Opportunity Information: Apply for RFA MH 18 400
Addressing Suicide Research Gaps: Aggregating and Mining Existing Data Sets for Secondary Analyses (R01) (Funding Opportunity Number: RFA-MH-18-400) is a National Institutes of Health grant opportunity designed to accelerate suicide prevention research by making better use of data that already exist. Instead of primarily funding new data collection, this announcement focuses on secondary analyses that combine, harmonize, and mine existing datasets from basic science, clinical studies, and intervention research on suicide risk and suicidal behaviors. It also explicitly welcomes the use of large-scale digital and administrative sources, including social media data and healthcare records, to uncover patterns and signals that may be difficult to detect in smaller, single-purpose studies. The core aim is to identify and test potential predictors and moderators of suicide risk, including biological factors, lived or experiential factors, and other multi-domain influences that help explain who is at risk, under what conditions, and why.
A central emphasis of the FOA is on integrative, modern analytic approaches that can handle complexity across multiple levels of analysis. Applicants are encouraged to use dimensional variables rather than only categorical groupings, meaning projects can look at suicide risk along continua (for example, severity, frequency, intensity, or trajectories over time) instead of treating outcomes as simple yes/no categories. The FOA also promotes work that spans multiple measurement levels, which can include combinations of biological signals, psychological processes, behavior, environment, and real-world context. In practice, this could mean linking clinical assessments with biomarkers, treatment response data, electronic health record indicators, or digital traces from online behavior, as long as the work is grounded in rigorous methods and aimed at producing genuinely new insights from previously collected information.
A secondary, but important, objective is to stimulate research that lays the groundwork for studies of suicide-related behaviors aligned with the Research Domain Criteria (RDoC) framework. That focus signals interest in projects that move beyond traditional diagnostic categories and instead examine fundamental domains of functioning that may contribute to suicide risk. The intention is that these projects generate foundational evidence, measures, and analytic strategies that help frame suicide-related behaviors in ways that can be tested across populations and contexts, ultimately supporting more precise and mechanistic prevention and intervention strategies.
The announcement is explicitly tied to national priorities, stating that funded projects should help address gaps described in the 2014 Prioritized Research Agenda for Suicide Prevention. In other words, the government is using this mechanism to push the field toward questions and methods that have been identified as high-impact needs, particularly where existing research data can be leveraged more efficiently than starting from scratch. This includes encouraging investigators to integrate multiple datasets for novel analyses, which can boost statistical power, improve generalizability, and enable the study of rare outcomes or subgroups that single studies often cannot address adequately.
From an administrative standpoint, this is an R01 research grant (Funding Instrument Type: Grant) in the health and education activity area, issued under NIH with CFDA listings that include 93.213, 93.242, 93.273, 93.279, and 93.399. The opportunity was created on 2017-05-15 and had an original closing date of 2017-11-02. The listed award ceiling is $300,000. The announcement indicates expected awards but does not provide a number in the provided source text.
Eligibility is broad and includes many organization types typically able to apply for NIH funding. Eligible applicants include state, county, and city or township governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments; Native American tribal organizations other than federally recognized tribal governments; public housing authorities and Indian housing authorities; nonprofits with and without 501(c)(3) status (excluding institutions of higher education in those categories); for-profit organizations other than small businesses; small businesses; and other entities. The FOA also highlights additional eligible applicant categories such as Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISIs), Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), faith-based or community-based organizations, eligible federal agencies, regional organizations, non-domestic (non-U.S.) entities (foreign organizations), Indian/Native American Tribal Governments other than federally recognized, and U.S. territories or possessions. Overall, the opportunity is aimed at enabling a wide range of research and community-relevant institutions to contribute to higher-impact suicide risk research by extracting new knowledge from existing data resources.Apply for RFA MH 18 400
- The National Institutes of Health in the education, health sector is offering a public funding opportunity titled "Addressing Suicide Research Gaps: Aggregating and Mining Existing Data Sets for Secondary Analyses (R01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.213, 93.242, 93.273, 93.279, 93.399.
- This funding opportunity was created on 2017-05-15.
- Applicants must submit their applications by 2017-11-02. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $300,000.00 in funding.
- Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.
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Frequently Asked Questions (FAQs)
What is the name of this grant opportunity?
The opportunity is titled Addressing Suicide Research Gaps: Aggregating and Mining Existing Data Sets for Secondary Analyses (R01).
What is the funding opportunity number?
The funding opportunity number is RFA-MH-18-400.
Which federal agency is offering this opportunity?
This is a National Institutes of Health (NIH) grant opportunity.
What type of grant is this?
This opportunity uses the R01 research grant mechanism, and the funding instrument type is a Grant.
What is the main purpose of this FOA?
The core purpose is to accelerate suicide prevention research by generating new insights from existing datasets, especially through secondary analyses that aggregate, harmonize, and mine data collected previously in basic science, clinical studies, and intervention research related to suicide risk and suicidal behaviors.
