Automated machine-readable data access agreements by applying ODRL to a FAIR Data TrainData Access Agreement • November 12th, 2024
Contract Type FiledNovember 12th, 2024Nowadays, daily data generation is at an all-time high and is predicted to further grow in the future. Therefore, the demand for efficient, automated, and secure data access agreements is becoming increasingly crucial. This thesis investigates the potential of using the Open Digital Rights Language (ODRL) to create machine-readable data access agreements within the FAIR Data Train (FDT) framework. The main objective is to explore how ODRL can facilitate data access authorisation in federated analysis platforms like the FDT, thereby enhancing the efficiency of data sharing while maintaining data ownership and adhering to privacy regulations.