The Leipzig Health Atlas-An Open Platform to Present, Archive, and Share Biomedical Data, Analyses, and Models Online

Area of Science:

• Health Informatics
• Medical Research Data Management
• Bioinformatics

Background:

• Medical research relies on data from clinical trials and studies, often poorly described and inaccessible.
• Existing data and predictive models are frequently unavailable to healthcare and biomedical professionals.
• Lack of accessible, well-described medical data hinders secondary research and evidence-based medicine.

Purpose of the Study:

• To establish the Leipzig Health Atlas (LHA) as a comprehensive online platform for archiving medical research outputs.
• To address the gap in data and model accessibility within the medical research domain.
• To provide a sustainable repository for data, metadata, models, and phenotypes from diverse research projects.

Main Methods:

• Developed LHA as an online platform to archive medical data, metadata, models, and phenotypes.
• Ensured semantically rich metadata description for all archived components.
• Implemented unique permanent identifiers for datasets and models to facilitate referencing and sharing.
• Adhered to FAIR data principles (Findable, Accessible, Interoperable, Reusable) for all managed assets.

Main Results:

• The LHA platform is operational and actively used by clinical trial and research groups.
• The platform is gaining traction within the biomedical community.
• LHA is designated as a key component of Germany's national research data infrastructure for health.

Conclusions:

• The Leipzig Health Atlas (LHA) successfully enhances the accessibility and reusability of medical research data and models.
• LHA supports FAIR data principles, fostering collaboration and advancing health research.
• The platform is poised to become a cornerstone of national health research data infrastructure.