Opportunity Information: Apply for PAR 18 733
The National Institutes of Health (NIH), through the NIH Common Fund, offered this funding opportunity to support small, focused research projects that use or help expand the Gabriella Miller Kids First (Kids First) Data Resource. Kids First is a pediatric research program built around a shared data resource that combines genome sequencing data with detailed phenotype (clinical and trait) information. The core purpose is to give researchers who study the genetics of childhood cancers and structural birth defects a high-value, broadly accessible dataset that can speed up discovery about disease mechanisms. Over time, those discoveries are expected to contribute to better diagnostics and, ultimately, more targeted treatments for affected children.
This particular announcement uses the NIH R03 mechanism, which is designed for smaller, limited-scope projects. In practical terms, it is meant for discrete analyses, pilot-style studies, or narrowly defined methods work that can be completed with modest resources. The emphasis is on meritorious projects that either analyze existing Kids First datasets (or datasets that could be incorporated into Kids First) or that improve the way researchers can analyze genome-wide data in these disease areas. In addition to direct data analyses, applicants may propose development of statistical or computational methodology tailored to genome-scale datasets relevant to pediatric cancer and/or structural birth defects, as long as the work aligns with the Kids First mission and supports better use of shared pediatric genomic-phenotypic data.
The broader Kids First program goal is twofold: first, to obtain and aggregate genome sequence and phenotype data from as many relevant cohorts as possible across childhood cancers and structural birth defects, and second, to advance research by enabling broad data sharing with the research community. This funding opportunity fits into that strategy by encouraging investigators to do high-impact analyses on these shared datasets and to develop analytic approaches that make the resource more scientifically productive for many users, not just a single lab. The title also specifies "Clinical Trial Not Allowed," meaning the proposed research cannot include a clinical trial component under NIH definitions, and the work should remain within the bounds of data-focused research and methods development rather than interventional studies.
Key administrative details included an award ceiling of $200,000 and a closing date listed as November 16, 2018, under Funding Opportunity Number PAR-18-733. The opportunity category is discretionary, the instrument type is a grant, and the activity category is associated with health-related research. Multiple CFDA numbers are referenced (including 93.121, 93.233, 93.273, 93.837, 93.838, 93.839, 93.865, and 93.940), reflecting the NIH institutes and programs connected to the initiative.
Eligibility was broad and included many types of domestic organizations and governments: 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; other tribal organizations; public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status; for-profit organizations (other than small businesses); and small businesses. The announcement also explicitly highlighted additional eligible applicant categories such as Historically Black Colleges and Universities (HBCUs), Hispanic-serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISIs), faith-based or community-based organizations, eligible federal agencies, regional organizations, U.S. territories or possessions, and non-domestic (non-U.S.) entities (foreign organizations). In short, NIH structured eligibility to encourage wide participation, including institutions and communities that are often underrepresented in large-scale genomics research.
Overall, the opportunity was meant to catalyze smaller, high-value projects that leverage the Kids First Data Resource to uncover genetic contributors to pediatric cancers and structural birth defects, improve genome-wide analytic methods in these areas, and strengthen an integrated, shared pediatric data ecosystem that can be reused broadly by the research community.Apply for PAR 18 733
- The National Institutes of Health in the health, income security and social services sector is offering a public funding opportunity titled "Small Research Grants for Analyses of Data for the Gabriella Miller Kids First Data Resource (R03 - 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): 93.121, 93.233, 93.273, 93.837, 93.838, 93.839, 93.865, 93.940.
- This funding opportunity was created on 2018-03-30.
- Applicants must submit their applications by 2018-11-16. (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 $200,000.00 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 this funding opportunity about?
This NIH Common Fund funding opportunity supports small, focused research projects that use or help expand the Gabriella Miller Kids First (Kids First) Data Resource. The intent is to enable high-value analyses and methods work that improve how researchers study the genetics of childhood cancers and structural birth defects using shared genomic and phenotype data.
Which organization is offering the grant?
The opportunity is offered by the National Institutes of Health (NIH) through the NIH Common Fund.
What is the Kids First Data Resource?
Kids First is a pediatric research program built around a shared data resource that combines genome sequencing data with detailed phenotype information (clinical and trait data). It is designed to provide a broadly accessible dataset for researchers studying the genetics of childhood cancers and structural birth defects.
What is the main purpose of Kids First?
The core purpose is to provide a high-value, widely accessible dataset that can speed discovery about disease mechanisms in childhood cancers and structural birth defects. Over time, discoveries are expected to contribute to better diagnostics and more targeted treatments for affected children.
What types of research does this announcement support?
