FAIR-DS – FAIR Data Spaces
Applicant: |
Dr. Christoph Lange-Bever |
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My role: |
Project leader on the part of TIB |
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Funding: |
Bundesministerium für Bildung und Forschung (BMBF) |
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Duration: |
2021 – 2024 |
Innovation in Germany and beyond requires a better transfer of knowledge between science and industry. The first basic initiatives for this are already underway. On the one hand, the National Research Data Infrastructure (NFDI) networks research data and makes them more usable across all scientific disciplines. Second, GAIA-X is creating a secure and federated data infrastructure for Europe.
FAIR Data Spaces aims to build a common cloud-based data space by merging the two initiatives GAIA-X and NFDI while adhering to the FAIR principles. FAIR stands for the guiding principles for the responsible management of research data, which should be Findable, Accessible, Interoperable, and Reusable. The project creates the roadmap for collaboration between the two initiatives, clarifies ethical and legal frameworks for data sharing between academia and industry, develops common technical principles, and demonstrates the use of GAIA-X technologies for making research data available and usable along FAIR principles in various scientific disciplines and industries. Technically, the FAIR Data Spaces project is about generalizing and harnessing the services of individual NFDI consortia for use beyond NFDI. The use of such services in business-related scenarios will be demonstrated in particular by providing them with GAIA-X-compliant interfaces and thus making them interoperable with the GAIA-X Federation Services for Identity & Trust, Federated Catalog, Sovereign Data Exchange and Compliance, which form the core of any data space based on GAIA-X technology.