Enabling secure, privacy-preserving and trustworthy data use in medical research
Medical research increasingly depends on access to large and diverse datasets. These datasets may include clinical records, research observations, medical imaging, laboratory results, genomic information and data generated by connected medical devices.
While data sharing can accelerate scientific discovery, it also creates significant privacy, security and governance challenges. Health data is highly sensitive, and its use must comply with strict legal, ethical and organisational requirements.
In the medical research domain, compliance with regulations, including the European Health Data Space (EHDS), General Data Protection Regulation (GDPR), Medicate Device Regulation (MDR), and In Vitro Diagnostic Regulation (IVDR) is critical.
The TRUST framework supports medical research by providing a structured governance environment for the secure and responsible use of health-related data.
This use case will validate the TRUST platform in the medical research domain. It will test TRUST modules in three scenarios: 1) preparing EHDS secondary-use data permits, 2) assembling GDPR/MDR compliance packages, and 3) verifying cross-border data sharing, including synthetic-data pathways.
The use case will show how the platform can automate obligation discovery, risk prioritisation, and audit-ready reporting while keeping human-in-the-loop oversight for ethics and DPOs. The expected output is a tested and operational TRUST system, as well as an evaluation report and feedback on user satisfaction.
This use case supports more secure, transparent and efficient medical research collaboration.
Researchers benefit from reliable processes for ensuring compliance with relevant regulations. Patients, research participants and healthcare stakeholders gain greater assurance that sensitive information is being used responsibly.
The approach contributes to more trustworthy medical innovation by aligning scientific progress with privacy protection, ethical principles and robust governance.