Opportunity Information: Apply for RFA MH 20 307

Addressing Suicide Research Gaps: Aggregating and Mining Existing Data Sets for Secondary Analyses (R01 Clinical Trial Not Allowed) is a National Institutes of Health (NIH) discretionary grant opportunity (Funding Opportunity Number RFA-MH-20-307; CFDA 93.242) aimed at improving what can be learned about suicide risk and suicide-related burden by making better use of data that already exist. The core purpose of the announcement is to fund projects that link and integrate pertinent information from structured healthcare system records with mortality data, so researchers can more accurately identify risk factors for suicide and quantify outcomes among people who show up in healthcare settings. A key example highlighted is connecting records of suicide attempt events documented in healthcare systems to death records, which can help clarify who later dies by suicide and under what circumstances, reducing the gaps that occur when healthcare and mortality data remain siloed.

The emphasis is on aggregation, linkage, and mining of existing datasets for secondary analyses rather than launching new clinical interventions or prospective trials. The FOA explicitly indicates an R01 mechanism and specifies Clinical Trial Not Allowed, meaning the work should focus on observational or data-science driven approaches using existing sources, such as electronic health records and administrative healthcare data, combined with vital records or other mortality datasets. The broader intent is to enable a more accurate and comprehensive understanding of suicide risk trajectories in real-world, structured care environments, where documentation practices, coding, follow-up patterns, and subsequent outcomes can be examined at scale once datasets are properly connected.

This is a grant (Funding Instrument Type: Grant) in the health research area, issued by NIH, and it was created on 2019-11-20 with an original closing date of 2020-02-10. The listed award ceiling is $500,000, indicating the maximum budget level expected per award under this announcement. While the source text does not specify the number of expected awards, the primary budgeting detail provided is the ceiling, which helps applicants frame project scope, personnel, and data access or linkage costs within that limit.

Eligibility is broad and spans many organization types, reflecting the cross-sector nature of health data and suicide prevention research. Eligible applicants include state, county, and local governments (including special districts), independent school districts, public and state-controlled institutions of higher education, private institutions of higher education, federally recognized Native American tribal governments, tribal organizations other than federally recognized tribal governments, public housing authorities and Indian housing authorities, nonprofits with or without 501(c)(3) status (outside of higher education), for-profit organizations other than small businesses, and small businesses. In addition, the FOA explicitly calls out other eligible applicant categories such as Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISISs), 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, Indian/Native American tribal governments other than federally recognized entities, and U.S. territories or possessions. This inclusive eligibility list suggests NIH is encouraging diverse institutional participation and recognizing that meaningful suicide-related data resources and expertise may sit in many different settings.

In practical terms, the opportunity is designed to support projects that can bring together fragmented information so that suicide-related events documented in healthcare settings can be connected to ultimate mortality outcomes. By enabling more reliable linkages and robust secondary analyses, funded work is expected to strengthen evidence about risk factors, improve estimates of burden, and help inform prevention strategies and policy decisions grounded in real-world healthcare data rather than limited or incomplete snapshots.

  • The National Institutes of Health in the health sector is offering a public funding opportunity titled "Addressing Suicide Research Gaps: Aggregating and Mining Existing Data Sets for Secondary Analyses (R01 Clinical Trial Not Allowed)" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.242.
  • This funding opportunity was created on 2019-11-20.
  • Applicants must submit their applications by 2020-02-10. (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 $500,000.00 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.
Apply for RFA MH 20 307

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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 Clinical Trial Not Allowed)."

Which agency is offering this funding?

This is a National Institutes of Health (NIH) discretionary grant opportunity.

What is the Funding Opportunity Number (FOA number)?

The Funding Opportunity Number is RFA-MH-20-307.

What is the CFDA number listed for this opportunity?

The CFDA number provided is 93.242.

What is the main purpose of this FOA?

The core purpose is to improve what can be learned about suicide risk and suicide-related burden by making better use of data that already exist, especially by linking structured healthcare system records with mortality data to support secondary analyses.

What kind of projects is this FOA intended to fund?

Projects that aggregate, link, integrate, and mine existing datasets for secondary analyses, with a strong emphasis on connecting structured healthcare data (such as electronic health records and administrative healthcare data) with mortality or vital records so suicide-related outcomes can be measured more accurately.

Does this funding support new interventions or prospective clinical trials?

No. The FOA emphasizes secondary analyses of existing datasets rather than launching new clinical interventions or prospective trials.

