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Manufacturing data spaces applications in europe - A survey.
Alexandros Nizamis1,2, Panagiotis Gkonis1, Dimosthenis Ioannidis2
1Department of Digital Industry Technologies, National and Kapodistrian University of Athens, NKUA Euboea, Dirfies Messapies, 34400, Greece.
Data in Brief
|November 10, 2025
Summary
European manufacturing is adopting Data Spaces for collaborative data sharing. This survey details their applications, architectures, and development stages, highlighting key findings for industry adoption.
Area of Science:
- Data Science
- Industrial Informatics
- Manufacturing Engineering
Background:
- Data Spaces are emerging as key enablers for data sharing in collaborative value chains.
- The manufacturing sector in Europe has been an early adopter and promoter of the Data Spaces concept.
- Existing literature lacks a comprehensive survey of Data Spaces applications specifically within European manufacturing.
Purpose of the Study:
- To present a survey of Data Spaces applications in the European Manufacturing domain.
- To identify and analyze application areas, reference architectures, and data connectors used in these Data Spaces.
- To provide insights into the development stage and data utilized in manufacturing Data Space applications.
Main Methods:
- Systematic literature review and analysis of European manufacturing projects utilizing Data Spaces.
- Categorization of applications based on their domain and objectives.
- Examination of reported reference architectures and data integration strategies.
- Assessment of the maturity and data types employed in each application.
Main Results:
- Identified diverse application areas of Data Spaces within manufacturing, including supply chain optimization, predictive maintenance, and product lifecycle management.
- Cataloged various reference architectures and data connectors employed, highlighting common patterns and emerging trends.
- Provided insights into the development stage, with many applications in pilot or early deployment phases.
- Characterized the types of data being shared, ranging from sensor data to production planning information.
Conclusions:
- Data Spaces are significantly advancing data sharing and collaboration in European manufacturing.
- The findings offer valuable guidance for researchers and practitioners on implementing and developing Data Spaces in manufacturing.
- Further research is needed to address challenges related to interoperability, data governance, and scalability.
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