Opportunity Information: Apply for RFA RM 17 012
The Metabolomic Data Analysis and Interpretation Tools (U01) funding opportunity (RFA-RM-17-012) is a National Institutes of Health (NIH) cooperative agreement focused on improving how researchers analyze, interpret, and integrate metabolomics data. The central aim is not to fund additional metabolomics experiments or to simply support one research group s ongoing analyses, but to produce broadly usable computational methods and software that address persistent bottlenecks in metabolomics data processing and biological interpretation. In practice, NIH is looking for projects that yield tools the wider biomedical research community can adopt, reuse, and scale, rather than one-off pipelines tailored to a single dataset or a single laboratory.
This FOA emphasizes development of new or substantially enhanced computational approaches that make metabolomics data easier to work with end-to-end, including analysis, interpretation, and integration with other data types. Strongly encouraged are solutions that are generalizable (usable across many study designs and platforms), scalable (able to handle large datasets and expanding study sizes), and portable (deployable across different computing environments or institutions). A notable priority is usability for scientists who do not have deep informatics expertise, which implicitly favors tools with clear documentation, intuitive interfaces or workflows, sensible defaults, and automation that reduces the need for specialized computational skills. Because the instrument is a U01 cooperative agreement, recipients should also expect substantial NIH programmatic involvement compared with a standard research grant, typically meaning closer coordination with NIH staff, milestones, and an emphasis on producing a community resource.
The opportunity sits within the health funding category and is associated with CFDA number 93.310. The award ceiling listed is 300,000, and the original closing date provided is 2017-10-20, indicating this was a time-limited solicitation with that submission deadline. The overall intent is capacity-building for the field: creating analysis and interpretation tools that can be broadly disseminated and that help standardize, accelerate, and strengthen metabolomics research across biomedical domains.
Eligibility is broad and includes many types of U.S.-based organizations and government entities, such as state, county, and city governments; 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 and without 501(c)(3) status (outside higher education); for-profit organizations other than small businesses; and small businesses. The FOA also explicitly highlights eligibility for a range of mission-driven and underrepresented institution types, including Alaska Native and Native Hawaiian Serving Institutions, AANAPISIs, Hispanic-serving Institutions, Historically Black Colleges and Universities, Tribally Controlled Colleges and Universities, faith-based or community-based organizations, regional organizations, eligible federal government agencies, and U.S. territories or possessions. Foreign institutions (non-U.S. entities) are not eligible to apply as applicant organizations, but non-domestic components of U.S. organizations may participate, and foreign components are allowed as defined by the NIH Grants Policy Statement, meaning parts of the work can be conducted internationally under NIH rules even though the applicant organization must be eligible and primarily U.S.-based.
Taken together, this FOA is best understood as an NIH investment in shared metabolomics infrastructure: practical, widely adoptable computational tools that lower technical barriers, improve interpretability, and enable integration of metabolomics with other biomedical data, thereby making metabolomics studies more reproducible, comparable, and scientifically informative across the community.Apply for RFA RM 17 012
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "Metabolomic Data Analysis and Interpretation Tools (U01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.310.
- This funding opportunity was created on 2017-08-01.
- Applicants must submit their applications by 2017-10-20. (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 Metabolomic Data Analysis and Interpretation Tools (U01) opportunity?
This funding opportunity (RFA-RM-17-012) is an NIH cooperative agreement (U01) focused on improving how researchers analyze, interpret, and integrate metabolomics data by creating broadly usable computational methods and software tools.
What is the main goal of this FOA?
The central goal is to produce community-oriented computational approaches and software that address ongoing bottlenecks in metabolomics data processing and biological interpretation, with tools that the wider biomedical research community can adopt, reuse, and scale.
Is this FOA intended to fund new metabolomics experiments?
No. The FOA is specifically described as not being aimed at funding additional metabolomics experiments. It is aimed at tool and method development for data analysis, interpretation, and integration.
Is this FOA meant to support a single lab's ongoing analyses?
No. It is explicitly positioned as not being intended simply to support one research group's ongoing analyses. The expectation is to deliver broadly usable tools rather than one-off pipelines tailored to a single dataset or laboratory.
What kinds of deliverables is NIH looking for?
NIH is looking for new or substantially enhanced computational methods and software tools that improve metabolomics workflows end-to-end, including analysis, interpretation, and integration with other data types, and that can be broadly disseminated to the community.
What does "broadly usable" mean in the context of this FOA?
It means the outputs should be adoptable by the wider biomedical research community, reusable in multiple contexts, and scalable beyond a single study, platform, or institution.
What characteristics are strongly encouraged for proposed tools?
The FOA strongly encourages solutions that are generalizable (usable across many study designs and platforms), scalable (able to handle large and growing datasets), and portable (deployable across different computing environments or institutions).
How important is usability for non-informatics experts?
Usability is a notable priority. The FOA emphasizes tools that can be used by scientists without deep informatics expertise, which favors clear documentation, intuitive interfaces or workflows, sensible defaults, and automation that reduces specialized computational requirements.
What is the funding mechanism and why does it matter?
The mechanism is a U01 cooperative agreement. Compared with a standard research grant, this typically involves substantial NIH programmatic involvement, closer coordination with NIH staff, milestone-oriented management, and a strong emphasis on producing a community resource.
What NIH agency or program is associated with this opportunity?
The opportunity is offered by the National Institutes of Health (NIH) and is described as a cooperative agreement focused on metabolomics data analysis and interpretation tool development.
What is the health funding category and CFDA number listed?
The opportunity is within the health funding category and is associated with CFDA number 93.310.
What is the award ceiling for this FOA?
The listed award ceiling is 300,000.
What was the closing date for submissions?
The original closing date provided is 2017-10-20, indicating this was a time-limited solicitation with that submission deadline.
Does this FOA aim to build capacity or infrastructure for the field?
Yes. The overall intent is described as capacity-building for metabolomics by creating analysis and interpretation tools that can be broadly disseminated and that help standardize, accelerate, and strengthen metabolomics research across biomedical domains.
What types of organizations are eligible to apply?
Eligibility is broad and includes many U.S.-based entities such as state, county, and city governments; 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 and without 501(c)(3) status (outside higher education); for-profit organizations other than small businesses; and small businesses.
Are minority-serving and mission-driven institutions explicitly included?
Yes. The FOA highlights eligibility for Alaska Native and Native Hawaiian Serving Institutions, AANAPISIs, Hispanic-serving Institutions, Historically Black Colleges and Universities, Tribally Controlled Colleges and Universities, faith-based or community-based organizations, regional organizations, eligible federal government agencies, and U.S. territories or possessions.
Are foreign (non-U.S.) institutions eligible to apply as the applicant organization?
No. Foreign institutions (non-U.S. entities) are not eligible to apply as applicant organizations for this opportunity.
Can international work still be part of the project?
Yes, within NIH rules. The FOA notes that non-domestic components of U.S. organizations may participate, and foreign components are allowed as defined by the NIH Grants Policy Statement, meaning parts of the work can be conducted internationally even though the applicant organization must be eligible and primarily U.S.-based.
What does this FOA prioritize: one-off pipelines or reusable community tools?
Reusable community tools. The FOA prioritizes tools the broader biomedical research community can adopt, reuse, and scale, rather than one-off pipelines built around a single dataset or laboratory.
What kinds of improvements to metabolomics research does NIH expect from funded projects?
The FOA frames expected impact as lowering technical barriers, improving interpretability, and enabling integration of metabolomics with other biomedical data, which in turn supports more reproducible, comparable, and scientifically informative metabolomics studies across the community.
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