Opportunity Information: Apply for RFA EY 11 001
Apply for RFA EY 11 001
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "NEI Genomic Research Grant on Integrative Data Analysis for Vision Research (R01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.867 Vision Research.
- This funding opportunity was created on Nov 24, 2010 and posted on Nov 24, 2010.
- Applicants must submit their applications by May 18, 2013. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Eligible applicants include: Public and State controlled institutions of higher education Private institutions of higher education 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 Others (see text field entitled Additional Information on Eligibility for clarification) State governments Small businesses.
- Other Eligible Applicants include the following Alaska Native and Native Hawaiian Serving Institutions Eligible Agencies of the Federal Government Hispanic serving Institutions Historically Black Colleges and Universities (HBCUs) Non domestic (non U.S.) Entities (Foreign Organizations) Tribally Controlled Colleges and Universities (TCCUs) .
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Opportunity Summary:
The NEI Genomic Research Grant on Integrative Data Analysis for Vision Research (R01) is a National Eye Institute (NEI) funding opportunity under the National Institutes of Health (NIH) designed to push vision research forward by getting more value out of large genetic and genomic data sets that already exist. The central goal is to support projects that perform integrative, in-depth analysis of previously generated large-scale, high-throughput data relevant to eye health, vision function, and eye disease. In addition to straight analysis, the announcement also emphasizes the development of new bioinformatics methods and computational tools that make it easier to interpret complex genomic information in ways that are meaningful for NEI mission areas.
A major theme of the opportunity is integration across data types, not just within a single genomic resource. Applicants are encouraged to combine multiple existing high-dimensional data sets, especially those produced using advanced genomic technologies, and where feasible to link genomic findings with other rich data modalities such as imaging. The intent is to enable more comprehensive discovery by looking across complementary data streams, for example connecting genetic variation or gene expression patterns with measurable ocular phenotypes that may be captured through sophisticated imaging or other high-content approaches. The FOA is explicitly oriented toward extracting biological insight, identifying mechanisms, and improving interpretation of complex molecular signals through computational innovation and thoughtful cross-dataset synthesis.
A key restriction is that the FOA does not support the collection of new data. Proposals must rely on existing data sets rather than generating additional genomic, genetic, or related high-throughput data. This means strong applications are expected to be built around accessible resources, well-justified choices of datasets, and rigorous plans for harmonization, quality control, statistical analysis, and interpretation. Projects that propose new algorithms, pipelines, or analytic frameworks are aligned with the stated priorities, particularly when those tools enable deeper integration, improve reproducibility, or make it possible to analyze data at a scale or complexity that conventional approaches cannot handle.
This opportunity uses the R01 grant mechanism and falls under the health funding activity category, with the associated CFDA number 93.867 for vision research. It is a discretionary grant program and does not require cost sharing or matching funds. The funding opportunity number is RFA-EY-11-001, and the posting and creation date are November 24, 2010. The original and current closing date listed is May 18, 2013, with an archive date of June 18, 2013, indicating it was time-limited and is now archived rather than open for new submissions under that specific announcement.
Eligibility is broad and includes public and state-controlled institutions of higher education, private institutions of higher education, nonprofit organizations with or without 501(c)(3) status (including those other than universities), state governments, and small businesses. The eligibility language also lists additional categories such as Alaska Native and Native Hawaiian Serving Institutions, Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), eligible federal agencies, and non-U.S. entities (foreign organizations). In practical terms, the announcement aimed to attract proposals from a wide range of research environments, including institutions with specialized computational expertise, strong genomics programs, or established vision research capacity.
For reference and full administrative details, the announcement links to the NIH Grants Guide page at http://grants.nih.gov/grants/guide/rfa-files/RFA-EY-11-001.html. For technical issues accessing or linking to the announcement, the listed contact is the NIH Office of Extramural Research (OER) Webmaster at FBOWebmaster@OD.NIH.GOV.
