Opportunity Information: Apply for RFA HG 14 008

  • 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 "Courses for Skills Development in Biomedical Big Data Science (R25)" 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 93.313 NIH Office of Research on Womens Health 93.350 National Center for Advancing Translational Sciences 93.351 Research Infrastructure Programs 93.361 Nursing Research 93.394 Cancer Detection and Diagnosis Research 93.395 Cancer Treatment Research 93.396 Cancer Biology Research 93.397 Cancer Centers Support Grants 93.398 Cancer Research Manpower 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 93.989 International Research and Research Training.
  • This funding opportunity was created on Apr 3, 2015 and posted on Jan 16, 2014.
  • Applicants must submit their applications by Sep 18, 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 $700,000.00 to eligible and selected applicants.
  • Each selected applicant is eligible to receive up to $150,000.00 in funding.
  • 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 Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Others (see text field entitled Additional Information on Eligibility for clarification).
  • 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 not allowed.
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Opportunity Summary:

The NIH funding opportunity "Courses for Skills Development in Biomedical Big Data Science (R25)" (Funding Opportunity Number RFA-HG-14-008) is a discretionary grant program designed to strengthen the biomedical research workforce by supporting targeted educational activities in big data science. It sits under the NIH Research Education Program (R25), which is specifically meant to fund research education efforts that are aligned with NIH mission areas. In practical terms, this opportunity is about creating and delivering short, skills-focused courses that help researchers and trainees gain the competencies they need to work effectively with large, complex biomedical, behavioral, and clinical datasets. The program is part of the Big Data to Knowledge (BD2K) initiative, reflecting NIH's broader push to ensure the research community can keep pace with rapidly expanding data generation and the analytical, computational, and statistical challenges that come with it.

The core purpose of the opportunity is workforce development through education rather than traditional hypothesis-driven research. That typically means the emphasis is on well-structured curriculum design, high-quality instructional methods, and measurable outcomes such as improved participant skills, expanded access to training, and dissemination of course materials or models that others can reuse. While the announcement summary does not list specific required topics, the title and BD2K framing point toward training that can include areas like data management and stewardship, reproducible analysis practices, computational methods, statistics and machine learning, data integration, visualization, scalable computing, and domain-specific applications relevant to biomedicine. The intent is to complement and enhance existing training pathways, filling gaps where standard degree programs or lab-based apprenticeships may not provide enough dedicated instruction in modern data-intensive methods.

Financially, the opportunity lists an estimated total funding amount of $700,000, with an award ceiling of $150,000. This implies multiple awards may be made depending on NIH priorities and application quality. There is no cost sharing or matching requirement, which reduces barriers for institutions that may not have discretionary funds to contribute. The funding instrument is a grant, and the activity category is listed under education, spanning multiple public interest domains (health, environment, nutrition, income security and social services), reflecting the cross-cutting relevance of biomedical data science skills to many research and public health problems.

Eligibility is broad across U.S.-based organizations that can credibly develop and deliver educational programming. Eligible applicants include public and state-controlled institutions of higher education, private institutions of higher education, and nonprofit organizations (including both 501(c)(3) nonprofits and certain nonprofits without 501(c)(3) status, excluding higher education institutions where specified). The eligibility section explicitly includes several institution types that NIH often highlights to encourage inclusive capacity-building, such as Historically Black Colleges and Universities (HBCUs), Hispanic-Serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, and Asian American Native American Pacific Islander Serving Institutions (AANAPISIs). At the same time, the announcement is clear that foreign institutions are not eligible to apply, and foreign components are not allowed. Non-U.S. components of U.S. organizations are also not eligible, consistent with NIH policy constraints for many education-focused programs.

The opportunity was posted on January 16, 2014, with key dates indicating it was active during that period and later archived. The original closing date is listed as April 1, 2016, while a current closing date is shown as September 18, 2015, and the archive date is October 18, 2015. Those dates suggest the solicitation is no longer open, but it remains useful as a reference point for institutions planning similar education proposals or tracking NIH priorities in biomedical data science training.

Administratively, the agency is the National Institutes of Health, and the opportunity is linked to a wide range of CFDA numbers across NIH institutes and centers, signaling broad NIH-wide relevance rather than being confined to a single disease area. For applicants and interested parties who need the full details, NIH points to the official announcement page (http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-008.html). For technical access issues, the contact is the NIH Office of Extramural Research (OER) webmaster at FBOWebmaster@OD.NIH.GOV, which is a standard support contact for navigating or accessing the electronic posting.

Overall, this grant opportunity is best understood as NIH support for practical, teachable, and scalable short-course training that helps current and future researchers handle the realities of modern biomedical big data, with a strong emphasis on education design, skill acquisition, and expanding the national capacity to conduct data-driven biomedical research.

