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Objective: Analyze responses to a national request for information (RFI) to uncover gaps in policy, practice, and understanding of veteran suicide to inform federal research strategy. Data source: An RFI with 21 open-ended questions generated from Presidential Executive Order #1386, administered nationally from July 3 to August 5, 2019. Study design: Semi-structured, open-ended responses analyzed using a collaborative qualitative and text-mining data process. Data extraction methods: We aligned traditional qualitative methods with natural language processing (NLP) text-mining techniques to analyze 9040 open-ended question responses from 722 respondents to provide results within 3 months. Narrative inquiry and the medical explanatory model guided the data extraction and analytic process. Results: Five major themes were identified: risk factors, risk assessment, prevention and intervention, barriers to care, and data/research. Individuals and organizations mentioned different concepts within the same themes. In responses about risk factors, individuals frequently mentioned generic terms like 'illness' while organizations mentioned specific terms like 'traumatic brain injury.' Organizations and individuals described unique barriers to care and emphasized ways to integrate data and research to improve points of care. Organizations often identified lack of funding as barriers while individuals often identified key moments for prevention such as military transitions and ensuring care providers have military cultural understanding. Conclusions: This study provides an example of a rapid, adaptive analysis of a large body of qualitative, public response data about veteran suicide to support a federal strategy for an important public health topic. Combining qualitative and text-mining methods allowed a representation of voices and perspectives including the lived experiences of individuals who described stories of military transition, treatments that worked or did not, and the perspective of organizations treating veterans for suicide. The results supported the development of a national strategy to reduce suicide risks for veterans as well as civilians. KEYWORDS health policy/politics/law/regulation, mental health, natural language processing, qualitative research, veterans What is known on this topic * Suicide is a leading cause of death in the United States, and veterans are at high risk for suicide. * Veterans not receiving care within the veteran affairs (VA) health care system are at a higher risk of suicide than the general population. * Veterans have unique risk factors for suicide including combat exposure and deployment conditions that can exacerbate physical and mental stress. What this study adds * Findings from the analyses identified risk factors, assessments, and prevention strategies that are currently known, but also identified unique barriers to care, and ways in which data and research could be better aligned to improve outcomes. * Specifically, veterans need a greater connection to the community from the point of military service transition, and health care professionals who understand and/or have experience with military culture. * The findings emphasize that metrics for evidence-based risk prevention and treatment methods need to incorporate veteran perspectives to ensure suicide prevention efforts address veteran needs and concerns., 1 | INTRODUCTION The objective of this study was to analyze a large body of text responses collected as a federal request for information (RFI) to uncover gaps in policy [...]