Regulatory Compliance
- Adherence to all provisions outlined in the NIH Grants Policy Statement is mandatory.
- Compliance with '2 CFR Part 200, Uniform Administrative Requirements, Cost Principles, and Audit Requirements for Federal Awards' is required.
- Awards are made under the authority of Sections 301 and 405 of the Public Health Service Act and Federal Regulations 42 CFR Part 52 and 2 CFR Part 200.
- Recipients must comply with all applicable nondiscrimination laws and submit an 'Assurance of Compliance' (HHS-690).
Data Protection and Sharing
- A 'Data Management and Sharing Plan' is required and must align with the 2023 NIH Policy for Data Management and Sharing.
- Research data generated under this grant must be shared via the 'National Institute of Mental Health Data Archive (NDA)'.
- Investigators are expected to utilize NDA's 'Global Unique Identifier (GUID)' and 'Data Dictionary' technologies for data submission.
- Informed consent processes for study participants should include provisions for data sharing.
- Investigators are responsible for certifying data quality and reviewing data for accuracy before and after submission to NDA.
- Descriptive/raw data are to be submitted semi-annually (January 15 and July 15); other data types at publication or grant conclusion, whichever occurs first.
Ethical and Human Subject Standards
- Applications must include 'PHS Human Subjects and Clinical Trials Information' that reflects NIH/NIMH policies on human research protection, data, and safety monitoring (NOT-MH-19-027).
- 'Institutional Review Board (IRB)' or 'Independent Ethics Committee (IEC)' approval is required for all human subject research protocols.
- All human biomedical and behavioral intervention studies (clinical trials) are subject to NIH policies on data and safety monitoring.
- Compliance with 'Investigational New Drug (IND)' or 'Investigational Device Exemption (IDE)' requirements is necessary for clinical research involving investigational products.
Risk Management and Security
- The NIH reviews an applicant's federal award history in SAM.gov to assess business practices, integrity, and performance.
- Mandatory disclosure of any information related to violations of federal criminal law involving fraud, bribery, or gratuity that could affect the federal award is required.
Special Considerations & Unique Aspects
- Exploratory/Developmental Focus: This R21 grant is specifically designed for 'exploratory/developmental research' and 'high risk/high reward projects' that may not have extensive preliminary data. The emphasis is on conceptual framework, innovation, and potential for significant impact.
- Interdisciplinary Collaboration: The NOFO actively encourages applications from interdisciplinary research teams, including fields such as neuroscience, engineering, gerontology, social work, pharmacology, psychiatry, and psychology.
- Lived Experience Inclusion: Teams that include or are led by individuals with lived experience of psychosis are highly encouraged to apply.
- Emphasis on Mechanisms: A core objective is to identify neurobiological, behavioral, psychosocial, and environmental mechanisms underlying the emergence, trajectory, and outcomes of schizophrenia and related psychotic disorders.
- Dimensional Approach: The grant encourages a 'Research Domain Criteria (RDoC)' approach, promoting a dimensional perspective on psychopathology rather than solely relying on traditional diagnostic categories.
- Inclusivity and Health Equity: Research focusing on minority health and NIH-designated populations experiencing health disparities is encouraged, particularly adopting an 'intersectionality framework' to address multiple dimensions of identity and social systems.
- Advanced Methodology Integration: Encourages the use of cutting-edge methodologies (e.g., very high field MR neuroimaging, novel recording devices), but explicitly states it 'does not support the stand-alone development of novel technology'. New methods should serve an underlying scientific question.
- Budgeting for Data Sharing: Applicants should specifically budget for the costs associated with data submission to the NDA, utilizing tools like the 'NDA Data Submission Cost Model'.