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IMPaCT-Data: A Federated Precision Medicine Infrastructure Associated with Science and Technology in Spain
Silvia Rodríguez-Mejías1, Fátima Sánchez-Cabo2, Fátima Al-Shahrour3
1Computational Health Informatics Group, Institute of Biomedicine of Seville (IBiS), Virgen del Rocío University Hospital, CSIC, University of Seville, Seville, Spain.
Spain is building the IMPaCT Digital Platform (IDP) to create a trusted research environment (TRE) for secure and FAIR data sharing. This infrastructure supports precision medicine initiatives by integrating diverse health data for advanced analysis.
Area of Science:
- Health Informatics
- Precision Medicine
- Bioinformatics
Background:
- The European Health Data Space (EHDS) initiative promotes secure health data sharing across Europe.
- Spain's IMPaCT (Precision Medicine Infrastructure associated with Science and Technology) aligns with EHDS objectives.
- Establishing a Trusted Research Environment (TRE) is crucial for secure and FAIR (Findable, Accessible, Interoperable, Reusable) data handling.
Purpose of the Study:
- To outline the structure and objectives of Spain's IMPaCT initiative.
- To detail the development of the IMPaCT Digital Platform (IDP) as a core component.
- To describe the federated architecture supporting secure data integration and analysis.
Main Methods:
- Structuring IMPaCT into three pillars: IMPaCT-Cohort (Predictive Medicine), IMPaCT-Genomics (Genomic Medicine), and IMPaCT-Data (Data Science).
- IMPaCT-Data leads the development of the IMPaCT Digital Platform (IDP).
- Implementing a federated model for the IDP architecture to integrate clinical, genomic, and imaging data.
Main Results:
- The IMPaCT initiative is establishing a TRE for precision medicine in Spain.
- The IMPaCT Digital Platform (IDP) is under development to integrate diverse health data.
- A federated architecture is defined for the IDP, supporting national projects.
Conclusions:
- IMPaCT is creating a robust infrastructure for precision medicine research in Spain.
- The IDP will facilitate secure and FAIR data sharing and analysis.
- The federated model ensures scalability and interoperability for health data research.
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