Opportunity Information: Apply for RFA LM 16 002
Apply for RFA LM 16 002
- The HHS-NIH11 in the education, environment, food and nutrition, health, income security and social services sector is offering a public funding opportunity titled "BD2K Predoctoral Training in Biomedical Big Data Science (T32)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.113, 93.121, 93.173, 93.213, 93.242, 93.273, 93.279, 93.286, 93.307, 93.310, 93.361, 93.398, 93.846, 93.847, 93.853, 93.855, 93.856, 93.865, 93.866, 93.867, 93.879,.
- This funding opportunity was created on May 09, 2016 and posted on May 09, 2016.
- Applicants must submit their applications by Jul 25, 2016. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The number of recipients for this funding is limited to 6 candidate(s).
- 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 (see text field entitled Additional Information on Eligibility for clarification).
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Opportunity Summary:
BD2K Predoctoral Training in Biomedical Big Data Science (T32) is a National Institutes of Health (NIH) institutional training grant opportunity designed to build and strengthen graduate-level training programs focused on biomedical big data science. The central goal is to develop a pipeline of predoctoral scientists who can create and apply computational, statistical, and other quantitative methods that help the biomedical research community handle data at modern scale. In practical terms, the program is aimed at preparing trainees to work with large, complex, and often high-dimensional biomedical datasets by developing new technologies, analytical approaches, and tools that enable researchers to extract meaningful scientific and clinical insights from rapidly growing data resources.
This opportunity is issued as a discretionary grant under the NIH T32 training mechanism, which typically supports structured, cohort-based training environments rather than funding individual fellowships. Under this FOA, applicant institutions propose an organized training program that brings together appropriate faculty expertise, a strong curriculum and mentoring plan, and a research training environment suited to big data challenges in biomedicine. The emphasis is on producing graduates who are not only capable users of existing methods, but who can also advance the field by designing novel computational and quantitative strategies for managing, integrating, analyzing, and interpreting biomedical data. The long-term expectation is that these trainees will contribute to the broader biomedical ecosystem by improving the way researchers leverage the increasing volume, variety, and complexity of biomedical data.
The sponsoring agency is the U.S. Department of Health and Human Services (HHS), National Institutes of Health, listed as HHS-NIH11. The funding opportunity number is RFA-LM-16-002, and the program title indicates alignment with the BD2K initiative (Big Data to Knowledge), which historically focused on enhancing the biomedical community's ability to use big data effectively. While the announcement includes multiple CFDA numbers (93.113, 93.121, 93.173, 93.213, 93.242, 93.273, 93.279, 93.286, 93.307, 93.310, 93.361, 93.398, 93.846, 93.847, 93.853, 93.855, 93.856, 93.865, 93.866, 93.867, 93.879), the overall theme is biomedical research training and infrastructure spanning several NIH institutes and centers that support relevant areas.
Eligibility is broad and includes many types of domestic organizations that can propose and host a formal training program. Eligible applicants listed in the opportunity include public and state-controlled institutions of higher education, private institutions of higher education, nonprofit organizations (with or without 501(c)(3) status, excluding institutions of higher education in those nonprofit categories), for-profit organizations (other than small businesses), small businesses, and a range of governmental entities such as state governments, county governments, city or township governments, special district governments, and independent school districts. The eligibility list also includes Native American tribal governments (federally recognized), Native American tribal organizations (other than federally recognized tribal governments), and public housing authorities/Indian housing authorities, along with an “Others” category referencing additional eligibility details in the full announcement. This wide eligibility reflects that big data science training capacity can exist in diverse organizational settings, although most T32-style programs are commonly administered by universities and academic medical centers with robust graduate education and research ecosystems.
In terms of timing and scale, the FOA was posted on May 9, 2016 (with the same creation date), and the application closing date was July 25, 2016. The opportunity anticipated making about six awards. The award ceiling is not specified in the provided source data, which usually means applicants would need to consult the full FOA text for budget caps, allowable costs, trainee numbers, and other financial constraints typical of NIH training grants (such as stipend levels, tuition/fees, trainee travel, and training-related expenses), as well as any program-specific limits.
Overall, this grant opportunity targets institutions that can mount a rigorous predoctoral training program in biomedical big data science, combining quantitative and computational training with meaningful biomedical research experiences. The intended outcome is a workforce of scientists equipped to push the boundaries of how biomedical data are collected, managed, integrated, analyzed, and translated into knowledge, ensuring that the biomedical community can fully capitalize on the continuing explosion of data across biology, medicine, and public health.
