metadata relate to each other. 

FAQ

What are the benefits of sharing data with EBRAINS?

By sharing your data with EBRAINS you gain access to the following benefits: receive data management support, store your data in a long-term repository, get a citable DOI and ensure proper credit, enable data reuse, foster new collaborations, get new funding opportunities.

What is data curation with EBRAINS?

The structured process of organizing, categorizing, integrating, annotating, reviewing, and publishing neuroscience data (including data, models, software) with structured metadata, using the openMINDS framework, so they become FAIR (Findable, Accessible, Interoperable, Reusable) within the EBRAINS Knowledge Graph.

What type of data can be shared on EBRAINS?

EBRAINS accepts data from all modalities and from all species, as well as models, software, web services and metadata models (collectively referred to as research products) for sharing. You'll find detailed information about how to share each research product below. 

Is the curation process time consuming and difficult?

No, if communication is on a regular basis, we are able to finish curation within two weeks. Publishing your data naturally takes some effort but we will support you as much as possible.

When should I start with curation?

We strongly recommend to start preparing for data sharing as early as possible. With a structured data repository and adequate notes on how the data was acquired, you greatly minimize the effort required to publish your data. The time it takes to share data on EBRAINS heavily depends on the engagement from the researcher and how well the data and metadata is prepared before-hand. Contact us for personalised guidance on how to prepare for sharing.

Where can I request curation?
Can I share human data?

Yes, post-mortem and anonymized human data can be shared openly, given direct identifiers in the metadata are removed. 
For identifiable data obtained from living human subjects, compliance with the EU General Data Protection Regulation (GDPR) must also be assured. For access to GDPR-sensitive data registered in the EBRAINS Knowledge Graph, users need to comply with a set of conditions, including the acceptance of an additional Data Use Agreement. EBRAINS provides services for sharing of sensitive data via Trusted Research Environments that make the sharing of pseudonymous and raw data possible.

Is sharing my data also beneficial for me or only for others?

When you publish your data via EBRAINS, we provide comprehensive data management support and safe long term storage - all free of charge. Additionally, your data can be cited, just like a scientific journal article. Sharing your data may even lead to new funding opportunities. Many funders specifically support projects that are part of the “Open Science” initiative.

Can my data be too insignificant to share?

No, there is no such thing as insignificant data. Data that is considered insignificant for a given topic, may have great significance for another. By making “insignificant” data publicly available, other researchers may find something interesting that was off-topic for your own purposes.

Can my data be easily misused if I share it?

No, your data will be covered by a Creative Commons license of your choice. There are a variety of licenses available, enabling you to prevent use for specific purposes, e.g. commercial use. 

Can I share my data before my paper is published?

Yes, if you do not want to share your data before publishing the results in an article, you can publish your dataset with an embargo status. This will make it possible to find information about the data without making the data itself available, and give you a citable DOI.

Can I lose my competitive edge if I share my data before I publish the associated paper?

No, publishing your data does not mean that others can use it however they want. Use of your data will require citation, and by choosing an appropriate Creative Commons licence you decide what others are allowed to do with it. If you still feel worried, you can publish your data under embargo, and in this way delay the date of data release, but still make it possible for others to find the information about the data.

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