Opportunity Information: Apply for PA 11 308
Apply for PA 11 308
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "Secondary Analysis of Existing Alcohol Epidemiology Data (R01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.273 Alcohol Research Programs.
- This funding opportunity was created on Aug 12, 2011 and posted on Aug 12, 2011.
- Applicants must submit their applications by Sep 7, 2014. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Eligible applicants include: Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education State governments City or township governments Public housing authorities/Indian housing authorities Independent school districts County governments Native American tribal governments (Federally recognized) Small businesses Public and State controlled institutions of higher education For profit organizations other than small businesses Special district governments Native American tribal organizations (other than Federally recognized tribal governments) Private institutions of higher education Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Others (see text field entitled Additional Information on Eligibility for clarification).
- Other Eligible Applicants include the following Alaska Native and Native Hawaiian Serving Institutions Eligible Agencies of the Federal Government Faith based or Community based Organizations Hispanic serving Institutions Historically Black Colleges and Universities (HBCUs) Indian/Native American Tribal Governments (Other than Federally Recognized) Regional Organizations Tribally Controlled Colleges and Universities (TCCUs) U.S. Territory or Possession Non domestic (non U.S.) Entities (Foreign Institutions) are eligible to apply. Non domestic (non U.S.) components of U.S. Organizations are eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are allowed.
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Opportunity Summary:
The Secondary Analysis of Existing Alcohol Epidemiology Data (R01) opportunity (Funding Opportunity Number PA-11-308) was a discretionary NIH grant program run through the National Institute on Alcohol Abuse and Alcoholism (NIAAA). Its main purpose was to support R01 research projects that do not involve collecting new primary data, but instead use secondary analysis of existing datasets to improve what is known about alcohol use patterns and the epidemiology of alcohol-related problems. In practical terms, the FOA was aimed at researchers who can generate new findings by reanalyzing established survey, cohort, administrative, clinical, or other epidemiologic data sources that already exist, rather than building a new data collection effort from scratch.
The scientific emphasis of the announcement centered on strengthening understanding of how alcohol is consumed across populations and how alcohol-related harms and disorders are distributed, patterned, and influenced by risk and protective factors. The idea behind the FOA was that large, well-designed datasets often contain untapped value: they can be mined for new questions, tested with updated statistical methods, linked to other sources, or used to examine subgroups, trends, and mechanisms that were not fully addressed in original analyses. Projects supported under this FOA would typically be expected to make a clear case that the proposed secondary analyses are innovative, methodologically sound, and capable of producing meaningful public health insights about alcohol use and alcohol-related outcomes.
This was an R01 Research Project Grant mechanism, meaning it was intended for substantial, hypothesis-driven research efforts with well-developed aims, analytic plans, and a strong rationale for why the existing data source is appropriate for the questions being asked. While the summary does not list budget caps or project periods, R01 awards generally support multi-year projects and require a rigorous approach to design, analysis, and interpretation, including attention to issues common in secondary analysis such as measurement limitations, missing data, weighting and complex survey design (when relevant), confounding, temporal ordering, and reproducibility. Applicants would also be expected to show that they have legitimate access to the dataset(s) and that any human subjects protections, privacy, and data use agreements are addressed appropriately, especially when working with restricted-use or sensitive health data.
Eligibility for this FOA was broad and included many types of domestic U.S. organizations and governments, such as public and private institutions of higher education, nonprofit organizations (including those with and without 501(c)(3) status), for-profit entities (including small businesses), and a wide range of governmental bodies (state, county, city/township, special district governments, independent school districts, and public/Indian housing authorities). It also explicitly included Native American tribal governments (federally recognized) and tribal organizations (other than federally recognized governments), as well as a range of mission-focused institutions and organizations such as Historically Black Colleges and Universities (HBCUs), Hispanic-serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, faith-based or community-based organizations, regional organizations, and U.S. territories or possessions. Importantly, foreign institutions were eligible to apply, non-U.S. components of U.S. organizations were eligible, and foreign components were allowed as defined in the NIH Grants Policy Statement, reflecting NIH and NIAAA interest in alcohol epidemiology questions that can be informed by international data or collaborations. The FOA indicated that there was no cost-sharing or matching requirement.
From an administrative standpoint, the opportunity fell under CFDA number 93.273 (Alcohol Research Programs). It was posted on August 12, 2011, with an original closing date of September 7, 2014, and a final/current closing date also listed as September 7, 2014. The archive date was October 8, 2014, meaning the announcement is no longer active for new submissions under that specific FOA, though similar NIH/NIAAA opportunities may exist under updated announcements. The full announcement was hosted by NIH at the provided link (http://grants.nih.gov/grants/guide/pa-files/PA-11-308.html). For technical issues accessing the announcement or problems with links, the contact listed was the NIH Office of Extramural Research (OER) Webmaster at FBOWebmaster@OD.NIH.GOV.
