LADA - License Aware Digital Assistant

Open Research Data, adhering to FAIR principles, prioritizes unrestricted data access under open licenses (e.g., CC0 (Public Domain), CC BY (Attribution)). However, data may be shared under partially restrictive licenses or under the motto “as open as possible, as closed as necessary” to protect the integrity of research. To promote adoption of FAIR principles, enable data searchability based on permissible actions, and ensure compliance with licenses attached to the data, it is essential that licenses are formalized in a machine readable language, like ODRL 2.2. This project aims to develop a License Aware Digital Assistant (LADA), which uses machine-readable license specifications to help social scientists share and reuse open data responsibly. The focus of the project is on formalizing a set of Natural Language licenses into machine-readable formats and developing two interfaces to assist two different types of users. One interface will serve Data Contributors, helping them select the appropriate license to attach to their data, this by considering the rights they hold and the type of actions that should be permitted or restricted on the data. The second interface for Data Researchers will enable them to search for data to reuse and to reuse it correctly. This second service will be implemented by performing a What-if analysis that assists the researcher in understanding which actions are compliant with the licenses associated with the data