ODRE Framework

The main objective of this project is to explore and develop solutions based on the W3C standard ODRL to define, use, and enforce privacy policies in digital environments, achieving transparency, control, and data sovereignty; particularly in decentralized environments like Dataspaces.

Objectives

• Applied research
• Practical solutions
• Academic and industry collaboration

How to Contribute

In our community, we believe that innovation thrives through collaboration. Our mission is to develop cutting-edge, open-source components that empower developers and researchers around ODRL policies. Whether you're passionate about writing code, exploring new technologies, or contributing with research, there's a place for you here! Together, we can push boundaries, solve real-world problems, and create tools that benefit everyone. We welcome any collaboration and invite anyone to join our team.

Enforce Implementations

For enforcing ODRL policies, we provide two implementations developed in Python, distributed through pip, and Java, distributed through maven. Both libraries and various examples can be found in their repositories, intended for researchers, developers, and professionals interested in applying ODRL in their systems.

Publications

• Open Digital Rights Enforcement Framework (ODRE): from descriptive to enforceable policies. Andrea Cimmino and Juan Cano-Benito and Raúl García-Castro. Computers & Security, 2409.17602. 2024. Access text

• The AURORAL privacy approach for Smart Communities based on ODRL. Andrea Cimmino and Juan Cano-Benito and Raúl García-Castro. GIECS. 2024. Access text

• Towards time privacy policies in ODRL. Cano-Benito, Juan and Cimmino, Andrea and García-Castro, Raúl. NeXt-generation Data Governance workshop. 2024. Access text

• Injecting data into ODRL privacy policies dynamically with RDF mappings. Cano-Benito, Juan and Cimmino, Andrea and García-Castro, Raúl. Companion Proceedings of the ACM Web Conference 2023., 246--249. 2023. Access text

• Practical challenges of ODRL and potential courses of action. Cimmino, Andrea and Cano-Benito, Juan and García-Castro, Raúl. Companion Proceedings of the ACM Web Conference 2023, 1428--1431. 2023. Access text