Frequently Asked Questions (FAQ)
What is the BD2K Predoctoral Training in Biomedical Big Data Science (T32) opportunity?
BD2K Predoctoral Training in Biomedical Big Data Science (T32) is an NIH institutional training grant opportunity intended to build and strengthen graduate-level (predoctoral) training programs focused on biomedical big data science. Its goal is to create a pipeline of scientists who can develop and apply computational, statistical, and other quantitative methods for working with modern biomedical data at scale.
What does "BD2K" refer to in this program?
BD2K refers to the Big Data to Knowledge initiative, which historically focused on improving the biomedical research community's ability to use big data effectively. This funding opportunity aligns with that theme by emphasizing training in methods and tools for extracting knowledge from rapidly growing biomedical data resources.
What is the funding mechanism used for this opportunity?
This opportunity uses the NIH T32 institutional training grant mechanism. T32 awards typically support organized, cohort-based training programs hosted by institutions rather than funding individual fellowships awarded directly to a single trainee.
Who is the sponsoring agency for this funding opportunity?
The sponsoring agency is the U.S. Department of Health and Human Services (HHS), National Institutes of Health (NIH), listed as HHS-NIH11.
What is the funding opportunity number?
The funding opportunity number is RFA-LM-16-002.
What is the primary purpose of the training program being proposed?
The primary purpose is to prepare predoctoral trainees to work effectively with large, complex, and often high-dimensional biomedical datasets. Programs are expected to train scientists who can both use existing quantitative and computational methods and advance the field by creating novel strategies and tools for managing, integrating, analyzing, and interpreting biomedical data.
What types of skills and methods are emphasized?
The opportunity emphasizes computational, statistical, and other quantitative methods used to handle biomedical data at modern scale. The aim includes developing new technologies, analytical approaches, and tools that enable meaningful scientific and clinical insights from complex biomedical data.
Is this grant meant to support individual students directly?
Based on the description, it is an institutional training grant intended to support a structured training environment at an applicant institution, rather than functioning as an individual fellowship awarded to a single student.
What is an applicant expected to propose under this FOA?
Applicant institutions are expected to propose an organized training program that includes appropriate faculty expertise, a strong curriculum, a mentoring plan, and a research training environment suited to big data challenges in biomedicine.
What kinds of institutions are eligible to apply?
Eligibility is broad and includes many types of domestic organizations that can propose and host a formal training program. Examples listed include public and state-controlled institutions of higher education, private institutions of higher education, nonprofit organizations (with or without 501(c)(3) status, excluding institutions of higher education in those nonprofit categories), for-profit organizations (other than small businesses), small businesses, and several government entity types.
Are government entities eligible applicants?
Yes. The eligibility list includes state governments, county governments, city or township governments, special district governments, and independent school districts.
Are tribal organizations included in the eligibility list?
Yes. The eligibility list includes Native American tribal governments (federally recognized) and Native American tribal organizations (other than federally recognized tribal governments).
Are public housing authorities eligible to apply?
Yes. The eligibility list includes public housing authorities and Indian housing authorities.
Does the opportunity mention any additional eligibility category?
Yes. The eligibility list includes an "Others" category that references additional eligibility details in the full announcement.
When was this funding opportunity posted?
The funding opportunity was posted on May 9, 2016 (and shows the same creation date).
What was the application closing date?
The application closing date was July 25, 2016.
How many awards were anticipated?
The opportunity anticipated making about six awards.
Is there an award ceiling listed in the provided information?
No. The award ceiling is not specified in the provided source data.
What kinds of budget details might require checking the full FOA?
Because the award ceiling is not specified here, applicants would typically need to consult the full FOA for budget caps, allowable costs, trainee numbers, and financial constraints commonly associated with NIH training grants (for example, stipend levels, tuition and fees, trainee travel, and training-related expenses), as well as any program-specific limits.
Why are multiple CFDA numbers associated with this opportunity?
The announcement includes multiple CFDA numbers spanning several NIH institutes and centers. Based on the description provided, the overall theme is biomedical research training and infrastructure across NIH components that support relevant areas.
What is the intended long-term outcome of this training program?
The intended long-term outcome is a workforce of scientists who improve how biomedical data are collected, managed, integrated, analyzed, and translated into knowledge, helping the biomedical community capitalize on the growing volume, variety, and complexity of data in biology, medicine, and public health.
What kind of training environment does this opportunity encourage?
