Quality research data output management and the FAIR principles emphasise the provision of licences, clear access conditions or limitations, and applicable policies for purposes of reuse. Machine-readability of such policies, access conditions, and licences is becoming more and more important as automation of research workflows and AI agent-driven processes gather pace.

The current landscape of standards and resources have specific shortcomings in respect of typical use cases (automated licence guidance, detection of applicable licences and policies, machine execution of policy, licence and access provisions, matching appropriate licences and policies to content, and synthesis of custom policies and licences when required). Moreover, existing licence formulations focus almost exclusively on creator rights (intellectual property) and do not allow formulation of limitations and duties in respect of subject rights protection.

The OpenREL (Open Rights Encoding Language) extends existing standards (such as ODRL) and associated resources (ccREL, SPDX, DPV, DALICC, DUO, and IDSC) to provide a comprehensive vocabulary for encoding of policies, licences, access rules and process rules, and provides exemplar services in support of the use cases described earlier. It also provides API-based access to policy and licence encodings, and example or reference UI applications to assist with adoption and implementation.

Speakers:

• Wim Hugo (DANS)
• Prodromos Tsiavos (OpenAIRE)
• Melios Katsamakis (OpenAIRE)