Are you new to GA4GH? Is this your first time attending a GA4GH Connect meeting? If so, this page is designed to give you an overview of GA4GH to help get you caught-up to speed!
GA4GH Connect is our annual working meeting to bring together GA4GH's active contributor's community to advance standards development and objectives of the GA4GH Roadmap. At this meeting specifically, we'll be focused on cross-Work Stream collaboration on key topics.
GA4GH Strategic Roadmap
The 2020-2021 Strategic Roadmap outlines strategies, standards, and policies for enabling genomic and related health data sharing. The roadmap is comprised of two parts:
- Our strategic community imperatives
- A product roadmap of standards, policies, and projects that each Work Stream will focus on to advance the data sharing needs of the community
- How is GA4GH structured?
- What GA4GH standards have been approved?
- List of GA4GH Acronyms
- GA4GH 2020 Connection Demos
Enabling a Global Learning Health System
Learn more about GA4GH standards and how they can play a role at every step throughout a learning health system.
GA4GH Work Streams drive our standards development work. Learn more about GA4GH Work Streams and Initiatives below! You will also find brief video updates from each Work Stream, from our meeting at GA4GH 8th Plenary in 2020.
The Clinical & Phenotypic Data Capture (Clin/Pheno) Work Stream aims to support clinical adoption of genomics through information models and standards for describing and exchanging clinical phenotypes.
The Data Security Work Stream aims to help the community to keep data protected and ensure that GA4GH standards are developed within a sound risk-management framework.
The Discovery Work Stream aims to facilitate the discovery and utilization of data sources and services.
The Larger Scale Genomics (LSG) Work Stream aims to develop efficient formats to store, access, and analyze sequencing reads, genetic variation, and gene expression information.
The Cloud Work Stream aims to help the genomics and health communities take full advantage of modern cloud environments by bringing algorithms to the data.
The Data Use & Researcher Identities (DURI) Work Stream aims to help the community facilitate and streamline data access processes by standardizing researcher identity and data use.
The Genomic Knowledge Standards (GKS) Work Stream aims to enable downstream analysis of genomic data by developing common APIs for exchanging reference genomic information.
The Regulatory & Ethics Work Stream (REWS) aims to create and harmonize forward-looking consent & privacy policies, & anticipatory data governance models—building upon the human right to benefit from science.
The Federated Analysis Systems Project (FASP) was established to show that GA4GH APIs, when used in concert, can facilitate real-world, scientific use cases by conducting genomic analysis in the cloud. FASP aims to simulate how a researcher would search, access, and analyze genomic data within the GA4GH ecosystem via end-to-end test scenarios involving multiple Driver Projects.
The GA4GH Equity, Diversity, and Inclusion (EDI) Group aims to examine and address equity, diversity, and inclusion within the GA4GH standards development community.