Are clinical trials allowed under this opportunity?

No. The FOA is explicitly labeled "Clinical Trial Not Allowed."

What grant mechanism is used for this opportunity?

The FOA uses the R01 mechanism.

What is the funding instrument type?

The funding instrument type is a Grant.

What is a key example of the kind of linkage this FOA highlights?

A key example is connecting healthcare system records that document suicide attempt events to death records, which helps clarify who later dies by suicide and under what circumstances.

Why is linking healthcare records with mortality data important for this FOA?

Linkage reduces gaps that occur when healthcare and mortality data remain siloed, enabling more accurate identification of risk factors and better quantification of outcomes for people who appear in healthcare settings.

What types of data sources are specifically mentioned as relevant?

The FOA description references structured healthcare system records (including electronic health records and administrative healthcare data) and mortality data (such as vital records or other mortality datasets).

What types of research approaches fit this FOA?

Observational and data-science driven approaches using existing sources are emphasized, particularly approaches that allow dataset linkage and large-scale examination of documentation practices, coding, follow-up patterns, and subsequent outcomes.

What kinds of outcomes is the FOA trying to measure more accurately?

It is focused on suicide-related outcomes, including clarifying which individuals with suicide-related events documented in healthcare systems later die by suicide, and quantifying suicide-related burden in real-world healthcare settings.

When was this opportunity created?

The opportunity was created on 2019-11-20.

What was the original closing date listed for this FOA?

The original closing date listed is 2020-02-10.

What is the award ceiling for this opportunity?

The listed award ceiling is $500,000, which is the maximum budget level expected per award under this announcement.

Does the information provided specify how many awards NIH expects to make?

No. The source information does not specify the number of expected awards.

What general field or area does this grant support?

This is a health research funding opportunity focused on suicide risk and suicide-related burden, specifically through improved use of existing data resources.

Who is eligible to apply for this grant?

Eligibility is broad and includes many organization types across government, education, nonprofit, and private sectors, as well as certain tribal and non-U.S. entities, as listed in the FOA summary.

Are state, county, or local governments eligible?

Yes. State, county, and local governments (including special districts) are eligible.

Are independent school districts eligible?

Yes. Independent school districts are listed as eligible applicants.

Are public or state-controlled institutions of higher education eligible?

Yes. Public and state-controlled institutions of higher education are eligible.

Are private institutions of higher education eligible?

Yes. Private institutions of higher education are eligible.

Are nonprofit organizations eligible (with or without 501(c)(3) status)?

Yes. Nonprofits with or without 501(c)(3) status (outside of higher education) are listed as eligible.

Are for-profit organizations eligible?

Yes. For-profit organizations other than small businesses are listed as eligible, and small businesses are also listed separately as eligible.

Are federally recognized Native American tribal governments eligible?

Yes. Federally recognized Native American tribal governments are included in the eligibility list.

Are tribal organizations that are not federally recognized tribal governments eligible?

Yes. Tribal organizations other than federally recognized tribal governments are listed as eligible.

Are public housing authorities and Indian housing authorities eligible?

Yes. Public housing authorities and Indian housing authorities are listed as eligible.

Are minority-serving institutions specifically mentioned as eligible?

Yes. The eligibility list explicitly includes Alaska Native and Native Hawaiian Serving Institutions, AANAPISISs, Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), and other categories.

Are faith-based or community-based organizations eligible?

Yes. Faith-based or community-based organizations are explicitly listed as eligible.

Are federal agencies eligible to apply?

Yes. Eligible federal agencies are included in the eligibility list.

Are non-U.S. (non-domestic) entities eligible?

Yes. Non-domestic (non-U.S.) entities are listed as eligible applicants.

Are U.S. territories or possessions eligible?

Yes. U.S. territories or possessions are included in the eligibility list.

What is the overall intended impact of projects funded under this FOA?

The intent is to enable a more accurate and comprehensive understanding of suicide risk trajectories in real-world healthcare environments by connecting fragmented datasets, strengthening evidence on risk factors, improving estimates of burden, and helping inform prevention strategies and policy decisions grounded in linked real-world data.

Is this FOA focused on primary data collection or on secondary analysis?

It is focused on secondary analyses, specifically aggregation, linkage, integration, and mining of existing datasets.

What kinds of practical issues in healthcare data does the FOA suggest can be examined once datasets are linked?

The description notes that, at scale, linked datasets can support examination of documentation practices, coding, follow-up patterns, and subsequent outcomes in structured care environments.

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