Frequently Asked Questions (FAQs)
What is the NEI Genomic Research Grant on Integrative Data Analysis for Vision Research (R01)?
It is a National Eye Institute (NEI) funding opportunity under the National Institutes of Health (NIH) that supports integrative, in-depth analysis of existing large-scale genetic and genomic datasets relevant to eye health, vision function, and eye disease, using the R01 grant mechanism.
What is the main goal of this funding opportunity?
The central goal is to push vision research forward by getting more value out of previously generated, large, high-throughput genetic and genomic datasets through rigorous integrative analysis and, where appropriate, computational innovation.
What kinds of projects does the FOA prioritize?
The announcement prioritizes projects that (1) perform integrative analysis of previously generated high-dimensional genomic/genetic data and (2) develop new bioinformatics methods and computational tools that improve interpretation of complex genomic information in ways that are meaningful for NEI mission areas.
Does the FOA encourage integrating different types of data?
Yes. A major theme is integration across data types, not just analysis within a single genomic resource. Applicants are encouraged to combine multiple existing high-dimensional datasets and, where feasible, link genomic findings with other rich data modalities such as imaging.
Can projects connect genomic signals to ocular phenotypes?
Yes. The intent includes enabling discovery by connecting complementary data streams, for example linking genetic variation or gene expression patterns to measurable ocular phenotypes captured through sophisticated imaging or other high-content approaches.
Is new data collection allowed under this opportunity?
No. A key restriction is that the FOA does not support the collection of new data. Proposals must rely on existing datasets rather than generating additional genomic, genetic, or related high-throughput data.
What does "existing data" mean in the context of this FOA?
It means the project should be built around previously generated large-scale, high-throughput datasets that are already available for analysis, rather than data that would be newly produced as part of the proposed work.
What should strong applications include if they are using existing datasets?
Based on the announcement, strong applications are expected to include well-justified choices of accessible datasets and rigorous plans for harmonization, quality control, statistical analysis, and interpretation.
Are method and tool development projects appropriate?
Yes. Projects proposing new algorithms, pipelines, or analytic frameworks are aligned with the stated priorities, especially when the tools enable deeper integration, improve reproducibility, or support analysis at a scale or complexity beyond conventional approaches.
What grant mechanism does this opportunity use?
This opportunity uses the NIH R01 research project grant mechanism.
What is the funding opportunity number for this announcement?
The funding opportunity number is RFA-EY-11-001.
What is the CFDA number associated with this opportunity?
The associated CFDA number is 93.867 (vision research).
Is cost sharing or matching required?
No. The program is described as a discretionary grant program and does not require cost sharing or matching funds.
When was this funding opportunity posted?
The posting and creation date listed is November 24, 2010.
What was the closing date for submissions under this FOA?
The original and current closing date listed is May 18, 2013.
Is this announcement still open for new submissions?
No. The archive date is June 18, 2013, indicating the announcement was time-limited and is now archived rather than open for new submissions under that specific FOA.
Who is eligible to apply?
Eligibility is broad and includes public and state-controlled institutions of higher education, private institutions of higher education, nonprofit organizations with or without 501(c)(3) status (including those other than universities), state governments, and small businesses.
Does the eligibility list include specific institution types such as MSIs and Tribal institutions?
Yes. The eligibility language lists categories including Alaska Native and Native Hawaiian Serving Institutions, Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), and Tribally Controlled Colleges and Universities (TCCUs).
Are federal agencies eligible to apply?
Yes. The eligibility language includes eligible federal agencies.
Are non-U.S. (foreign) organizations eligible?
Yes. The eligibility language includes non-U.S. entities (foreign organizations).
Where can applicants find the full official announcement and administrative details?
The announcement links to the NIH Grants Guide page at: http://grants.nih.gov/grants/guide/rfa-files/RFA-EY-11-001.html
Who should be contacted for technical issues accessing or linking to the announcement?
For technical issues, the listed contact is the NIH Office of Extramural Research (OER) Webmaster at FBOWebmaster@OD.NIH.GOV.
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