NEI Research Grant for Vision-Related Secondary Data Analysis (R21 Clinical Trial Not Allowed)
This grant funds vision-related research projects using secondary data analyses from existing databases, aiming to enhance statistical methodology for vision health data analysis.
Funder: National Institutes of Health
Due Dates: June 16, 2025 (New) | July 16, 2025 (Renewal/Resubmission/Revision) | September 7, 2025 (AIDS) | October 16, 2025 (New) | November 16, 2025 (Renewal/Resubmission/Revision) | January 7, 2026 (AIDS) | Additional standard NIH dates through October 2027
Funding Amounts: Up to $275,000 direct costs over 2 years; no more than $200,000 in any single year; project period max 2 years.
Summary: Supports vision-related research using secondary analysis of existing human data; no new data collection or clinical trials allowed.
Key Information: Applications proposing new data collection, animal data analysis, or clinical trials are not allowed; data must be in analyzable format at submission.
Description
This opportunity from the National Eye Institute (NEI) at NIH funds exploratory/developmental research (R21 mechanism) focused on secondary analysis of existing human data relevant to vision and eye health. The program aims to leverage existing clinical, epidemiological, and healthcare datasets—including electronic health records, registries, claims data, and patient-reported outcomes—to address new research questions, develop or validate analytical methods, or improve statistical methodology for vision research. No new data collection or clinical trials are permitted under this funding announcement.
Projects may include, but are not limited to:
- Investigating associations between risk factors and vision outcomes
- Developing or validating screening algorithms
- Studying disease etiology, detection, diagnosis, treatment, progression, or prevention
- Addressing health disparities in vision
- Identifying novel exposures or outcomes
- Translating research findings into practice
- Developing and validating new statistical or computational methods
Applicants are encouraged to use standardized data and imaging formats and to align with NEI’s strategic priorities.
