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: November 16, 2026 (Resubmission) | February 16, 2027 (New) | March 16, 2027 (Resubmission) | June 16, 2027 (New) | July 16, 2027 (Resubmission) | October 16, 2027 (New) | November 16, 2027 (Resubmission)
Funding Amounts: Up to $275,000 in direct costs over two years; maximum $200,000 in any year, plus applicable consortia F&A
Summary: Supports vision-related secondary analyses of existing human data, including hypothesis testing and development of statistical methodologies.
Key Information: Data must already be analyzable; new data collection, animal-data analyses, and clinical trials are not allowed.
The National Eye Institute (NEI), part of NIH, supports secondary analyses of existing human data through this R21 exploratory/developmental research opportunity. Projects may test hypotheses, develop statistical methods, or investigate new scientific ideas relevant to vision health. Eligible data sources include clinical trials, epidemiologic studies, electronic health records, administrative claims, surveys, registries, and patient-reported data from personal devices. Systematic reviews and meta-analyses using original patient-level data merged into one dataset are also supported.
The program seeks research addressing blindness and impaired vision, visual-system development and function, and rehabilitation and quality of life. Analyses must be distinct from the original data collection’s specific aims. NEI-funded datasets have the highest programmatic interest, but other datasets are eligible.