Opportunity Information: Apply for RFA ES 15 004

  • The National Institutes of Health in the education environment food and nutrition health income security and social services sector is offering a public funding opportunity titled "Biomedical Data Science Training Coordination Center (U24)" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.113 Environmental Health 93.121 Oral Diseases and Disorders Research 93.172 Human Genome Research 93.173 Research Related to Deafness and Communication Disorders 93.213 Research and Training in Complementary and Integrative Health 93.233 National Center on Sleep Disorders Research 93.242 Mental Health Research Grants 93.273 Alcohol Research Programs 93.279 Drug Abuse and Addiction Research Programs 93.286 Discovery and Applied Research for Technological Innovations to Improve Human Health 93.307 Minority Health and Health Disparities Research 93.310 Trans NIH Research Support 93.350 National Center for Advancing Translational Sciences 93.351 Research Infrastructure Programs 93.361 Nursing Research 93.393 Cancer Cause and Prevention Research 93.394 Cancer Detection and Diagnosis Research 93.396 Cancer Biology Research 93.399 Cancer Control 93.837 Cardiovascular Diseases Research 93.838 Lung Diseases Research 93.839 Blood Diseases and Resources Research 93.846 Arthritis, Musculoskeletal and Skin Diseases Research 93.847 Diabetes, Digestive, and Kidney Diseases Extramural Research 93.853 Extramural Research Programs in the Neurosciences and Neurological Disorders 93.855 Allergy and Infectious Diseases Research 93.856 Microbiology and Infectious Diseases Research 93.859 Biomedical Research and Research Training 93.865 Child Health and Human Development Extramural Research 93.866 Aging Research 93.867 Vision Research 93.879 Medical Library Assistance.
  • This funding opportunity was created on Mar 9, 2015 and posted on Dec 19, 2014.
  • Applicants must submit their applications by Apr 1, 2015. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • The funding agency has allocated a total of $1,400,000.00 to eligible and selected applicants.
  • Each selected applicant is eligible to receive up to $1,400,000.00 in funding.
  • The number of recipients for this funding is limited to 1 candidate(s).
  • Eligible applicants include: Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Private institutions of higher education Public and State controlled institutions of higher education Others (see text field entitled Additional Information on Eligibility for clarification) Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education.
  • Other Eligible Applicants include the following 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) Non domestic (non U.S.) Entities (Foreign Institutions) are not eligible to apply.Non domestic (non U.S.) components of U.S. Organizations are not eligible to apply.Foreign components, as defined in the NIH Grants Policy Statement, are allowed.
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Opportunity Summary:

The Biomedical Data Science Training Coordination Center (U24) funding opportunity (RFA ES 15 004) is a National Institutes of Health cooperative agreement aimed at tackling a practical bottleneck in modern biomedical research: enormous volumes of biomedical "big data" are increasingly available, but many biomedical scientists still lack the training, guidance, and easy-to-find educational materials needed to use those data accurately, efficiently, and responsibly. Rather than funding a traditional research project, this FOA supports a centralized coordination center that helps organize the national training landscape, connects the right communities, and makes educational resources easier to discover and reuse.

At the core of the program is the creation of a Training Coordination Center (TCC) that serves as a hub for people running or contributing to biomedical data science training and career development programs. The idea is to build a functioning network where training leaders and educators can regularly interact, compare approaches, share lessons learned, reduce duplicated effort, and identify gaps in the current training ecosystem. In parallel, the TCC is expected to actively engage developers of open educational resources, not just to encourage resource creation, but to make sure those materials are actually open, broadly accessible, and designed in ways that make them easy for the wider biomedical community to find and use.

By the end of the award period, the TCC is expected to deliver two major outcomes. First, it should have developed an active network of scientists and stakeholders involved in biomedical big data science training, essentially creating a community that can sustain communication and coordination across programs. Second, it must produce a "discovery index" intended to function as a primary, go-to source for personalized access to publicly available biomedical data science educational resources. In plain terms, this index should help users quickly locate relevant training materials based on their needs, background, or goals, improving discoverability and reducing the time researchers spend hunting for reliable instruction.

Administratively, this is a discretionary funding opportunity using the cooperative agreement mechanism (U24), which typically means substantial scientific or programmatic involvement from NIH staff compared with a standard grant. The announcement anticipates a single award, with an estimated total funding amount of $1,400,000 and an award ceiling of $1,400,000. There is no cost sharing or matching requirement. The opportunity was posted December 19, 2014, with a final closing date listed as April 1, 2015, and an archive date of May 1, 2015.

Eligibility is broad across U.S.-based higher education institutions and nonprofit organizations, including public and state-controlled universities, private universities, and nonprofits with or without 501(c)(3) status (with the usual NIH clarifications). The FOA explicitly includes several categories of eligible institutions such as HBCUs, Hispanic-serving institutions, Tribally Controlled Colleges and Universities, Alaska Native and Native Hawaiian Serving Institutions, and AANAPISI institutions. Foreign institutions are not eligible to apply, and non-U.S. components of U.S. organizations are not eligible; however, "foreign components" as defined in the NIH Grants Policy Statement are allowed.

