Work Streams

Artificial Intelligence Work Stream (AIWS)

Advances open standards and governance for AI-driven genomic discovery, analysis, and model training.

Clinical & Phenotypic Data Capture (Clin/Pheno) Work Stream

Helps clinicians and researchers store, describe, and send data about observable traits (phenotypes) and clinical care.

Data Security Work Stream

The Data Security Work Stream develops products and guidelines to safeguard privacy, data integrity, and service availability. The Work Stream also assesses GA4GH outputs for risk or security implications.

Data Use & Researcher Identity (DURI) Work Stream

Creates tools to communicate who can access datasets for which purposes. Helps confirm user identity and match researcher type to data permissions.

Discovery Work Stream

Standardises how genomic and clinical data are described and searched, connecting independent resources so they can be discovered and queried without centralising the data.

Federated Analysis Work Stream (formerly Cloud Work Stream)

Standardises how researchers bring analysis to data by defining, sharing, and executing portable workflows to ensure secure and reproducible data access across federated environments

Genomic Knowledge Standards (GKS) Work Stream

Designs technical standards that enable computer-to-computer exchange of information about genomes, improving the search and application of genomic knowledge.

Regulatory & Ethics Work Stream (REWS)

Develops community-driven policies, tools, and standards that address regulatory and ethical considerations in genomic research and international data sharing.