A Formal Model for the FAIR4Health Information Architecture.

Area of Science:

• Health Informatics
• Data Science
• Software Engineering

Background:

• The FAIR4Health project developed a robust ETL pipeline for FAIR data and a distributed query platform for health research.
• System deployment and configuration present challenges, particularly regarding local IT architecture integration and security.

Purpose of the Study:

• To present a formal model for describing the information architecture of the FAIR4Health system.
• To address challenges in system configuration and deployment by proposing a structured approach.

Main Methods:

• Development of an ETL pipeline for FAIR data.
• Creation of an agent-based, distributed query platform.
• Application of the 3LGM metamodel to define the information architecture.

Main Results:

• Successful testing in two clinical use cases across five university hospitals.
• Positive evaluation of the 3LGM-based model by developers, highlighting task separation and component interaction.
• The model facilitates clear separation of tasks, software components, and interaction descriptions.

Conclusions:

• The 3LGM metamodel provides a formal approach to describing information architecture, simplifying FAIR data system deployment.
• The developed model enhances system understandability and addresses security concerns in health data research infrastructure.