03

Implementation of an interoperable pan-European federated repository of health images, including secure data sharing mechanisms

The good performance and sustainable exploitation of the INCISIVE AI and analytics components (Pillar 2) are closely linked with the availability and quality of imaging data, as well as their accurate and easy processing and interpretation. This is considered a key aspect of building confidence on AI solutions and ultimately leading to their wide adoption. Therefore, the project will work towards delivering an interoperable pan-European federated repository of health images, including mechanisms for secure data sharing mechanisms enabling the sustainability of the repository beyond the project lifetime. Towards this direction the following objectives will be implemented:

Objective 3.1
To incorporate a federated data storage schema: enabling the data providers to keep full control of their data, ensure their autonomy and at the same time contribute to the platform.
Objective 3.2
To implement a secure data exchange/sharing and privacy mechanism: based on blockchain technology and eIDAS, enabling secure access to data and identity management and ensuring trust.
Objective 3.3
To develop an automated data curation and an ML-based annotation service: ensuring high- data quality, correct interpretation of data/results, increasing speed and efficiency of annotation by minimizing the human intervention.
Objective 3.4
To incorporate a transaction tracking mechanism: based on blockchain technology recording the INCISIVE data transactions, ensuring transparency and traceability.
Objective 3.5
To define and implement a data donorship mechanism: following all related legal directives and enabling users to share their data while keeping full control of it.
Objective 3.6
To incorporate a data anonymization mechanism: enabling data processing, with respect to all related legal and ethical aspects. The mechanism will be bi-directional, including also a de-anonymization process.
Objective 3.7
To implement an interoperable data integration service: based on a common data model and well-established standards (HL7 FHIR, DICOM, SNOMED), enabling data providers to easily link their data sources to the INCISIVE platform.