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RADx

NIH has released a NOSI, [NOT-OD-24-026](https://grants.nih.gov/grants/guide/notice-files/NOT-OD-24-026.html), to extend the expiration date for [NOT-OD-23-040](https://grants.nih.gov/grants/guide/notice-files/NOT-OD-23-040.html) to July 16, 2024.

NIH releases NOT-OD-24-026

NIH has released a Notice of Change ([NOT-OD-23-130](https://grants.nih.gov/grants/guide/notice-files/NOT-OD-23-130.html)) to extend the expiration date for [NOT-OD-23-040](https://grants.nih.gov/grants/guide/notice-files/NOT-OD-23-040.html) to January 5, 2024. 

NIH releases Notice of Change NOT-OD-23-130

On December 19, 2022 NIH released two new Notice of Special Interests (NOSIs), described below. Both support scientific inquiry using existing data resources in the RADx Data Hub. 

[NOT-OD-23-040: Notice of Special Interest (NOSI): Advance Data Science Approaches Through Secondary Data Analysis to Reveal Scientific Insights of COVID-19 Testing Technologies (R21) (nih.gov)](https://grants.nih.gov/grants/guide/notice-files/NOT-OD-23-040.html)

-&nbsp;As stated in the NOT, the purpose of this Notice of Special Interest (NOSI) is to support secondary data analysis to address questions and advance scientific inquiry related to SARS-CoV-2 through the existing data resources in the Rapid Acceleration of Diagnostics Data Hub ([RADx Data Hub](https://radx-hub.nih.gov/)), including and in conjunction with other data resources.

[NOT-OD-23-041: Notice of Special Interest (NOSI): Research Supplements to Promote Data Science Workforce Diversity to Reveal Scientific Insights of COVID-19 Testing Technologies (Admin Supp Clinical Trial Not Allowed) (nih.gov)](https://grants.nih.gov/grants/guide/notice-files/NOT-OD-23-041.html)

-&nbsp;As stated in the NOT, the purpose of this Notice of Special Interest (NOSI) is to enhance the diversity of the data science workforce to address questions and scientific inquiry related to SARS-CoV-2 through existing data resources in the Rapid Acceleration of Diagnostics Data Hub ([RADx Data Hub](https://radx-hub.nih.gov/)), including and in conjunction with other data resources.


New Notice of Special Interest NOT-OD-23-040 and NOT-OD-23-041 Support Secondary Analysis Using the RADx Data Hub

The National Institutes of Health (NIH) Rapid Acceleration of Diagnostics Data Hub (RADx® Data Hub) announces today that its cloud-enabled platform is now open to researchers. The [RADx Data Hub](https://radx-hub.nih.gov/) represents one of the largest collections of NIH COVID data available to researchers that allows researchers to explore, access, and analyze COVID-related data developed through [NIH RADx program initiatives](https://www.nih.gov/research-training/medical-research-initiatives/radx/radx-programs).


The RADx Data Hub offers the opportunity for unprecedented access to COVID-19 data for researchers to conduct secondary data analyses, forge new collaborations, and build a community to accelerate scientific research and innovations.  

The RADx Data Hub provides access to RADx data from studies in progress and from complete RADx studies. Unique to this program, RADx projects have common harmonized demographic and COVID-related data to facilitate robust, cross-study analyses of data from different projects. Researchers can use data in the RADx Data Hub to conduct secondary analyses and address issues related to the difficulties with the detection and prevention of community spread for COVID-19 and potential future pandemics.   


The RADx Data Hub will allow researchers to search over 120 RADx studies, use the dbGaP data request system to access those studies, and analyze their data by download or in the cloud. The RADx Data Hub will also be adding studies and expanding features to support additional data analysis capabilities in the cloud.   


All are welcome to tour the RADx Data Hub in January. 


**Interested in accessing the RADx Data Hub and the community? Follow the steps below:**


1.&nbsp;[Join the Community](https://renci.us9.list-manage.com/subscribe?u=3e219c8086d717dd424115179&id=60c2e3dff2) to stay in touch and learn about launch events in January. 


2.&nbsp;Start using the RADx Data Hub: 


- a. Have both an [eRA Commons ID](https://public.era.nih.gov/commonsplus/public/login.era?TARGET=https%3A%2F%2Fpublic.era.nih.gov%3A443%2Fcommonsplus) with Prinicipal Investigator/Program Director status for data access AND a [Google Identity](https://accounts.google.com/signup/v2/webcreateaccount?flowName=GlifWebSignIn&flowEntry=SignUp) to use cloud-based workspaces and Jupyter notebooks for analysis. Note that your Google identity must use the same email as the email associated with your eRA Commons ID. Researchers can create a Google Identity associated with their eRA Commons email using the [Google Account signup page](https://accounts.google.com/signup). 


- b. [Log in to the RADx Data Hub](https://radx-hub.nih.gov/login). To request access to data, you must log in with your eRA Commons ID with PI/PD status. To browse the data, you may log in with a login.gov account associated with any email address.  


- c. Explore and analyze over 120 studies. [Reach out to the RADx Data Hub team](https://docs.google.com/forms/d/e/1FAIpQLSfbMkdLCltqcplfj_CmlGJeoZu5LnXAbRwAbBkJKmr9toQ5JQ/viewform) with any questions along the way. 

RADx Data Hub opens doors to all researchers 

The FDA has published a safety communication regarding [At-Home COVID-19 Antigen Tests](https://www.fda.gov/medical-devices/safety-communications/home-covid-19-antigen-tests-take-steps-reduce-your-risk-false-negative-fda-safety-communication). In support of this notice, a [preprint](https://www.medrxiv.org/content/10.1101/2022.08.05.22278466v1), _Performance of Screening for SARS-CoV-2 using Rapid Antigen Tests to Detect Incidence of Symptomatic and Asymptomatic SARS-CoV-2 Infection: findings from the Test Us at Home prospective cohort study_ and a [limited open source data set](https://github.com/soni-lab/Test_Us_At_Home) are now available. The availability of the full study data set, “Rapid Acceleration of Diagnostics - TECH (RADx-TECH): COVID-19 Test At Home Efficacy Sub-Study, phs003026.v1” in the RADx Data Hub is forthcoming.