Internal Deadline: Contact ORIF.
LOI: May 1, 2022
External Deadline: May 31, 2022
Award Type: Cooperative Agreement
Estimated Number of Awards: 1
Anticipated Award Amount: $3,000,000
Who May Serve as PI: Standard NIH requirements.
Process for Limited Submissions
PIs must submit their application as a Limited Submission through the Office of Research Application Portal: https://orif.usc.edu/oor-portal/.
Materials to submit include:
- (1) Single Page Proposal Summary (0.5” margins; single-spaced; font type: Arial, Helvetica, or Georgia typeface; font size: 11 pt). Page limit includes references and illustrations. Pages that exceed the 1-page limit will be excluded from review.
- (2) CV – (5 pages maximum)
Note: The portal requires information about the PIs and Co-PIs in addition to department and contact information, including the 10-digit USC ID#, Gender, and Ethnicity. Please have this material prepared before beginning this application.
The National Institutes of Health (NIH) Office of the Director intends to support a Rapid Acceleration of Diagnostics (RADx®) Tribal Data Repository (RADx TDR) in response to the declared public health emergency issued by the Secretary, HHS, for 2019 Novel Coronavirus (COVID-19). This emergency cooperative agreement FOA provides an expedited funding mechanism as part of the Rapid Acceleration of Diagnostics (RADx®) initiative to accelerate innovation in the development, commercialization, and implementation of technologies for COVID-19 testing. This FOA seeks to fund a single RADx Tribal Data Repository (RADx TDR). The RADx TDR is intended to be an independent research data repository governed under the principles and practices of tribal sovereignty. The RADx TDR will provide responsible data sharing and access to researchers and their collaborators who are generating or interested in working with RADx American Indian and Alaska Native (AI/AN) research data.
American Indian and Alaska Native (AI/AN) communities across the nation are disproportionately impacted by the COVID-19 pandemic. To address the disparities recognized in these communities, the NIH has focused on supporting research projects that can increase our overall understanding of COVID-19 and its effects on AI/AN communities. In response to the May 2020 Tribal Consultation for COVID-19 Research[https://dpcpsi.nih.gov/thro/tribal-consultations/covid-19]. NIH incorporated Tribal input into the design of the Rapid Acceleration of Diagnostics (RADx®) Initiative[https://www.nih.gov/research-training/medical-research-initiatives/radx] envisioned to accelerate the development, commercialization, and implementation of COVID-19 testing. Specifically, the RADx-Underserved Populations (RADx-UP)[https://radx-up.org] program focuses on understanding of COVID-19’s effect on communities who are experiencing health disparities and supporting research and approaches to improve health outcomes and reduce disparities. To provide curated and de-identified COVID-19 data for the RADx Initiative, the RADx Data Hub allows researchers to find, aggregate, and perform data analysis within an NIH Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) cloud-enabled platform[https://datascience.nih.gov/strides]. The NIH RADx Data Hub works with RADx projects through the funded Coordination and Data Collection Center (CDCC) and the Data Collection Centers (DCC) to provide a data portal for researchers to find curated and de-identified data from additional NIH-supported COVID resources to integrate with related data from publicly available biomedical databases.
In funding the RADx Initiative and the resource to make RADx data available to the research community, the NIH believes that the RADx Data Hub does not meet the cultural, governance, sovereignty needs, or expectations to support and share de-identified AI/AN RADx research data.
To address this recognized challenge, the NIH envisaged the RADx Tribal Data Repository (RADx TDR), with input from Tribal Consultation, to further facilitate AI/AN participation in the RADx initiative.It is anticipated that data produced from this initiative will be provided back to the Tribes to contribute to their knowledge of COVID-19 and making health decisions for their communities.
The RADx TDR is intended to be an independent research data repository governed under principles and practices of tribal sovereignty for data sharing that will provide responsible data sharing and access to researchers and their collaborators who are generating or interested in working with RADx AI/AN research data. The RADx initiative and the RADx Tribal Data Repository are independent from, and not associated with, other NIH projects, such as the All of Us Program or the National COVID Cohort Collaborative (N3C). The RADx TDR will collaborate with the RADx-UP Coordination and Data Collection Center (RADx-UP CDCC) [https://radx-up.org] and other data collection centers (DCC) funded through the RADx initiative. The RADx TDR will support and promote AI/AN researchers and other scientists working with AI/AN communities; help contribute toward a better understanding of COVID-19 impact; and provide data to allow for data informed decisions and policy development in addressing the COVID-19 pandemic and potential future pandemics.The RADx-UP projects are implementing community engaged interventions and there will be no biospecimens stored within the RADx TDR.
Visit our Institutionally Limited Submission webpage for more updates and other announcements