University of Twente Student Theses
Automated machine-readable data access agreements by applying ODRL to a FAIR Data Train
Veltmaat, S.P. (2024) Automated machine-readable data access agreements by applying ODRL to a FAIR Data Train.
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| Abstract: | Nowadays, 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. The research follows the Design Science methodology. Which involves the problem investigation, solution design, and validation phases. Initially, a comprehensive literature review on Rights Expression Languages (RELs) was conducted to assess the suitability of ODRL for this application. The design phase involved creating scenarios demonstrating various aspects of ODRL defining data access agreements, which were then validated through stakeholder surveys within a real-world FDT use case. The findings indicate that ODRL can effectively support the creation of standardised, automated data access agreements. The developed scenarios and corresponding Resource Description Framework (RDF) agreements provide a robust basis for matching access requests with access policies. This matching process is critical for automating data access authorisations, significantly reducing the time and manual effort traditionally required. In conclusion, the research confirms that applying ODRL within the FDT framework offers a viable solution for automating data access agreements. This advancement streamlines the data sharing process while upholding essential privacy and ownership standards. |
| Item Type: | Essay (Master) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Business Information Technology MSc (60025) |
| Link to this item: | https://purl.utwente.nl/essays/103662 |
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