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A Data Space-Driven Approach for Interoperability in Federated Digital Twins

Abstract

Digital Twins (DTs) are pivotal in enabling real-time monitoring and optimization across diverse domains, but their deployment is often constrained within isolated silos—hindering seamless interoperability, data governance, and cross-domain collaboration. In this paper, we propose a novel architecture for Federated Digital Twins (FDTs) that integrates knowledge graph-based DTs with standardized Data Space technologies to overcome these barriers. Building upon our previous work on SINDIT, we extend its capabilities by incorporating Data Space protocols based on the International Data Spaces (IDS) Reference Architecture, enabling secure, sovereign, and semantically interoperable data sharing. We illustrate the approach through a real-world use case in the photovoltaic (PV) panel lifecycle, where stakeholders collaboratively manage and share data—such as material composition, operational history, and recycling records—via interconnected DTs and Data Spaces. This highlights the potential of FDT ecosystems to support secure data exchange and circularity across industrial value chains.
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Category

Academic chapter

Language

English

Affiliation

  • SINTEF Industry / Metal Production and Processing
  • SINTEF Digital / Sustainable Communication Technologies
  • Norwegian University of Science and Technology

Year

2026

Publisher

Springer

Book

Management of Digital EcoSystems

ISBN

9783032365460

Page(s)

192 - 206

View this publication at Norwegian Research Information Repository