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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.
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)
Corporate Author
Manufacturing-X Guidance Board
Open Access
File(s)
Rights
Use according to copyright law
Language
English