Opportunity Information: Apply for PAR 16 168
Apply for PAR 16 168
- The HHS-NIH11 in the health sector is offering a public funding opportunity titled "NEI Research Grant for Vision Related Secondary Data Analysis (R21)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.867,.
- This funding opportunity was created on Apr 06, 2016 and posted on Apr 06, 2016.
- Applicants must submit their applications by May 07, 2019. (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 $200,000.00 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 (see text field entitled Additional Information on Eligibility for clarification).
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Opportunity Summary:
The NEI Research Grant for Vision Related Secondary Data Analysis (R21), Funding Opportunity Number PAR-16-168, is a discretionary NIH grant opportunity from the U.S. Department of Health and Human Services, National Institutes of Health (listed as HHS-NIH11), designed to support new research projects that analyze already-existing vision-related datasets. The central idea is to make productive, cost-effective use of data that were previously collected through clinical trials, large-scale epidemiologic studies, and other clinical research efforts, especially those supported by the National Eye Institute (NEI). Because these studies often generate large and richly detailed datasets, the program aims to fund investigators who can ask additional, scientifically valuable questions without having to create a new study from scratch.
A key requirement is that proposed analyses must be secondary in nature: they can be related to the original study, but they must be clearly distinct from the original aims that justified collecting the data in the first place. In other words, the application should not simply finish or extend the original project’s planned analyses; instead, it should leverage the existing data to pursue new hypotheses, explore additional outcomes, or apply novel analytical approaches that were not part of the initial study objectives. This emphasis allows the same dataset to generate further insights and maximize the public value of prior research investments.
The scope of supported work includes secondary analyses of data from vision-related clinical trials, epidemiologic studies, and other clinical research studies. The opportunity also explicitly allows projects focused on developing or applying new statistical methods using existing datasets, such as innovative modeling strategies, improved approaches for handling missing data, re-analysis using modern causal inference tools, or other methodological work that can strengthen how vision research data are interpreted. What the funding does not support is equally important: applicants may not use this FOA to collect new data. The grant is intended for analysis of existing databases and resources, not for new patient recruitment, new clinical measurements, or new fieldwork intended to expand the dataset.
In terms of who can apply, eligibility is broad and includes many types of U.S. organizations and governments. Eligible applicants include state, county, and city or township governments; 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 and other tribal organizations; public housing authorities/Indian housing authorities; nonprofit organizations with or without 501(c)(3) status (as long as they are not institutions of higher education in those categories); for-profit organizations other than small businesses; small businesses; and other entities as permitted under the announcement’s additional eligibility language. This wide eligibility is meant to encourage participation from diverse institutional settings that may have the expertise to conduct rigorous secondary data analysis.
The award mechanism is an R21, which is typically used by NIH to support exploratory or developmental research projects. The listed award ceiling is $200,000, indicating the maximum budget level referenced for this opportunity. The CFDA numbers associated with the opportunity include 93.867, reflecting its placement within federal health research assistance programs. The funding opportunity was posted and created on April 6, 2016, and the closing date shown is May 7, 2019, meaning this specific announcement reflects a defined submission window and may now be historical rather than currently open, depending on whether NIH has reissued or replaced it with a newer notice.
Overall, this grant opportunity is best suited for teams that already have access to appropriate vision-related datasets (or can appropriately obtain access), have a clear and novel research question that goes beyond the original study aims, and can demonstrate a strong analytical plan that generates new knowledge without any new data collection. It is essentially a pathway for extracting additional scientific value from existing clinical and population-based vision research data, whether through hypothesis-driven re-analysis, discovery-oriented exploration, or the introduction of improved statistical and computational methods.
FAQs: NEI Research Grant for Vision Related Secondary Data Analysis (R21) - PAR-16-168
What is the NEI Research Grant for Vision Related Secondary Data Analysis (R21) (PAR-16-168)?
PAR-16-168 is a discretionary NIH grant opportunity from the U.S. Department of Health and Human Services (HHS), National Institutes of Health (NIH), intended to support new research projects that analyze already-existing, vision-related datasets. The purpose is to generate additional scientific value from data previously collected in clinical trials, large-scale epidemiologic studies, and other clinical research efforts, especially those supported by the National Eye Institute (NEI).
What is the main goal of this funding opportunity?
The main goal is to enable productive, cost-effective research by using existing vision research data to answer additional scientifically valuable questions, without starting a new study or collecting new data. This approach helps maximize the public value of prior research investments.
What types of projects does this FOA support?