Overall, PA-11-308 was designed to leverage existing alcohol epidemiology data resources to produce new, policy- and practice-relevant evidence about alcohol consumption patterns and alcohol-related problems, using the standard NIH R01 framework and welcoming applications from a wide range of academic, nonprofit, governmental, community-based, and international entities.
FAQs: Secondary Analysis of Existing Alcohol Epidemiology Data (R01) - PA-11-308
What is PA-11-308?
PA-11-308 is the NIH Funding Opportunity Announcement (FOA) titled "Secondary Analysis of Existing Alcohol Epidemiology Data (R01)." It was a discretionary grant opportunity run through the National Institute on Alcohol Abuse and Alcoholism (NIAAA).
What is the main goal of this funding opportunity?
The goal was to support R01 research projects that use secondary analysis of existing datasets to improve what is known about alcohol use patterns and the epidemiology of alcohol-related problems, without collecting new primary data.
What grant mechanism does this FOA use?
This FOA used the NIH R01 Research Project Grant mechanism, intended for substantial, hypothesis-driven research with well-developed aims and a rigorous analytic plan.
Does this FOA support collecting new data?
No. The focus was on secondary analysis, meaning the work should rely on datasets that already exist rather than building a new data collection effort.
What kinds of datasets were considered relevant for this FOA?
The FOA referenced established survey, cohort, administrative, clinical, and other epidemiologic data sources. The emphasis was on using existing epidemiology data to generate new findings related to alcohol use and alcohol-related outcomes.
What types of research questions were emphasized?
The scientific emphasis was on strengthening understanding of how alcohol is consumed across populations and how alcohol-related harms and disorders are distributed and influenced by risk and protective factors.
What made a proposed secondary analysis appropriate for this FOA?
Projects were generally expected to show that the proposed analyses were innovative, methodologically sound, and capable of producing meaningful public health insights. Applicants also needed to justify why the chosen existing dataset(s) fit the research questions.
What kinds of secondary analysis approaches did the FOA encourage?
The FOA highlighted the idea that large datasets can be mined for new questions, analyzed with updated statistical methods, linked to other sources, or used to examine subgroups, trends, and mechanisms not fully addressed in the original analyses.
What methodological issues are important in secondary analysis under this FOA?
The FOA noted common issues in secondary analysis, including measurement limitations, missing data, weighting and complex survey design (when relevant), confounding, temporal ordering, and reproducibility.
Was there a requirement to demonstrate access to the dataset(s)?
Yes. Applicants were expected to show legitimate access to the dataset(s), including handling any restricted-use conditions where applicable.
Were human subjects and privacy considerations part of the expectations?
Yes. The FOA emphasized addressing human subjects protections, privacy, and data use agreements appropriately, especially when working with restricted-use or sensitive health data.
Who was eligible to apply?
Eligibility was broad and included many domestic U.S. organization types (higher education, nonprofits, for-profits including small businesses, and multiple types of governments), as well as tribal governments and tribal organizations. The FOA also explicitly welcomed a range of mission-focused institutions such as HBCUs, Hispanic-serving Institutions, TCCUs, Alaska Native and Native Hawaiian Serving Institutions, and faith-based or community-based organizations.
Were foreign institutions or international components allowed?
Yes. Foreign institutions were eligible to apply, non-U.S. components of U.S. organizations were eligible, and foreign components were allowed as defined in the NIH Grants Policy Statement.
Were U.S. territories or possessions included in the eligible applicant types?
Yes. The FOA included U.S. territories or possessions among the eligible entities.
Was cost-sharing or matching required?
No. The FOA stated that there was no cost-sharing or matching requirement.
What is the CFDA number associated with this program?
The opportunity fell under CFDA 93.273 (Alcohol Research Programs).
When was this FOA posted and when did it close?
It was posted on August 12, 2011. The original closing date was September 7, 2014, and the final/current closing date was also listed as September 7, 2014.
Is PA-11-308 still open for applications?
No. The archive date was October 8, 2014, which indicates the announcement is no longer active for new submissions under that specific FOA.
Where can the full FOA text be found?
The full announcement was hosted by NIH at: http://grants.nih.gov/grants/guide/pa-files/PA-11-308.html
Who was the listed contact for technical issues with the FOA webpage or links?
For technical problems accessing the announcement or issues with links, the contact listed was the NIH Office of Extramural Research (OER) Webmaster at FBOWebmaster@OD.NIH.GOV.
What was the overall intent of PA-11-308 in practical terms?
In practical terms, it aimed to fund researchers who could generate new, policy- and practice-relevant evidence by reanalyzing established alcohol epidemiology datasets rather than conducting new primary data collection.
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