Frequently Asked Questions (FAQs)

What is the name of this NIH funding opportunity?

The opportunity is titled "Courses for Skills Development in Biomedical Big Data Science (R25)."

What is the Funding Opportunity Number (FON)?

The Funding Opportunity Number is RFA-HG-14-008.

Which agency offers this grant?

The grant is offered by the National Institutes of Health (NIH).

What type of program is this (grant mechanism/activity type)?

This is an NIH Research Education Program (R25). The funding instrument is a grant, and the activity category is education.

What is the main purpose of this opportunity?

The purpose is to strengthen the biomedical research workforce by supporting targeted educational activities in biomedical big data science, particularly through short, skills-focused courses that build practical competencies for working with large and complex biomedical, behavioral, and clinical datasets.

Is this opportunity meant to fund traditional hypothesis-driven research?

No. The emphasis is workforce development through education rather than traditional hypothesis-driven research. The focus is on curriculum design, instructional quality, and measurable training outcomes (for example, improved participant skills and dissemination of course materials or models).

What kinds of educational activities does NIH intend to support?

The opportunity is framed around creating and delivering short, skills-focused courses that help researchers and trainees gain competencies needed for modern data-intensive biomedical research.

How does this relate to the NIH BD2K initiative?

This opportunity is part of NIH's Big Data to Knowledge (BD2K) initiative, reflecting NIH's broader goal of ensuring the research community can keep pace with rapidly expanding data generation and the associated analytical, computational, and statistical challenges.

What topics might a course cover under this opportunity?

While the summary does not list required topics, the title and BD2K framing indicate training may include areas such as data management and stewardship, reproducible analysis practices, computational methods, statistics and machine learning, data integration, data visualization, scalable computing, and domain-specific applications relevant to biomedicine.

Is the goal to replace existing degree programs or lab training?

No. The intent is to complement and enhance existing training pathways by filling gaps where standard degree programs or lab-based apprenticeships may not provide enough dedicated instruction in modern data-intensive methods.

How much total funding is estimated for this opportunity?

The estimated total funding amount listed is $700,000.

What is the maximum award amount (award ceiling)?

The award ceiling is $150,000.

Does the funding level suggest multiple awards may be made?

Yes. With an estimated total of $700,000 and an award ceiling of $150,000, it implies multiple awards may be made depending on NIH priorities and application quality.

Is cost sharing or matching required?

No. There is no cost sharing or matching requirement listed.

Who is eligible to apply?

Eligibility is broad across U.S.-based organizations that can credibly develop and deliver educational programming. Eligible applicants include public and state-controlled institutions of higher education, private institutions of higher education, and nonprofit organizations (including 501(c)(3) nonprofits and certain nonprofits without 501(c)(3) status, excluding higher education institutions where specified).

Are minority-serving institutions explicitly included in eligibility?

Yes. The eligibility section explicitly includes institution types such as Historically Black Colleges and Universities (HBCUs), Hispanic-Serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, and Asian American Native American Pacific Islander Serving Institutions (AANAPISIs).

Are foreign institutions eligible to apply?

No. Foreign institutions are not eligible to apply.

Are foreign components allowed?

No. Foreign components are not allowed.

Are non-U.S. components of U.S. organizations eligible?

No. Non-U.S. components of U.S. organizations are not eligible.

When was this opportunity posted?

The opportunity was posted on January 16, 2014.

Is this funding opportunity still open?

Based on the dates provided, it appears to be no longer open. The information notes it was active during the original period and later archived.

What dates indicate the opportunity is archived/closed?

The original closing date is listed as April 1, 2016, a current closing date is shown as September 18, 2015, and the archive date is October 18, 2015. Together, these dates suggest the solicitation is no longer open.

Why is the activity category described as spanning multiple public interest domains?

The activity category is listed under education and spans multiple domains (health, environment, nutrition, income security and social services), reflecting that biomedical data science skills can be applied across many research and public health problem areas.

What do the CFDA numbers indicate for this opportunity?

The opportunity is linked to a wide range of CFDA numbers across NIH institutes and centers, signaling broad NIH-wide relevance rather than being limited to a single disease area.

Where can applicants find the official NIH announcement page?

The official announcement is available at http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-008.html.

Who should be contacted for technical access issues with the posting?

For technical access issues, NIH points to the NIH Office of Extramural Research (OER) webmaster at FBOWebmaster@OD.NIH.GOV.

In one sentence, how should this opportunity be understood?

It is NIH support for practical, teachable, and scalable short-course training designed to improve biomedical big data competencies, emphasizing education design, skill acquisition, and expanding national capacity for data-driven biomedical research.

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