Simpler Grants.gov #IR-ORI-26-001

Grant for Empirical Research on Factors Affecting Research Integrity

This opportunity is a research grant from the Office of Research Integrity under the U.S. Department of Health and Human Services, focused on promoting research integrity in biomedical and behavioral research. - Government Buyer: - U.S. Department of Health and Human Services - Office of the Assistant Secretary for Health - Office of Research Integrity (ORI) - Grants and Acquisitions Management Division - No OEMs or commercial vendors are specified, as this is a grant for research services. - Products/Services Requested: - Empirical research projects investigating factors that affect research integrity and misconduct in Public Health Service-funded research - Key research areas include: - Societal, organizational, behavioral, group, and individual influences on research integrity - Financial, cultural, institutional, and individual drivers of misconduct - Effectiveness of policies and training programs - Reporting and response mechanisms for research misconduct - The role of artificial intelligence as a risk or driver for research integrity - Administrative burden in research integrity systems - Notable Requirements: - Projects must comply with 42 C.F.R. part 93 (federal research misconduct regulations) - Eligible applicants include public and nonprofit universities, hospitals, governments, nonprofits, and small businesses - Two awards are anticipated, each ranging from $150,000 to $250,000, for a 12-month period - Applications must address empirical research and demonstrate relevance to research integrity in PHS-funded research

Description

The Office of Research Integrity seeks applications to conduct empirical research on societal, organizational, behavioral, group, and individual factors that affect integrity in research. The focus is on identifying root causes of research misconduct and factors driving research integrity in compliance with 42 C.F.R. part 93. Projects may explore financial, cultural, institutional, and individual factors; assess policies and training effectiveness; investigate reporting and response mechanisms; and examine the role of artificial intelligence as a driver or risk factor for research integrity. The program anticipates funding two awards ranging from $150,000 to $250,000 each for a 12-month period.

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