EXPIRED
December 19, 2022
PA-21-071 - Research Supplements to Promote Diversity in Health-Related Research (Admin Supp – Clinical Trial Not Allowed)
RFA-OD-20-014 - RADx-Rad (U01 Clinical Trial Optional)
RFA-OD-21-008 - RADx-UP Phase II (U01 Clinical Trial Optional)
RFA-OD-21-009 - RADx-UP – Social, Ethical, and Behavioral Implications (SEBI) Research on Disparities in COVID-19 Testing among Underserved and Vulnerable Populations (U01 Clinical Trials Optional)
Office of Data Science Strategy (ODSS)
National Institute on Aging (NIA)
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
National Institute of Dental and Craniofacial Research (NIDCR)
National Institute on Drug Abuse (NIDA)
National Institute of Mental Health (NIMH)
National Institute of Nursing Research (NINR)
National Institute on Minority Health and Health Disparities (NIMHD)
National Library of Medicine (NLM)
The purpose of this Notice of Special Interest (NOSI) is to enhance the diversityof 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), including and in conjunction with other data resources.
Background
The Rapid Acceleration of Diagnostics (RADx) Initiative is driving some of the nation’s most creative biomedical innovation by rapidly developing multiple approaches to COVID-19 testing technologies to address national demands, with a focus on strategies for making testing broadly available. The RADx Data Hub is a centralized data repository for researchers to access datasets and analytic tools specific to the RADx program components: RADx-Tech and RADx Advanced Technology Platforms (RADx Tech/ATP), RADx Radical (RADx-rad), RADx Underserved Populations (RADx-UP), and Digital Health Solutions (DHS). The RADx-Tech aims to speed the development, validation, and commercialization of innovative point-of-care and home-based tests, as well as improve clinical laboratory tests, that can directly detect virus. The RADx-rad targets innovative settings or non-traditional technologies to evaluate the usability, accessibility, robustness, or accuracy of the detection of COVID-19 infections. The RADx-UP aims to examine infection patterns and efforts for increasing access to and effectiveness of testing methods through engagement with diverse communities and populations. The DHS aims to facilitate approaches that leverage multiple data sources, privacy-preserving technologies, and computational tools for managing population health and individuals’ lives during the COVID-19 pandemic.
Research Objective
The research objective of this NOSI is to stimulate development of data science approaches for the RADx programs to catalyze the scientific value and reveal scientific insights. This NOSI aims to support Administrative Supplements to the exisiting RADx parent awards to promote the data science workforce in biomedical research.
This Supplement may be used to support a variety of topic areas, examples of topic areas include, but are not limited to:
Award Budget
Application budget needs to reflect the actual needs of the proposed project. One-time supplement budget requests may not exceed $150,000 direct costs. The administrative supplement budget request is limited to 1 year. Budgets may not exceed the total direct costs of the current parent award. The number of awards is contingent upon availability of National Institutes of Health (NIH) Office of Data Science Strategy (ODSS) funds and the submission of meritorious applications.
Award Project Period
To be eligible, the existing parent award must be able to receive funds in FY2023 (October 1, 2022 to September 30, 2023), and not be in a no-cost extension period at the time of the parent award. The Supplement may not extend beyond the project period of the existing parent award
Eligibility
This announcement is for supplements to existing RADx parent projects. A broad range of projects that have significant data science components are eligible. Proposed projects must be within the scope of the parent awards. Only one independent research project request per PD/PI will be considered.
Applications that are not appropriate and out of scope for this NOSI include:
Administrative Review Process
Administrative Supplements do not receive peer review. Each NIH Institute, Center, or Office (ICO) will conduct administrative reviews of applications submitted to their ICO separately. Submitted applications must follow the guidelines of the ICO that funds the parent grants. The ICOs of the parent grants will assess for responsivensss and itentify the most meritorious applications submitted for funding consideration. The NIH/ODSS will determine and support the most meritorious applications based upon availability of funds.
Application and Submission Information
Applications for this initiative must be submitted using the following opportunity or its subsequent reissued equivalent.
All instructions in the SF424 (R&R) Application Guide and PA-21-071 must be followed, with the following additions:
Applications nonresponsive to terms of this NOSI will not be considered.
Scientific/Research Contacts
Partha Bhattacharyya, Ph.D.
National Institute on Aging (NIA)
Phone: (301) 496-3131
E-mail: [email protected]
Rebecca F. Rosen, Ph.D.
Eunice Kennedy ShriverNational Institute of Child Health and Human Development (NICHD)
Email: [email protected]
Anissa F Brown, Ph.D.
National Institute of Dental & Craniofacial Research (NIDCR)
Email: [email protected]
Susan Nicole Wright, Ph.D.
National Institute on Drug Abuse (NIDA)
Phone: 301-402-6683
E-mail: [email protected]
Lori A.J. Scott-Sheldon, Ph.D.
National Institute of Mental Health (NIMH)
Telephone: 301-792-2309
E-mail: [email protected]
Sung Sug (Sarah) Yoon, RN, PhD
National Institute of Nursing Research (NINR)
Telephone: 301-402-6959
Email: [email protected]
Nancy L. Jones, Ph.D.
National Institute on Minority Health and Health Disparities (NIMHD)
Phone: 301-594-8945
E-mail: [email protected]
Yanli Wang, Ph.D.
National Library of Medicine (NLM)
Phone: 301-827-7092
E-mail: [email protected]
Lucy Hsu, M.P.H.
Office of Data Science Strategy (ODSS)
E-mail: [email protected]