Secondary Analyses of Existing Alcohol Research Data (R03) | PA 17 468

Opportunity Information: Apply for PA 17 468

The Secondary Analyses of Existing Alcohol Research Data (R03) funding opportunity (PA 17-468) is a discretionary NIH grant program designed to support small, investigator-initiated projects that reanalyze data that already exist, rather than collecting new primary data. The central purpose is to deepen what is known about alcohol use and alcohol-related problems by applying new questions, updated methods, or novel analytic approaches to established datasets. The FOA emphasizes generating insights into patterns of alcohol consumption across populations and time, and improving understanding of alcohol-related harms and disorders through epidemiologic and etiologic research, including work that considers genetic and genomics dimensions of risk.

A major focus of the program is alcohol-related public health knowledge that can be extracted from currently available datasets, such as cohort studies, surveys, clinical or administrative datasets, or existing genetic/genomic resources, as long as the project is based on secondary analysis. The kinds of outcomes the FOA is aiming to strengthen include estimates and explanations of incidence and prevalence of alcohol problems and alcohol use disorders in the population, as well as clearer evidence on contributing causes and mechanisms (etiology). The program also highlights interest in identifying and quantifying risk factors and protective factors that shape who develops alcohol-related problems, under what conditions, and why. In practice, that can include analyses of social, behavioral, environmental, developmental, clinical, and biologic contributors, and how those factors interact.

Beyond producing substantive findings about alcohol use and consequences, the FOA signals interest in analytic work that pushes the field forward methodologically. Applications that employ techniques demonstrating methodological advances in alcohol epidemiology or genetics/genomics are considered responsive. That can mean improved modeling strategies, better handling of complex survey designs or longitudinal follow-up, approaches for causal inference with observational data, harmonization or integration of multiple datasets, advanced genetic association strategies, or other rigorous methods that improve interpretability, reproducibility, and generalizability of alcohol-related research findings when working with existing data resources.

This opportunity uses the NIH R03 mechanism, which is typically intended for smaller, shorter projects such as pilot studies, feasibility work, and discrete analytic aims that can be completed without the scale of an R01. The source information lists an award ceiling of $50,000, reinforcing that applicants should propose a focused scope that matches a modest budget and an efficient analysis plan. The activity category is Health, and the CFDA listing associated with the program is 93.273. The sponsoring agency is the National Institutes of Health.

Eligibility is broad and includes many types of institutions and organizations that can carry out secondary data analyses. Eligible applicants include state, county, city/township, and special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments; tribal organizations other than federally recognized tribal governments; public housing authorities and Indian housing authorities; nonprofit organizations with or without 501(c)(3) status (excluding institutions of higher education when specified); for-profit organizations other than small businesses; and small businesses, as well as other categories NIH may allow. The FOA also explicitly calls out additional eligible applicant types, including Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISI), Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), faith-based or community-based organizations, eligible federal agencies, regional organizations, U.S. territories or possessions, and even non-U.S. entities (foreign organizations), indicating an intent to support diverse institutions and potentially internationally relevant analyses when the data and aims are aligned.

Key administrative details from the provided record include an original closing date of 2020-09-07 and a creation date of 2017-08-23. Even if deadlines have passed for the specific posting, the summary of priorities remains useful for understanding what NIH sought to fund under this FOA: tightly scoped, high-value secondary analyses of existing alcohol research data that either answer important epidemiologic and etiologic questions about alcohol consumption and alcohol-related disorders, or that use advanced analytic methods (including genetics/genomics) to extract new, credible knowledge from established datasets.

• The National Institutes of Health in the health sector is offering a public funding opportunity titled "Secondary Analyses of Existing Alcohol Research Data (R03)" and is now available to receive applicants.
• Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.273.
• This funding opportunity was created on 2017-08-23.
• Applicants must submit their applications by 2020-09-07. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
• Each selected applicant is eligible to receive up to $50,000.00 in funding.
• Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.

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