It encourages a structured training environment with a strong curriculum and mentoring plan, supported by faculty expertise and a research training setting that is well-suited to addressing biomedical big data challenges.
What distinguishes the expected trainees from typical users of existing methods?
The opportunity emphasizes producing graduates who are not only capable users of existing methods, but who can also advance the field by designing novel computational and quantitative strategies for biomedical big data.
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Applicants who have applied for this opportunity (RFA LM 16 002) also looked into and applied for these:
| Funding Opportunity |
|---|
| BD2K Open Educational Resources for Skills Development in Biomedical Big Data Science (R25) Apply for RFA HG 16 016 Funding Number: RFA HG 16 016 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: $200,000 |
| Change of Grantee Organization (Type 7 Parent) Apply for PA 16 285 Funding Number: PA 16 285 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Successor-in-Interest (Type 6 Parent) Apply for PA 16 286 Funding Number: PA 16 286 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Research Supplements to Promote Diversity in Health-Related Research (Admin Supp) Apply for PA 16 288 Funding Number: PA 16 288 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Research Supplements to Promote Re-Entry into Biomedical and Behavioral Research Careers (Admin Supp) Apply for PA 16 289 Funding Number: PA 16 289 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| NIH Support for Conferences and Scientific Meetings (Parent R13) Apply for PA 16 294 Funding Number: PA 16 294 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| PHS 2016-02 Omnibus Solicitation of the NIH for Small Business Technology Transfer Grant Applications (Parent STTR [R41/R42]) Apply for PA 16 303 Funding Number: PA 16 303 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Ruth L. Kirschstein National Research Service Award (NRSA) Fellowship for Students at Institutions With NIH-Funded Institutional Predoctoral Dual-Degree Training Programs (Parent F30) Apply for PA 16 305 Funding Number: PA 16 305 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| PHS 2016-02 Omnibus Solicitation of the NIH, CDC, FDA and ACF for Small Business Innovation Research Grant Applications (Parent SBIR [R43/R44]) Apply for PA 16 302 Funding Number: PA 16 302 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Ruth L. Kirschstein National Research Service Award (NRSA) Fellowship for Students at Institutions Without NIH-Funded Institutional Predoctoral Dual-Degree Training Programs (Parent F30) Apply for PA 16 306 Funding Number: PA 16 306 Agency: HHS-NIH11 Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Big Data to Knowledge (BD2K) Community-based Data and Metadata Standards Efforts (R24) Apply for RFA ES 16 010 Funding Number: RFA ES 16 010 Agency: Department of Health and Human Services, National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: $250,000 |
| NIH Research Evaluation and Commercialization Hubs (REACH) Awards (U01 Clinical Trial Not Allowed) Apply for RFA OD 19 014 Funding Number: RFA OD 19 014 Agency: Department of Health and Human Services, National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: $1,000,000 |
| Lasker Clinical Research Scholars Program (Si2/R00 Clinical Trial Optional) Apply for PAR 19 262 Funding Number: PAR 19 262 Agency: Department of Health and Human Services, National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Lasker Clinical Research Scholars Program (Si2/R00 Clinical Trial Optional) Apply for PAR 20 167 Funding Number: PAR 20 167 Agency: Department of Health and Human Services, National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| Emergency Awards: RADx-rad Data Coordination Center (DCC) (U24 Clinical Trial Not Allowed) Apply for RFA OD 20 019 Funding Number: RFA OD 20 019 Agency: Department of Health and Human Services, National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: $4,000,000 |
| Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp) Apply for PA 16 287 Funding Number: PA 16 287 Agency: National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: Case Dependent |
| BD2K Research Education Curriculum Development: Data Science Overview for Biomedical Scientists (R25) Apply for RFA ES 16 011 Funding Number: RFA ES 16 011 Agency: National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: $100,000 |
| Big Data to Knowledge (BD2K) Enhancing the Efficiency and Effectiveness of Digital Curation for Biomedical Big Data (U01) Apply for RFA LM 17 001 Funding Number: RFA LM 17 001 Agency: National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: $350,000 |
| Support of Competitive Research (SCORE) Pilot Project Award (SC2) Apply for PAR 16 438 Funding Number: PAR 16 438 Agency: National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: $100,000 |
| BD2K Support for Meetings of Data Science Related Organizations (U13) Apply for RFA CA 16 020 Funding Number: RFA CA 16 020 Agency: National Institutes of Health Category: Education, Environment, Food and Nutrition, Health, Income Security and Social Services Funding Amount: $470,000 |
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