RD-connect

RD-connect integrates genomic, clinical registry, biobank, and research/trial datasets and links clinical phenotypes, genomic information, and biomaterial availability to support interoperable rare disease research and patient-cohort analyses.

Key Features:

• Data integration: Connects genomic data with clinical registries, biobanks, and bioinformatics tools to create a centralized resource.
• Multi-level linkage: Links clinical phenotypes, genomic information, biomaterial availability, and research/trial datasets at individual-patient and cohort levels.
• Interoperability: Implements interoperability among disparate data sources to enable comparison and synthesis of research findings across institutions.
• Data access and authorization: Enforces data access and authorization procedures to secure sensitive patient information while supporting collaborative analyses.

Scientific Applications:

• Rare disease cohort analysis: Enables integrated analysis of patient cohorts combining genomic and clinical phenotype data to support discovery and hypothesis generation.
• Cross-institutional synthesis: Facilitates comparison and synthesis of research findings across institutions via interoperable data linkage.
• Biomaterial discovery: Links biomaterial availability to associated clinical and genomic data to support sample identification for research and trials.
• Research and trial data integration: Integrates research and clinical trial datasets with genomic and phenotypic information for coordinated analyses.

Methodology:

Integrates genomic data with clinical registries, biobanks, and bioinformatics tools, implements interoperability across disparate sources, supports linkage of clinical phenotypes, genomic information, biomaterial availability and research/trial datasets at individual-patient and cohort levels, and enforces data access and authorization procedures.