Does this FOA mainly support new data collection?
No. The emphasis is on secondary analyses and making better use of data that already exist, rather than primarily funding new data collection.
What kinds of datasets are encouraged for use in proposed projects?
The FOA encourages using and combining existing datasets from areas such as basic science, clinical studies, and intervention research on suicide risk and suicidal behaviors. It also explicitly welcomes the use of large-scale digital and administrative sources, including social media data and healthcare records.
What kinds of research questions is the FOA trying to advance?
The FOA aims to help identify and test predictors and moderators of suicide risk, including biological factors, lived/experiential factors, and other multi-domain influences that clarify who is at risk, under what conditions, and why.
What does it mean that the FOA encourages integrative and modern analytic approaches?
It means applicants are encouraged to use analytic methods capable of handling complex data across multiple levels of analysis, potentially linking different kinds of measures (for example biological, psychological, behavioral, environmental, and real-world context) to uncover patterns that smaller or single-purpose studies may miss.
Does the FOA encourage dimensional measures rather than only categorical groupings?
Yes. The FOA encourages the use of dimensional variables (for example severity, frequency, intensity, or trajectories over time) rather than relying only on simple categorical outcomes (such as yes/no groupings).
Can projects span multiple measurement levels (for example, biology plus behavior)?
Yes. The FOA promotes research spanning multiple measurement levels, including combinations of biological signals, psychological processes, behavior, environment, and real-world context, as long as the approach is rigorous and produces genuinely new insights from existing information.
Are electronic health records (EHR) an acceptable data source under this FOA?
Yes. The FOA explicitly welcomes large-scale administrative sources, including healthcare records, which can include EHR-derived indicators.
Are social media datasets explicitly allowed?
Yes. The FOA explicitly welcomes large-scale digital sources including social media data.
Why does this FOA emphasize combining and harmonizing multiple datasets?
Combining and harmonizing multiple datasets can increase statistical power, improve generalizability, and enable analysis of rare outcomes or subgroups that are often difficult to study adequately using single datasets.
Does the FOA reference any specific national research priorities?
Yes. It states that funded projects should help address gaps described in the 2014 Prioritized Research Agenda for Suicide Prevention.
Is there an RDoC-related focus in this opportunity?
Yes. A secondary objective is to stimulate research that lays groundwork for studies aligned with the Research Domain Criteria (RDoC) framework, including work that moves beyond traditional diagnostic categories to examine fundamental domains of functioning that may contribute to suicide risk.
Does this FOA require applicants to use diagnostic categories?
The FOA signals interest in work that moves beyond traditional diagnostic categories by encouraging dimensional and multi-domain approaches, including RDoC-aligned thinking. (The provided text does not state that diagnostic categories are required.)
What is the activity area for this grant?
The activity area is listed as health and education.
What are the CFDA listings associated with this FOA?
The CFDA listings included in the provided information are: 93.213, 93.242, 93.273, 93.279, and 93.399.
When was this opportunity created?
The opportunity was created on 2017-05-15.
What was the original closing date listed for this FOA?
The original closing date listed is 2017-11-02.
What is the award ceiling for this opportunity?
The listed award ceiling is $300,000.
Does the provided information state how many awards NIH expects to make?
No. The announcement indicates expected awards, but the provided source text does not include a specific number.
Who is eligible to apply?
Eligibility is broad and includes many organization types typically able to apply for NIH funding. Examples listed include:
- State, county, and city or township governments
- Special district governments
- Independent school districts
- Public and state-controlled institutions of higher education
- Private institutions of higher education
- Federally recognized Native American tribal governments
- Native American tribal organizations other than federally recognized tribal governments
- Public housing authorities and Indian housing authorities
- Nonprofits with and without 501(c)(3) status (excluding institutions of higher education in those nonprofit categories)
- For-profit organizations other than small businesses
- Small businesses
- Other entities
Are minority-serving institutions mentioned as eligible applicants?
Yes. The FOA highlights eligibility for categories including Alaska Native and Native Hawaiian Serving Institutions, AANAPISIs, Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), and Tribally Controlled Colleges and Universities (TCCUs).
Are faith-based or community-based organizations eligible?
Yes. The FOA explicitly includes faith-based or community-based organizations among eligible applicant categories.
Are U.S. territories or possessions eligible?
Yes. U.S. territories or possessions are explicitly listed among eligible applicant categories.
Are non-U.S. (foreign) organizations eligible to apply?
Yes. The eligibility list includes non-domestic (non-U.S.) entities (foreign organizations).
Are eligible federal agencies included?
Yes. The FOA lists eligible federal agencies among potential applicants.
What kinds of institutions does the FOA seem designed to involve?
Based on the eligibility list and emphasis on leveraging existing data, the FOA is positioned to involve a wide range of research, public-sector, and community-relevant institutions capable of conducting rigorous secondary analyses to produce higher-impact suicide risk research.
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