European Health Research Data and Sample Catalogue

European Health Research Data and Sample Catalogue integrates and harmonizes metadata from diverse European health research catalogues to increase findability, accessibility, interoperability, and reusability (FAIR) of individual-level human datasets for multi-center and real-world health research.

Key Features:

• Unified harmonization framework: Harmonizes underlying concepts across catalogues and allows nesting of multi-center cohort catalogues within broader real-world data source catalogues.
• Minimal standardization: Implements clear data licensing, persistent identifiers, and minimal metadata common data elements using shared ontologies to enable integration.
• Symmetric data-sharing architectures: Supports both push and pull architectures for data sharing with provenance tracking to manage updates and acknowledge original contributors.
• Collaborative network integration: Leverages international and domain-specific initiatives such as OpenAIRE, research data alliances, BBMRI, and ELIXIR to support coordinated catalogue development and resource sharing.

Scientific Applications:

• Addressing data heterogeneity: Enables comparative analyses across lifestyle, demography, laboratory measures, and clinical parameters by harmonizing metadata.
• Multi-center cohort research: Facilitates discovery and reuse of cohort-level data nested within larger catalogues for pooled and cross-cohort analyses.
• Real-world evidence generation: Supports linkage and reuse of diverse real-world data sources for public health and clinical research.
• FAIR data stewardship: Promotes FAIRification of data descriptions to accelerate data reuse and interoperability in health research.

Methodology:

FAIRification of data descriptions; implementation of clear data licensing and persistent identifiers; definition of minimal metadata common data elements using shared ontologies; harmonization of underlying concepts to enable nesting of catalogues; support for push and pull architectures; and provenance tracking.