NIJ FY 2026 State and Local Collection and Reporting of Crime Data
This program funds rigorous research on how state and local jurisdictions collect and report crime data, with an emphasis on data accuracy, fidelity, and scalable best practices.
⚑ Eligibility is limited to other units of local government; public universities cannot apply directly. · Cooperative agreement; substantial sponsor involvement may be expected.
Unit fits — one characterization, each unit's own rules
| IPPRA | 15 none | university cannot apply directly (ineligible) |
| Physical Sciences & Engineering (demo) | 15 none | university cannot apply directly (ineligible) |
| Tom Love Innovation Hub | 10 none | deep-tech content; no commercialization signal |
Description
This is a notice of funding opportunity (NOFO) for the NIJ FY 2026 State and Local Collection and Reporting of Crime Data program. This opportunity seeks proposals for rigorous research that examines the accuracy of crime data collection and reporting practices across state and local jurisdictions. The goal is to identify common challenges and develop scalable and widely adoptable best practices to improve data quality and integrity. Of particular interest are studies that examine how agencies collect information regarding offenses to ensure fidelity between reported data and actual events and to strengthen broader data governance practices.
Eligibility
Other units of local government
Apply
View on Grants.gov → CONTACT: National Institute of Justice <OJP.ResponseCenter@usdoj.gov>
Proposal brief SEE AN EXAMPLE →
A one-page internal memo: fit assessment, submission requirements, document scaffold, and next steps dated back from the deadline — tailored to your project idea if you add one.
Proposal shell · Federal (generic) conventions SEE A FEDERAL EXAMPLE →
Funder-faithful document skeletons — Federal (generic)'s document set with section headings, page limits, reviewer guidance, and writing prompts; add a project idea to get [DRAFT] starter bullets. Download as .md for Word or Overleaf.