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Article

Integration Approaches for Digital Twins in Dataspaces

1
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, 76131 Karlsruhe, Germany
2
Fraunhofer Institute for Industrial Engineering IAO, 70569 Stuttgart, Germany
*
Author to whom correspondence should be addressed.
Appl. Sci. 2025, 15(21), 11623; https://doi.org/10.3390/app152111623
Submission received: 2 October 2025 / Revised: 23 October 2025 / Accepted: 26 October 2025 / Published: 30 October 2025
(This article belongs to the Special Issue Advanced Digital Design and Intelligent Manufacturing)

Abstract

Digital twins (DTs) based on the Asset Administration Shell (AAS) enable interoperable representations of industrial assets, while dataspaces like those defined by the International Data Spaces (IDS) facilitate sovereign, policy-governed data exchange across organizations. However, integrating AAS-based DTs into dataspaces remains challenging due to manual processes, synchronization issues, and varying implementation strategies. This paper addresses these gaps by first presenting a structured analysis of existing integration approaches and evaluating the user requirements to be met. We then introduce a flexible reference implementation extending the Eclipse Dataspace Connector (EDC), which automates AAS registration into dataspaces. Finally, we conduct a qualitative comparison with state-of-the-art prototypes from initiatives such as Catena-X and Factory-X and demonstrate the application of our integration approach in the MODAI project for sensor-driven manufacturing data sharing. Results indicate that the integration approach reduced manual effort and provides synchronization between digital twins and dataspace.
Keywords: Dataspace; Digital Twin; Asset Administration Shell (AAS); Industry 4.0 Dataspace; Digital Twin; Asset Administration Shell (AAS); Industry 4.0

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MDPI and ACS Style

Schmidt, C.; Volz, F.; Stojanovic, L.; Kett, H. Integration Approaches for Digital Twins in Dataspaces. Appl. Sci. 2025, 15, 11623. https://doi.org/10.3390/app152111623

AMA Style

Schmidt C, Volz F, Stojanovic L, Kett H. Integration Approaches for Digital Twins in Dataspaces. Applied Sciences. 2025; 15(21):11623. https://doi.org/10.3390/app152111623

Chicago/Turabian Style

Schmidt, Carlos, Friedrich Volz, Ljiljana Stojanovic, and Holger Kett. 2025. "Integration Approaches for Digital Twins in Dataspaces" Applied Sciences 15, no. 21: 11623. https://doi.org/10.3390/app152111623

APA Style

Schmidt, C., Volz, F., Stojanovic, L., & Kett, H. (2025). Integration Approaches for Digital Twins in Dataspaces. Applied Sciences, 15(21), 11623. https://doi.org/10.3390/app152111623

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