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  4. Federated Data Ecosystems as an Enabler of the Circular Economy
 
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April 17, 2026
Paper (Preprint, Research Paper, Review Paper, White Paper, etc.)
Title

Federated Data Ecosystems as an Enabler of the Circular Economy

Title Supplement
Illustrated Using the Example of the R-Grading Use Case
Abstract
The article "Federated Data Ecosystems as an enabler of the Circular Economy" highlights the transformative role of Federated Data Ecosystems in supporting the implementation of a Circular Economy, particularly through the use case of "R-Grading". Given the challenges companies face in transitioning from linear to circular business models, R-Grading offers data-driven decision support to identify the optimal R-strategies for products, components and materials.
By integrating lifecycle data and promoting secure and decentralized data exchange between different actors in the value chain, Federated Data Ecosystems create the necessary transparency and interoperability. These systems enable companies to develop more efficient R-strategies executions, which bring both environmental and economic benefits.
The article shows that the implementation of R-Grading in various industries - such as automotive, aviation, railway, machine and fluid power - is promising but still in its infancy. Recommendations for promoting the Circular Economy and Federated Data Ecosystems, aimed at product manufacturers, digital service providers, cross-company collaborations, and legislators, underscore the need for a coordinated approach to overcome existing hurdles.
Overall, it is clear that the combination of technological innovations and a structured, trustbased exchange of data is crucial to fully exploit the potential of the Circular Economy and thus enable a more sustainable future. By creating new service offerings and increasing service revenues, companies can diversify their business models and reduce their dependency on selling new products. Keeping materials in circulation not only improves resource availability and decreases material costs but also strengthens the resilience of supply chains, making organizations less vulnerable to disruptions. Ultimately, the collaborative use of R-Grading tools fosters more robust, sustainable, and adaptable value chains, benefiting both individual enterprises and the broader economy.
Author(s)
Schmidt, Lara
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Dietrich, Katrin
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Revellio, Ferdinand
Siemens AG  
Ro, Seonhi
Labs Network Industrie 4.0 e.V.
Mügge, Janine
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
Vollenbruch, Paul
Siemens Mobility GmbH
Corporate Author
Manufacturing-X Guidance Board
Project(s)
Umsetzung der Digitalisierung für die Fluidtechnik 4.0 im branchen- und herstellerübergreifenden Datenraum mittels Verwaltungsschalen, Teilmodellen und Demonstratoren - Teilvorhaben: Circular Economy fu¨r die Fluidtechnik 4.0  
Funder
Bundesministerium für Wirtschaft und Energie  
Open Access
File(s)
Download (1.87 MB)
Rights
Use according to copyright law
DOI
10.24406/publica-8597
Language
English
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
Keyword(s)
  • Circular Economy

  • Federated Data Ecosystem

  • Manufacturing-X

  • R-Grading

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