Declarative Policy Control for Data Spaces: A DSL-Based Approach for Manufacturing-X
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909930721640448 |
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| author | Pfeiffer, Jérôme Maisch, Nicolai Friedl, Sebastian Strljic, Matthias Milan Lechler, Armin Riedel, Oliver Wortmann, Andreas |
| author_facet | Pfeiffer, Jérôme Maisch, Nicolai Friedl, Sebastian Strljic, Matthias Milan Lechler, Armin Riedel, Oliver Wortmann, Andreas |
| contents | The growing adoption of federated data spaces, such as in the GAIA-X and the International Data Spaces (IDS) initiative, promises secure and sovereign data sharing across organizational boundaries in Industry 4.0. In manufacturing ecosystems, this enables use cases, such as cross-factory process optimization, predictive maintenance, and supplier integration. Frameworks and standards, such as the Asset Administration Shell (AAS), Eclipse Dataspace Connector (EDC), ID-Link and Open Platform Communications Unified Architecture (OPC UA) provide a strong foundation to realize this ecosystem. However, a major open challenge is the practical description and enforcement of context-dependent data usage policies using these base technologies - especially by domain experts without software engineering backgrounds. Therefore, this article proposes a method for leveraging domain-specific languages (DSLs) to enable declarative, human-readable, and machine-executable policy definitions for sovereign data sharing via data space connectors. The DSL empowers domain experts to specify fine-grained data governance requirements - such as restricting access to data from specific production batches or enforcing automatic deletion after a defined retention period - without writing imperative code. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_22513 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Declarative Policy Control for Data Spaces: A DSL-Based Approach for Manufacturing-X Pfeiffer, Jérôme Maisch, Nicolai Friedl, Sebastian Strljic, Matthias Milan Lechler, Armin Riedel, Oliver Wortmann, Andreas Software Engineering The growing adoption of federated data spaces, such as in the GAIA-X and the International Data Spaces (IDS) initiative, promises secure and sovereign data sharing across organizational boundaries in Industry 4.0. In manufacturing ecosystems, this enables use cases, such as cross-factory process optimization, predictive maintenance, and supplier integration. Frameworks and standards, such as the Asset Administration Shell (AAS), Eclipse Dataspace Connector (EDC), ID-Link and Open Platform Communications Unified Architecture (OPC UA) provide a strong foundation to realize this ecosystem. However, a major open challenge is the practical description and enforcement of context-dependent data usage policies using these base technologies - especially by domain experts without software engineering backgrounds. Therefore, this article proposes a method for leveraging domain-specific languages (DSLs) to enable declarative, human-readable, and machine-executable policy definitions for sovereign data sharing via data space connectors. The DSL empowers domain experts to specify fine-grained data governance requirements - such as restricting access to data from specific production batches or enforcing automatic deletion after a defined retention period - without writing imperative code. |
| title | Declarative Policy Control for Data Spaces: A DSL-Based Approach for Manufacturing-X |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2511.22513 |