This research has been supported by European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813497 (PROTECT) and `Datos 4.0 Retos y Soluciones' (TIN2016-78011-C4-3-R). Harshvardhan J. Pandit is funded by Irish Research Council Government of Ireland Postdoctoral Fellowship Grant#GOIPD/2020/790; European Union's Horizon 2020 research and innovation programme under NGI TRUST Grant#825618 for Project#3.40 Privacy-as-Expected: Consent Gateway; and by the ADAPT SFI Centre for Digital Media Technology which is funded by Science Foundation Ireland through the SFI Research Centres Programme and is co-funded under the European Regional Development Fund (ERDF) through Grant#13/RC/2106\P2. Project webpage https://protect.oeg.fi.upm.es/solid-consent/ Profile documentation https://w3id.org/oac/ Code repository https://github.com/besteves4/odrl-access-control-profile

Solid, the emerging technology for organizing data in decentralized stores, relies on a simple authorization mechanism for granting access to data. Solid's personal online datastores (Pods) are ideal for keeping personal data, as they allow individuals to represent the access permissions in a very simple manner using Access Control Language (ACL) expressions. Whereas these expressions suffice for yes/no and read/write permissions, they cannot represent more complex rules nor invoke regulation-specific concepts. This paper describes an extension of the ACL language and algorithm to implement consent and data requests. The extension is based on the Open Digital Rights Language (ODRL) policy language, which allows expressing rich rules, and the Data Privacy Vocabulary (DPV), which permits invoking privacy and data protection-specific terms. Some usage examples illustrate this proposal.