TrustNShare – Data Trust Model Balancing Privacy Risk, Reputation, and Incentives
The TrustNShare project aims to facilitate health data exchange by creating a framework that balances privacy, reputation, and incentives. The approach allows for flexible privacy levels while mitigating the risks of data re-identification, supported by blockchain-based tamper-proof logging. Through a participatory development process involving stakeholders, a reputation model and incentives were established. The data trust enhances data sharing negotiations by informing participants of key factors like user reputation and privacy risks.
Authors
- Sven Festag (ORCID: https://orcid.org/0000-0002-2507-5901)
- Stephan Jonas (ORCID: https://orcid.org/0000-0002-3687-6165)
- Sven Bock (ORCID: https://orcid.org/0000-0002-9931-9569)
- Cord Spreckelsen (ORCID: https://orcid.org/0000-0002-7301-1566)
- Friederike Klan (ORCID: https://orcid.org/0000-0002-1856-7334)
- Tim Schneider (ORCID: https://orcid.org/0009-0006-9817-8369)
- Sebastian Uschmann (ORCID: https://orcid.org/0000-0003-3108-6495)
- Hamza Maatouk (ORCID: https://orcid.org/0009-0009-9136-9471)
- A. Weber (ORCID: https://orcid.org/0009-0000-0538-4160)
Institutions
- University Hospital Bonn (DE)
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
- Jena University Hospital (DE)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3233/shti250363
- Primary Topic
- Blockchain Technology Applications and Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00