NIH Data Commons
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| NIH Data Commons | |
|---|---|
| Name | NIH Data Commons |
| Type | Initiative |
| Founded | 2018 |
| Founder | National Institutes of Health |
| Headquarters | Bethesda, Maryland |
| Parent organization | National Institutes of Health |
NIH Data Commons The NIH Data Commons is an initiative to create a cloud-based platform for biomedical data sharing, integration, and analysis. It aims to enable researchers funded by the National Institutes of Health, in coordination with stakeholders such as the National Science Foundation and private cloud providers like Amazon Web Services, Google Cloud Platform, and Microsoft Azure, to discover, access, and compute on diverse datasets. The Commons aligns with contemporary open science movements endorsed by entities including the White House Office of Science and Technology Policy and international efforts such as the European Open Science Cloud.
Overview
The Commons is designed as a federated, scalable environment integrating services from vendors and research programs such as the All of Us Research Program, the Cancer Moonshot, and the Human Cell Atlas. It interoperates with standards and infrastructures promoted by organizations like the Global Alliance for Genomics and Health, the FAIR principles advocates, and the Research Data Alliance. Stakeholders include NIH institutes and centers such as the National Library of Medicine, the National Cancer Institute, the National Human Genome Research Institute, plus cooperative efforts with consortia like the BRAIN Initiative and the Encyclopedia of DNA Elements project.
History and Development
The Commons emerged from policy shifts following directives by the Office of Science and Technology Policy and strategic plans from the National Institutes of Health leadership, including testimony before the United States Congress and reports from the National Academies of Sciences, Engineering, and Medicine. Pilot programs began after funding announcements linked to initiatives such as the All of Us Research Program and the Cancer Moonshot. Technical collaborations involved groups like the National Center for Biotechnology Information, academic partners including Harvard University, Stanford University, and Johns Hopkins University, and private partners such as Amazon Web Services and Google Cloud Platform.
Architecture and Components
The Commons combines cloud compute, object storage, metadata catalogs, and authentication/authorization services. Core components reference technology stacks and standards used by projects like the Genomic Data Commons, the Sequence Read Archive, and platforms such as Terra (platform). Identity and access control leverage federation approaches used by InCommon, ORCID, and the Authentication and Authorization for Research and Collaboration community. Metadata architectures map to schemas advanced by the BioSchemas initiative and crosswalks from the Dublin Core elements used by repositories like the Protein Data Bank. Data harmonization workflows reflect pipelines developed in collaboration with centers such as the Broad Institute, Sanger Institute, and software projects originating at European Molecular Biology Laboratory.
Data Policies and Governance
Governance models for the Commons draw on precedents from the Genomic Data Sharing Policy of the National Institutes of Health, the Common Rule overseen by the Department of Health and Human Services, and data access committees similar to those used by the Database of Genotypes and Phenotypes. Privacy frameworks incorporate guidance from the Office for Civil Rights (OCR) and standards such as the Health Insurance Portability and Accountability Act of 1996 and the European Union General Data Protection Regulation. Stewardship and sustainability plans reference governance structures seen in the Research Data Alliance and funding mechanisms used by the National Science Foundation.
Use Cases and Community Projects
Use cases span translational research exemplified by collaborations with the National Cancer Institute for oncology datasets, population health research through the All of Us Research Program, neuroscience projects linked to the BRAIN Initiative, and infectious disease responses as seen during public health responses around COVID-19 pandemic datasets. Community-driven projects include data harmonization efforts with groups like the Human Cell Atlas consortium, tool development partnerships with the Broad Institute and DNAnexus, and training programs co-sponsored with universities such as Massachusetts Institute of Technology and University of California, San Francisco.
Challenges and Criticisms
Critics point to concerns echoed in analyses by the National Academies of Sciences, Engineering, and Medicine and commentary in outlets like Science (journal) and Nature (journal), including costs associated with cloud compute billed by Amazon Web Services and Google Cloud Platform, potential risks to participant privacy under laws like the Health Insurance Portability and Accountability Act of 1996 and the European Union General Data Protection Regulation, and the complexity of harmonizing metadata across initiatives such as the Human Cell Atlas and the Genomic Data Commons. Technical critics highlight interoperability hurdles similar to those encountered in the European Open Science Cloud, while policy analysts compare governance tradeoffs to models used by the Protein Data Bank and the Sequence Read Archive.