DRR-AI helps education researchers and compliance officers audit manuscripts for IES, NCES, and ICPSR restricted-use data compliance — reducing errors before submission and helping to shorten administrative delays.
Audit My Manuscript (Secure & Private)Restricted-use data licenses unlock the most powerful insights in education research. They offer massive, nationally representative sample sizes and allow researchers to tackle complex questions that public-use data simply cannot answer. However, before sharing these findings with the public, researchers must obtain official Disclosure Risk Review (DRR) approval.
Unfortunately, many education researchers struggle to publish their work due to severely delayed DRR processes. Due to ongoing budget cuts at IES and the U.S. Department of Education, manual human reviews can now take several months to complete.
DRR-AI empowers researchers to self-check their manuscripts before submission, catching common errors early and making the human review process smoother and faster.
DRR-AI ensures compliance friction never delays or buries the unique findings that restricted-use data alone can provide.
DRR-AI is built to be a robust compliance tool, with the potential for adoption within IES, university IRBs, and other relevant data security institutions.
Catch common disclosure issues before submitting to official DRR channels, saving time and reducing re-submissions.
Streamlines and facilitates the internal DRR process, helping official reviewers work more efficiently.
Supports IES/NCES and ICPSR frameworks today. Custom models for university IRB and other review processes available on request.