Metabolomics Data Analysis (R03) | Apply Online

Opportunity Summary:

The Metabolomics Data Analysis (R03) funding opportunity (RFA-RM-15-021) is a discretionary NIH grant program under HHS (Agency: HHS-NIH11) focused on strengthening how researchers analyze metabolomics data for real biomedical use. It uses the NIH small research grant mechanism (R03), which is typically suited for tightly scoped, early-stage, or method-development projects that can produce clear deliverables without requiring the scale of a large multi-year award. The overall intent is practical and collaborative: bring together bioinformaticians, metabolomics specialists, and biomedical researchers so that metabolomics datasets can be interpreted more accurately and efficiently to answer health-related questions.

A central theme of the announcement is improving metabolomics data analysis itself. That includes the computational and statistical approaches needed to extract biological meaning from complex metabolite measurements, which are often high-dimensional, noisy, and influenced by factors like diet, medications, sample handling, and instrument variation. Projects supported by this FOA are expected to tackle barriers that prevent metabolomics from being routinely and reliably used in biomedical research, such as better methods for data processing, normalization, metabolite identification, feature annotation, pathway analysis, integration with other omics data, and tools that make results more reproducible and easier to compare across studies. The emphasis on collaboration signals that proposals should not be purely computational in isolation; they should be anchored in real metabolomics workflows and tied to biomedical questions where improved analysis would clearly add value.

The FOA also explicitly positions these grants as complementary to the NIH Common Fund Metabolomics Program. That means applicants are encouraged to build on and extend existing community investments rather than reinventing infrastructure. A strong fit would be a project that leverages current metabolomics databases, repositories, reference libraries, or standardized resources and makes them more usable, more interoperable, or more informative through improved analysis strategies. In other words, the program is designed to maximize the return on existing metabolomics data and tools by enabling better downstream interpretation, broader reuse, and more robust conclusions.

From an administrative standpoint, the opportunity is open to a wide range of applicant organizations. Eligible applicants include various levels of government (state, county, city/township, and special district), independent school districts, public and private institutions of higher education, federally recognized Native American tribal governments and other tribal organizations, public housing authorities/Indian housing authorities, nonprofit organizations both with and without 501(c)(3) status (outside of higher education), for-profit organizations (other than small businesses), small businesses, and other entities as allowed under the announcement’s additional eligibility language. The activity category is Health, and the listing is associated with CFDA numbers 93.310. The award ceiling is listed as $100,000, reflecting the small-grant nature of the R03 mechanism and reinforcing that proposed projects should be focused, feasible, and deliver concrete outputs within a modest budget.

Key dates in the published record show the announcement was created and posted on October 30, 2015, with an original and current closing date of February 11, 2016. While the expected number of awards is not specified in the provided fields, the intent is clear: fund a set of small, targeted efforts that collectively move the field forward by improving analytic methods and enabling stronger biomedical insights from metabolomics datasets.

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