FAIR Digital Object One

The “FDOOne - FAIR Digital Object One” project is all about networking data spaces according to a basic standard that fulfills the FAIR principles. The acronym FAIR stands for Findable, Accessible, Interoperable and Reusable. This approach aims to bring together the highly fragmented digital space of all digital objects. In order to achieve this goal, three project priorities have been agreed:

  • the networking of data spaces, focusing on the transfer of data into secure, trustworthy artificial intelligence (AI) applications,
  • strengthening trust in AI, which primarily includes reproducibility,
  • strengthening the AI ecosystem, in particular by defining and improving framework conditions for companies.

The challenge

In addition to the highly fragmented data space, the applicability of FAIR Digital Objects (FDO) is one of the biggest challenges. This needs to be demonstrated in the course of the project by applying it in various practical scenarios. It must be possible to guarantee problem-free applicability in security-relevant areas in particular. In addition, it must be investigated how the concepts and technologies of FDOs can be merged with the existing approaches of the International Data Spaces Association (IDSA), Eclipse Dataspace Components (EDC) and Asset Administration Shell (AAS) to ensure interoperability and the sharing of data across data spaces.


Our service

Fraunhofer ISST contributes to FDOOne with many years of experience and the necessary know-how in the areas of data room architectures and technologies. First and foremost, we support the development of a concept for optimal networking, taking into account various architectures and technologies, such as IDSA and EDC. In addition, the aim is to develop a market-relevant use case that demonstrates the exchange of data between data spaces based on FDOs, EDC and AAS. In this area, Fraunhofer ISST is responsible for the prototypical implementation of the technical infrastructure required for this. In addition, workshops will be held with the project participants to ensure smooth implementation in industry at a later date.


The result

The project results should show that the concepts of FDOs can be integrated into existing data room architectures and technologies. This will be demonstrated using a prototype implementation at the technological level and tested using selected use cases. In addition, a roadmap for the future development and implementation of FDOs in science and industry will be defined. Ultimately, the FDOOne project aims to bring together and further expand the existing national and international community around FDOs.


The partners

  • Fraunhofer-Institut für Software- und Systemtechnik ISST
  • Fraunhofer-Institut für Angewandte Informationstechnik FIT
  • Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) - Society for scientific data processing
  • IndiScale GmbH
  • RWTH Aachen University
  • DIN e.V. (German Institute for Standardization)


The funding  

This work is funded by the Federal Ministry for Digital and Transport as part of the MISSION KI - National Initiative for Artificial Intelligence and Data Economy.