Data Economy and FDOs

Philipp Wieder; Peter Wittenburg; Sven Bingert; Tibor Kalman; Jana Böhm; Stefan Weisgerber; Anna Petschulies; Joshua Gelhaar; Christoph Lange-Bever; Tobias Kleinert; Torben Miny; Igor Garmaev; Hadi Jannatabadi; Henrik tom Wörden; Timm Fitschen

doi:10.52825/ocp.v5i.1413

Authors

Philipp Wieder Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen https://orcid.org/0000-0002-6992-1866
Peter Wittenburg Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen
Sven Bingert Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen
Tibor Kalman Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen
Jana Böhm Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen
Stefan Weisgerber Deutsches Institut für Normung https://orcid.org/0009-0001-1050-8399
Anna Petschulies Deutsches Institut für Normung
Joshua Gelhaar Fraunhofer Institute for Software and Systems Engineering https://orcid.org/0000-0002-8358-5424
Christoph Lange-Bever Fraunhofer Institute for Applied Information Technology
Tobias Kleinert RWTH Aachen University https://orcid.org/0000-0001-7441-4431
Torben Miny RWTH Aachen University https://orcid.org/0000-0002-4304-3735
Igor Garmaev RWTH Aachen University https://orcid.org/0009-0000-5156-4488
Hadi Jannatabadi RWTH Aachen University https://orcid.org/0009-0007-5888-4952
Henrik tom Wörden IndiScale GmbH https://orcid.org/0000-0002-5549-578X
Timm Fitschen IndiScale GmbH https://orcid.org/0000-0002-4022-432X

DOI:

https://doi.org/10.52825/ocp.v5i.1413

Keywords:

FAIR, FAIR Digital Objects, Data Management, Global Integrated Dataspace

Abstract

The FDO One project aims at building a global integrated dataspace based on FAIR digital objects (FDOs). The project's main contributions are the development of a publicly accessible FDO infrastructure, an international FDO testbed and bridges between multiple emerging dataspaces. These dataspaces are defined by important industrial standards, such as the Eclipse Dataspace Connector (EDC) implementing the specifications of the IDSA and the industry 4.0-technology Asset Administration Shell (AAS). A layered architecture as the basis for the common data infrastructure is designed and tested providing an important prerequisite for the efficient data sharing and re-use. Possible applications include the facilitation of AI training which can be democratized using open standards and publicly available data infrastructures.