FAIR4Health Open Community Membership

One of the key drivers for the FAIR4Health project is to facilitate researchers’ skills to reuse and share health research data and to make that data FAIR compliant. To this end, FAIR4Health is building a platform upon which this can be achieved and provides other tools such as the data-curation-tool and the data-privacy-tool to manage datasets specifically aimed at the health research domain. We have also devised a FAIRification workflow, that has undergone revisions through the course of the project so far, and which provides a set of instructions for researchers to follow when thinking about their health research data.

To allow stakeholders to gain maximum benefit from the FAIRification workflow and tools developed by FAIR4Health, and the knowledge gained, we are setting up the FAIR4Health Open Community Membership. The general public will be able to use the open source software published in the FAIR4Health GitHub repository (under Apache 2.0 license) or to integrate them into their own platform that can be tailored to their own use/purpose. Apart from that, the FAIR4Health Open Community Members will be able to access the Privacy-Preserving Distributed Data Mining (PPDDM) models developed and trained within the project. To access this material, interested parties must register as a member of the FAIR4Health open community.

Possible Benefits for Joining the FAIR4Health Open Community

We anticipate the Membership will have threefold benefits to initial users:

  • Firstly, to allow enhancement of the collaborative use of FAIR4Health’s tools and workflows.
  • Secondly, to improve reuse of the FAIR4Health source code published on GitHub to make their own platform that can be tailored to their own use/purpose.
  • And thirdly, to have priority in receiving all public dissemination materials generated in the context of the project.

With respect to the technological resources, the FAIR4Health open community membership will provide new members access to:

  • The PPDDM models generated in the project.
  • The documents related to the HL7 FHIR Implementation Guidelines that are being developed for FAIR4Health, and the possibility to participate in their development.

Meanwhile, with respect to the dissemination materials, the FAIR4Health open community membership will provide new members:

  • "Priority" access: they will be primary contacts.
  • Invitations to the initiatives that arise from FAIR4Health in the RDA.
  • Invitations to workshops and other events, especially those organized by EFMI (European Federation for Medical Informatics).
  • Invitations to the final plenary of the project at the end of 2021 in Seville.
  • Newsletters providing periodic news about the status of the project.

By meeting these requirements, a membership to the FAIR4Health platform will be more attractive to users and will lay the foundation for more users to join and increase the value of the FAIR4Health project.

Impact of the FAIR4Health membership

This membership will have a major impact in the following aspects:

  • Improved trust in science through increased openness and quality of scientific research in Europe.
  • Stimulate the development of innovative services and products in Europe.
  • Better quality and more productive research and innovation, addressing societal challenges.
  • Contribution to European and global policies and the realisation of Horizon Europe’s objectives.
  • Building a knowledge base through dissemination materials generated in the context of the project:
    • FAIR4Health tools technical guidance.
    • FAIR4Health tools training and tutorials.
    • Drive communication with the EC and EOSC with respect to FAIR compliance.

Commitments of FAIR4Health members

The FAIR4Health Open Community members will have the following commitments:

  • Promote and incentivise open data sharing.
  • Promote the FAIR principles.
  • Develop standardised FAIRification tools.
  • Promote FAIR certification mechanisms.
  • Contribute FAIR research digital objects (data, publications, software, tools, services, etc.) and practices.
  • Give insights into data citation in order to provide proper acknowledgement of researchers.
  • Share expertise with other members.