Read a high-level overview of the RADx Data Hub as well as the programs and external partners who support the development of the system.
Learn about existing grants, contracts, and other opportunities related to COVID-19 research that open for application.
Read our latest press releases, news articles, and updates concerning RADx Data Hub and COVID-19.
View upcoming webinars and other events about key topics related to the RADx Data Hub, such as de-identification, using the hub, and more.
View published research from across the NIH RADx Initiative to inspire secondary analysis and potential collaborations
Familiarize yourself with the RADx Data Hub Code of Conduct, which outlines the rules and standards you must comply with when using the RADx Data Hub.
Read answers to commonly asked questions about the RADx Data Hub on key topics, such as file organization, requesting access to data, data use and compliance as well as general questions about the hub.
Take a look at our list of over 20 terms used across the RADx Data Hub. This list supplements the RADx Data Hub Tutorial as well as the FAQ document to help you understand the content in the hub.
Explore graphical and tabular statistics for RADx Data Hub Studies.
Learn about the different types of files in the RADx Data Hub and how they are related to each other.
Read this one-pager on the key steps you will need to follow to gain access to studies in dbGaP. Note: You must gain access to studies in dbGaP before being able to transfer data files into your workbench instance.
Learn how to request study-level access to data files in dbGaP. Once you gain access to data files, you can use the "Approved Data" and "Analytics Workbench" features.
Learn how to make the most of the RADx Data Hub by reading our User Tutorial. The tutorial covers key activities for researchers, such as searching for studies, requesting access to data, and more.
Take a look at the RADx Data Use Agreement to understand how data should be handled when using the RADx Data Hub.
Learn about NIH's expectations for the management and protection of NIH controlled access data transferred to and maintained by institutions whether in their own institutional data storage systems or in cloud computing systems.
Learn how to take advantage of the various tools for performing analyses on the Analytics Workbench platform.
Read our Workbench Terms of Service outlining terms and conditions you must comply with when using the Analytics Workbench platform.
Read our guidelines for preparing datasets and associated documentation to deposit in the RADx Data Hub.
Learn how to register your study in the RADx Data Hub and make your research available to the COVID-19 research community.
Ensure your data files comply with NIH data standards by viewing the Global Codebook, a data dictionary that oulines the standards for the Tier 1 Common Data Elements (CDEs).
Follow our De-Identification Guidance to correctly de-identify your data and ensure your data files pass the system's validation checks during the file submission process.
Listen to our experts talk about best practices for data de-identification.
Listen to our experts discuss how to make datasets more findable and accessible by using things like Digitable Object Identifiers (DOI), Compact URIs (CURIEs), and other identifiers.
Learn about the types of data files, their naming conventions, and content rules when preparing data files to be submitted to the RADx Data Hub
Browse collections of deidentified clinical data in the United States for COVID-19 research. The N3C systematically and regularly collects data derived from the electronic health records of people who were tested for COVID-19 or who had related symptoms.
Browse maps, charts, and data provided by the Centers for Disease Control and Prevention (CDC) on jurisdictional hospitalizations, deaths, emergency department visits, and test positivity for COVID-19, as well as COVID-19 data focused on variants, wastewater surveillance, and post-COVID conditions.
Explore studies of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) seroprevalence in the United States. COVID-19 SeroHub is a collaboration of the Centers for Disease Control and Prevention, National Cancer Institute, and National Institute of Allergy and Infectious Diseases.
Explore SARS-CoV-2 screening data and assay information from the National Center for Advancing Translational Sciences (NCATS) developed by screening a panel of SARS-CoV-2–related assays against all approved drugs. Data can be viewed, sorted, searched and exported directly from the portal website.
Browse list of data sharing repositories maintained by the Trans-NIH BioMedical Informatics Coordinating Committee (BMIC). Domain-specific repositories are typically limited to data of a certain type or related to a certain discipline. Generalist repositories accept data regardless of data type, format, content, or disciplinary focus.
Browse the collection of structured human and machine-readable definitions of data elements that have been recommended or required by NIH Institutes and Centers and other organizations for use in research and for other purposes.
Browse collection of NIH-Endorsed Common Data Elements. The Project 5 Tier 1 CDEs are intended to support a wide spectrum of translational, clinical, and applied COVID-19 research.
Browse the set of 12 common data elements required to be used in data collection and generation by all studies involving human participants under the NIH Rapid Acceleration of Diagnostics (RADx) program.
Browse the set of common data elements and standardized study questions to be used in projects supported under the NIH Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) program.
Browse recommended collections of measurement protocols to support research on COVID-19, including Specialty Collections.
Browse a collection of COVID-19-related data collection tools, including surveys, data dictionaries, and more, from the Disaster Research Response (DR2) program.
Unified Medical Language System (UMLS) Terminology Services (UTS) provides access to the UMLS Knowledge Sources and to UMLS tools, including the UMLS Metathesaurus Browser, the Value Set Authority Center (VSAC), RxNorm Browser (RxNav), SNOMED CT Browser and more. Users can access the UTS after requesting a UMLS Metathesaurus license and creating a UTS account.
Explore terminologies hosted by NCI Enterprise Vocabulary Services (EVS), including NCI Thesaurus, ChEBI, GO, ICD-10-CM, and more.
Explore the NIH Guide for Grants and Contracts, which is the NIH's official publication of notices of grant policies, guidelines, and funding opportunities. Search across over 17,000 records to find your organization's next opportunity.
View this NIH policy outlining data submission requirements, data management best practices, and expectations for sharing NIH-funded or conducted research.
Browse this literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus.
Browse NIH COVID-19 resources, including datasets, tools, and publications.
Browse NIH COVID-19 Youtube resources.
