Data Economy and FDOs

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.

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Publication Details

Journal
Open Conference Proceedings
Published
2025-03-18
DOI
https://doi.org/10.52825/ocp.v5i.1413
Primary Topic
Innovation Policy and R&D
Type
article
Field-Weighted Citation Impact
0.00

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article

Data Economy and FDOs

Torben Miny, Igor Garmaev, Timm Fitschen, Peter Wittenburg et al.
Open Conference Proceedings
Innovation Policy and R&D
article

Data Economy and FDOs

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

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.

Open Conference ProceedingsVol. 5
Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (DE), Fraunhofer Institute for Applied Information Technology (DE), Fraunhofer Institute for Software and Systems Engineering (DE), Deutsches Institut für Normung (DE), RWTH Aachen University (DE)
Bundesministerium für Verkehr und Digitale Infrastruktur
Openalex Percentile: Top 89%
Innovation Policy and R&D
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