Conducts and funds research to turn discoveries into improvements in human health

The National Institutes of Health (NIH) is a medical research agency that is part of the US Department of Health and Human Services. Comprising 27 institutes and centres, the NIH makes and funds discoveries to improve health and save lives. The NIH aims to maximise the value of research data by encouraging data sharing, facilitating innovation of research tools and methods, increasing statistical power, and improving research quality through validation and replication.

The Office of Data Science Strategy (ODSS) will coordinate GA4GH activities across NIH. ODSS leads the implementation of the NIH’s overall data science strategy in order to modernise the NIH data resource ecosystem.

Image summary: Learn about the NIH's strategic plan for data science.

Associated Driver Projects

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GA4GH implementations

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All of Us Researcher Workbench

The Researcher Workbench is a cloud-based platform where registered researchers can access Registered and Controlled Tier data. Its powerful tools support data analysis and collaboration. Integrated help and educational resources are provided through the Workbench User Support Hub.

Biomedical Research Hub (BRH)

BRH is an international cloud-based federated system for managing, analysing, and sharing patient data for research purposes, while allowing each separate resource to operate their component based upon their own governance rules and data structure.

ClinGen Knowledge-base

Funded by the National Institutes of Health (NIH), ClinGen is dedicated to building a central resource that defines the clinical relevance of genes and variants for use in precision medicine and research.

NCI Data Commons Framework

The vision of the Data Commons Framework is to make it easier to develop, operate, and interoperate data commons, data clouds, knowledge-bases, and other resources for managing, analysing, and sharing research data that can be part of a large data commons ecosystem.

NCPI Interoperability Projects and partners

The NIH Cloud Platform Interoperability (NCPI) effort aims to facilitate data availability by encouraging the adoption of common technical standards across various cloud platforms. This approach will enable researchers to conveniently access data from multiple platforms using a single sign-on system, streamlining the processes of data discovery, access, and analysis. NCPI works with partners to pilot and adopt GA4GH standards for data access, portable analysis workflows and tools, authorisation, and interoperability. The “Interoperability Projects” use cases are real-world examples from within the U.S. National Institutes of Health and partner organisations.

NHLBI BioData Catalyst® (BDC)

BDC is a cloud-based ecosystem providing tools, applications, and workflows in secure workspaces that increases access to U.S. National Heart, Lung, and Blood Institute (NHLBI) funded datasets and innovative data analysis capabilities.