Read a high-level overview of the RADx Data Hub as well as the programs and external partners who support the development of the system.
Learn about existing grants, contracts, and other opportunities related to COVID-19 research that open for application.
Read our latest press releases, news articles, and updates concerning RADx Data Hub and COVID-19.
View upcoming webinars and other events about key topics related to the RADx Data Hub, such as de-identification, using the hub, and more.
View published research from across the NIH RADx Initiative to inspire secondary analysis and potential collaborations
Familiarize yourself with the RADx Data Hub Code of Conduct, which outlines the rules and standards you must comply with when using the RADx Data Hub.
Read answers to commonly asked questions about the RADx Data Hub on key topics, such as file organization, requesting access to data, data use and compliance as well as general questions about the hub.
Take a look at our list of over 20 terms used across the RADx Data Hub. This list supplements the RADx Data Hub Tutorial as well as the FAQ document to help you understand the content in the hub.
Explore graphical and tabular statistics for RADx Data Hub Studies.
Learn about the different types of files in the RADx Data Hub and how they are related to each other.
Read this one-pager on the key steps you will need to follow to gain access to studies in dbGaP. Note: You must gain access to studies in dbGaP before being able to transfer data files into your workbench instance.
Learn how to request study-level access to data files in dbGaP. Once you gain access to data files, you can use the "Approved Data" and "Analytics Workbench" features.
Learn how to make the most of the RADx Data Hub by reading our User Tutorial. The tutorial covers key activities for researchers, such as searching for studies, requesting access to data, and more.
Take a look at the RADx Data Use Agreement to understand how data should be handled when using the RADx Data Hub.
Learn about NIH's expectations for the management and protection of NIH controlled access data transferred to and maintained by institutions whether in their own institutional data storage systems or in cloud computing systems.
Learn how to take advantage of the various tools for performing analyses on the Analytics Workbench platform.
Read our Workbench Terms of Service outlining terms and conditions you must comply with when using the Analytics Workbench platform.
Read our guidelines for preparing datasets and associated documentation to deposit in the RADx Data Hub.
Learn how to register your study in the RADx Data Hub and make your research available to the COVID-19 research community.
Ensure your data files comply with NIH data standards by viewing the Global Codebook, a data dictionary that oulines the standards for the Tier 1 Common Data Elements (CDEs).
Follow our De-Identification Guidance to correctly de-identify your data and ensure your data files pass the system's validation checks during the file submission process.
Listen to our experts talk about best practices for data de-identification.
Listen to our experts discuss how to make datasets more findable and accessible by using things like Digitable Object Identifiers (DOI), Compact URIs (CURIEs), and other identifiers.
Learn about the types of data files, their naming conventions, and content rules when preparing data files to be submitted to the RADx Data Hub
Browse collections of deidentified clinical data in the United States for COVID-19 research. The N3C systematically and regularly collects data derived from the electronic health records of people who were tested for COVID-19 or who had related symptoms.
Browse maps, charts, and data provided by the Centers for Disease Control and Prevention (CDC) on jurisdictional hospitalizations, deaths, emergency department visits, and test positivity for COVID-19, as well as COVID-19 data focused on variants, wastewater surveillance, and post-COVID conditions.
Explore studies of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) seroprevalence in the United States. COVID-19 SeroHub is a collaboration of the Centers for Disease Control and Prevention, National Cancer Institute, and National Institute of Allergy and Infectious Diseases.
Explore SARS-CoV-2 screening data and assay information from the National Center for Advancing Translational Sciences (NCATS) developed by screening a panel of SARS-CoV-2–related assays against all approved drugs. Data can be viewed, sorted, searched and exported directly from the portal website.
Browse list of data sharing repositories maintained by the Trans-NIH BioMedical Informatics Coordinating Committee (BMIC). Domain-specific repositories are typically limited to data of a certain type or related to a certain discipline. Generalist repositories accept data regardless of data type, format, content, or disciplinary focus.
Browse the collection of structured human and machine-readable definitions of data elements that have been recommended or required by NIH Institutes and Centers and other organizations for use in research and for other purposes.
Browse collection of NIH-Endorsed Common Data Elements. The Project 5 Tier 1 CDEs are intended to support a wide spectrum of translational, clinical, and applied COVID-19 research.
Browse the set of 12 common data elements required to be used in data collection and generation by all studies involving human participants under the NIH Rapid Acceleration of Diagnostics (RADx) program.
Browse the set of common data elements and standardized study questions to be used in projects supported under the NIH Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) program.
Browse recommended collections of measurement protocols to support research on COVID-19, including Specialty Collections.
Browse a collection of COVID-19-related data collection tools, including surveys, data dictionaries, and more, from the Disaster Research Response (DR2) program.
Unified Medical Language System (UMLS) Terminology Services (UTS) provides access to the UMLS Knowledge Sources and to UMLS tools, including the UMLS Metathesaurus Browser, the Value Set Authority Center (VSAC), RxNorm Browser (RxNav), SNOMED CT Browser and more. Users can access the UTS after requesting a UMLS Metathesaurus license and creating a UTS account.
Explore terminologies hosted by NCI Enterprise Vocabulary Services (EVS), including NCI Thesaurus, ChEBI, GO, ICD-10-CM, and more.
Explore the NIH Guide for Grants and Contracts, which is the NIH's official publication of notices of grant policies, guidelines, and funding opportunities. Search across over 17,000 records to find your organization's next opportunity.
View this NIH policy outlining data submission requirements, data management best practices, and expectations for sharing NIH-funded or conducted research.
Browse this literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus.
Browse NIH COVID-19 resources, including datasets, tools, and publications.
Browse NIH COVID-19 Youtube resources.