This funding opportunity supports secondary analyses of existing, vision-related datasets, including data from clinical trials, epidemiologic studies, and other clinical research studies. It also supports projects that develop or apply new statistical methods using existing datasets, such as innovative modeling strategies, improved approaches to handling missing data, and re-analysis using modern causal inference tools.
What does "secondary data analysis" mean under this opportunity?
Secondary data analysis means the project analyzes data that have already been collected, and the proposed analyses must be distinct from the original study aims that justified collecting the data. The work can be related to the original study, but it should not simply complete, finish, or extend the original project’s planned analyses.
Can the proposed analyses be related to the original study?
Yes. The proposed analyses may be related to the original study, but they must be clearly distinct from the original aims. The expectation is that investigators will leverage the dataset to pursue new hypotheses, evaluate additional outcomes, or apply novel analytical approaches that were not part of the initial objectives.
What kinds of datasets are appropriate for this grant?
Appropriate datasets include already-existing, vision-related data from clinical trials, large-scale epidemiologic studies, and other clinical research efforts. The program particularly emphasizes making productive use of the large, richly detailed datasets generated by such studies, especially those supported by NEI.
Does this funding opportunity allow new data collection?
No. Applicants may not use this funding opportunity to collect new data. The grant is intended for analysis of existing databases and resources, not for new patient recruitment, new clinical measurements, or new fieldwork intended to expand the dataset.
Can this grant be used to add participants, measurements, or follow-up to an existing study?
No. Activities that expand the dataset through new recruitment, new measurements, or new data gathering are not supported under this opportunity. The supported work is limited to analyzing data that already exist.
Are methodological or statistical tool-development projects allowed?
Yes. The opportunity explicitly allows projects focused on developing or applying new statistical methods using existing datasets. Examples mentioned include innovative modeling strategies, improved approaches for handling missing data, re-analysis using modern causal inference tools, and other methodological work to strengthen interpretation of vision research data.
What is the award mechanism for this opportunity?
The award mechanism is an NIH R21, which is typically used to support exploratory or developmental research projects.
What is the maximum budget level referenced for this opportunity?
The listed award ceiling is $200,000, indicating the maximum budget level referenced for this funding opportunity.
Who is the sponsoring agency?
The sponsoring agency is the U.S. Department of Health and Human Services (HHS), National Institutes of Health (NIH). The opportunity is associated with the National Eye Institute (NEI) and is listed as HHS-NIH11.
What is the Funding Opportunity Number (FOA number)?
The Funding Opportunity Number is PAR-16-168.
What CFDA number(s) are associated with this opportunity?
The opportunity lists CFDA number 93.867.
When was this funding opportunity posted and created?
The opportunity was posted and created on April 6, 2016.
What is the closing date shown for this opportunity?
The closing date shown is May 7, 2019.
Is this opportunity still open for applications?
The provided information shows a closing date of May 7, 2019. Based on that date, this specific announcement may be historical rather than currently open, depending on whether NIH has reissued or replaced it with a newer notice.
What types of organizations are eligible to apply?
Eligibility is broad and includes many types of U.S. organizations and governments. 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
- Private institutions of higher education
- Federally recognized Native American tribal governments and other tribal organizations
- Public housing authorities/Indian housing authorities
- Nonprofit organizations with or without 501(c)(3) status (as long as they are not institutions of higher education in those categories)
- For-profit organizations other than small businesses
- Small businesses
- Other entities as permitted under the announcement’s additional eligibility language
Why does the FOA emphasize being "clearly distinct" from the original study aims?
The emphasis is intended to ensure the project generates new knowledge beyond what was originally planned when the data were collected. Rather than completing the original study’s planned analyses, the FOA aims to support additional, scientifically valuable questions or novel analytic approaches that further extend the usefulness of the dataset.
What kinds of research questions are a good fit for this program?
The opportunity is best suited for projects that use existing vision-related datasets to pursue new hypotheses, explore additional outcomes, or apply novel analytical strategies that were not part of the original objectives, while demonstrating a rigorous analysis plan.
Do applicants need to already have access to the dataset?
The opportunity is described as being best suited for teams that already have access to appropriate vision-related datasets, or can appropriately obtain access, since the work must rely on existing data rather than new data collection.
What is the overall value proposition of this grant program?
The program is designed to extract additional scientific insight from large, richly detailed vision research datasets that already exist. By funding secondary analyses and modern methods on existing resources, it supports cost-effective research and maximizes the return on prior investments in clinical and population-based vision research.
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