The announcement supports meritorious projects that (1) analyze existing Kids First datasets, (2) analyze datasets that could be incorporated into Kids First, and/or (3) develop statistical or computational methods tailored to genome-scale datasets relevant to pediatric cancer and/or structural birth defects, as long as the work aligns with the Kids First mission and supports better use of shared pediatric genomic-phenotypic data.
Is this intended for large, multi-year projects?
No. This announcement uses the NIH R03 mechanism, which is designed for smaller, limited-scope projects. It is intended for discrete analyses, pilot-style studies, or narrowly defined methods work that can be completed with modest resources.
What is the NIH activity mechanism used for this opportunity?
The opportunity uses the NIH R03 mechanism.
Does the opportunity focus only on data analysis, or also on tool/method development?
It includes both. In addition to direct analyses of Kids First data (or data that could be incorporated), applicants may propose development of statistical or computational methodology tailored to genome-scale datasets in pediatric cancer and/or structural birth defects, provided it supports the Kids First mission and improves use of shared data.
Which disease areas are emphasized?
The emphasis is on the genetics of childhood cancers and structural birth defects.
What is meant by phenotype information in this context?
Phenotype information refers to detailed clinical and trait information linked to the genomic data, enabling integrated analyses that connect genetic variation with observable characteristics and clinical outcomes.
How does this opportunity fit into the broader Kids First program goals?
Kids First has two overarching goals: (1) obtain and aggregate genome sequence and phenotype data from as many relevant cohorts as possible across childhood cancers and structural birth defects, and (2) advance research through broad data sharing with the research community. This opportunity supports that strategy by funding high-impact analyses and analytic approaches that increase the scientific productivity of the shared resource for many users.
Are clinical trials allowed under this announcement?
No. The title specifies "Clinical Trial Not Allowed," meaning the proposed research cannot include a clinical trial component under NIH definitions. The work should stay within data-focused research and methods development rather than interventional studies.
What is the maximum award amount (award ceiling)?
The award ceiling listed is $200,000.
What is the funding opportunity number?
The Funding Opportunity Number is PAR-18-733.
What was the listed closing date for applications?
The closing date listed for this opportunity is November 16, 2018.
What is the opportunity category and instrument type?
The opportunity category is discretionary. The instrument type is a grant.
What is the activity category associated with this funding?
The activity category is associated with health-related research.
Who is eligible to apply?
Eligibility is broad and includes many types of domestic organizations and governments, such as 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; other tribal organizations; public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status; for-profit organizations (other than small businesses); and small businesses.
Are small businesses eligible?
Yes. Small businesses are listed as eligible applicants.
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 nonprofit organizations required to have 501(c)(3) status?
No. The eligibility list includes nonprofits with or without 501(c)(3) status.
Are universities and colleges eligible to apply?
Yes. Eligible applicants include both public and state-controlled institutions of higher education and private institutions of higher education.
Are state, local, and tribal governments eligible?
Yes. Eligibility includes state governments, county governments, city or township governments, special district governments, and federally recognized Native American tribal governments, as well as other tribal organizations.
Are U.S. territories or possessions eligible?
Yes. The announcement explicitly includes U.S. territories or possessions among the highlighted eligible applicant categories.
Are foreign (non-U.S.) organizations eligible to apply?
Yes. The announcement explicitly highlights non-domestic (non-U.S.) entities (foreign organizations) as eligible.
Does the eligibility language encourage participation from underrepresented institutions or communities?
Yes. The announcement explicitly highlights eligibility for institutions and organizations such as HBCUs, Hispanic-serving Institutions, TCCUs, Alaska Native and Native Hawaiian Serving Institutions, AANAPISIs, and faith-based or community-based organizations, among others.
Which specific institution types are explicitly highlighted as eligible?
The announcement explicitly highlights HBCUs, Hispanic-serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISIs), faith-based or community-based organizations, eligible federal agencies, regional organizations, U.S. territories or possessions, and foreign organizations.
What CFDA numbers are associated with this opportunity?
Multiple CFDA numbers are referenced: 93.121, 93.233, 93.273, 93.837, 93.838, 93.839, 93.865, and 93.940. These reflect the NIH institutes and programs connected to the initiative.
Does the opportunity require projects to only use existing Kids First data?
No. The scope includes analysis of existing Kids First datasets and also analysis of datasets that could be incorporated into Kids First.
What is the intended impact of projects funded under this opportunity?
Projects are intended to catalyze smaller, high-value studies that uncover genetic contributors to pediatric cancers and structural birth defects, improve genome-wide analytic methods in these areas, and strengthen an integrated, shared pediatric data ecosystem that can be reused broadly by the research community.
Is this opportunity focused on making outcomes useful beyond a single lab?
Yes. A stated emphasis is on analytic approaches that make the Kids First resource more scientifically productive for many users, not just a single lab.
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