The listed CFDA numbers span a wide range of NIH and health-related research and training domains, reflecting that the center is meant to support biomedical data science training needs across many disease areas and institutes rather than being limited to a single specialty. Overall, this FOA is best understood as an infrastructure and coordination investment: it funds an organizing center whose job is to connect people running training programs, promote effective sharing and reuse of open training materials, and deliver a searchable, personalized index that makes biomedical data science education easier to find for the broader research community.

Frequently Asked Questions (FAQs)

What is the Biomedical Data Science Training Coordination Center (U24) opportunity?

This opportunity (RFA ES 15 004) is a National Institutes of Health (NIH) cooperative agreement to support a centralized Training Coordination Center (TCC) focused on biomedical data science training. It is designed to address a key practical problem in modern biomedical research: large volumes of biomedical "big data" exist, but many biomedical scientists lack sufficient training, guidance, and easy-to-find educational materials to use those data accurately, efficiently, and responsibly.

Is this funding meant for a traditional research project?

No. Based on the description provided, this FOA is not primarily funding a conventional research project. It supports an infrastructure and coordination function: a national hub that organizes the training landscape, connects communities involved in training and career development, and improves how educational resources are discovered and reused.

What does "Training Coordination Center (TCC)" mean in this FOA?

The Training Coordination Center (TCC) is the central hub funded by this FOA. Its role is to serve as a meeting point and coordination resource for people who run, contribute to, or support biomedical data science training and career development programs, and to help create an organized network of educators, training leaders, and stakeholders.

What problem is the TCC intended to solve?

The FOA targets a training and coordination bottleneck: biomedical big data are increasingly available, but many biomedical scientists still lack training, guidance, and easily discoverable educational materials. The TCC is intended to improve coordination among training efforts, reduce duplicated work across programs, identify gaps, and make open educational resources easier to find and reuse.

What are the major expected outcomes by the end of the award period?

The FOA describes two major expected outcomes by the end of the award period:

  • An active network of scientists and stakeholders involved in biomedical big data science training, forming a community that sustains communication and coordination across programs.
  • A "discovery index" that functions as a primary, go-to source for personalized access to publicly available biomedical data science educational resources, helping users locate training materials aligned with their needs, background, or goals.

What is the "discovery index" and what is it supposed to do?

The discovery index is an output of the TCC intended to be a primary resource for finding biomedical data science educational materials. It is described as providing personalized access to publicly available resources, with the practical goal of helping users quickly locate relevant training materials and reducing time spent searching for reliable instruction.

Who is the TCC expected to connect and serve?

The TCC is intended to serve as a hub for people running or contributing to biomedical data science training and career development programs. It is also expected to engage developers of open educational resources so that those materials are truly open, broadly accessible, and designed to be easy for the wider biomedical community to find and use.

How does the FOA describe engagement with open educational resources?

The FOA emphasizes active engagement with developers of open educational resources, not only to encourage creation, but to ensure materials are open, broadly accessible, and structured in ways that improve discovery and reuse across the biomedical community.

What funding mechanism is used for this opportunity?

The FOA uses the NIH cooperative agreement mechanism (U24). This mechanism typically involves substantial scientific or programmatic involvement from NIH staff compared with a standard grant mechanism.

What does "cooperative agreement" imply for NIH involvement?

Based on the description provided, the U24 cooperative agreement mechanism generally indicates more direct NIH scientific or programmatic involvement than would be expected under a standard grant. The FOA frames this as "substantial" involvement by NIH staff.

What is the total anticipated funding and the maximum award amount?

The announcement anticipates a single award with an estimated total funding amount of $1,400,000. The award ceiling is also listed as $1,400,000.

How many awards does this FOA anticipate making?

The FOA anticipates a single award.

Is cost sharing or matching required?

No. The information provided states there is no cost sharing or matching requirement.

When was the opportunity posted and what were the key dates?

The opportunity was posted on December 19, 2014. The final closing date is listed as April 1, 2015, and the archive date is May 1, 2015.

Who is eligible to apply?

Eligibility is described as broad across U.S.-based higher education institutions and nonprofit organizations. The description includes public and state-controlled universities, private universities, and nonprofit organizations with or without 501(c)(3) status (with the usual NIH clarifications).

Are minority-serving institutions explicitly included as eligible applicants?

Yes. The FOA explicitly includes multiple categories of eligible institutions, including HBCUs, Hispanic-serving institutions, Tribally Controlled Colleges and Universities, Alaska Native and Native Hawaiian Serving Institutions, and AANAPISI institutions.

Are foreign institutions eligible to apply?

No. Foreign institutions are not eligible to apply, according to the information provided.

Can a U.S. organization apply if it has non-U.S. components?

Non-U.S. components of U.S. organizations are not eligible, based on the description provided.

Are "foreign components" allowed at all under this FOA?

Yes. While foreign institutions and non-U.S. components of U.S. organizations are not eligible to apply, "foreign components" as defined in the NIH Grants Policy Statement are allowed.

Is the TCC meant to focus on one disease area or one specialty?

No. The listed CFDA numbers span a wide range of NIH and health-related research and training domains. This is described as reflecting an intent to support biomedical data science training needs across many disease areas and NIH institutes, rather than limiting the center to a single specialty.

In simple terms, what is NIH investing in through this FOA?

This FOA is best understood as an infrastructure and coordination investment. It funds an organizing center whose job is to connect people running training programs, promote sharing and reuse of open training materials, and deliver a searchable, personalized index that makes biomedical data science education easier to find for the broader research community.

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