Opportunity Information: Apply for PA 14 155
Apply for PA 14 155
- The National Institutes of Health in the education environment health income security and social services sector is offering a public funding opportunity titled "Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science (R01)" 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 93.273 Alcohol Research Programs 93.279 Drug Abuse and Addiction Research Programs 93.286 Discovery and Applied Research for Technological Innovations to Improve Human Health 93.361 Nursing Research 93.393 Cancer Cause and Prevention Research 93.394 Cancer Detection and Diagnosis Research 93.395 Cancer Treatment Research 93.396 Cancer Biology Research 93.399 Cancer Control 93.846 Arthritis, Musculoskeletal and Skin Diseases Research 93.859 Biomedical Research and Research Training 93.865 Child Health and Human Development Extramural Research.
- This funding opportunity was created on Mar 24, 2014 and posted on Mar 14, 2014.
- Applicants must submit their applications by May 7, 2017. (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: Native American tribal governments (Federally recognized) Independent school districts Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education 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 For profit organizations other than small businesses Special district governments Public and State controlled institutions of higher education City or township governments Small businesses Private institutions of higher education State governments County governments Public housing authorities/Indian housing authorities 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) Eligible Agencies of the Federal Government Faith based or Community based Organizations Hispanic serving Institutions Historically Black Colleges and Universities (HBCUs) Indian/Native American Tribal Governments (Other than Federally Recognized) Non domestic (non U.S.) Entities (Foreign Organizations) Regional Organizations Tribally Controlled Colleges and Universities (TCCUs) U.S. Territory or Possession Non domestic (non U.S.) Entities (Foreign Institutions) are eligible to apply. Non domestic (non U.S.) components of U.S. Organizations are eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are allowed.
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Opportunity Summary:
The NIH grant opportunity PA 14-155, titled "Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science (R01)," supports research projects that create and mature new technologies for biomedical computing and data-driven science. The central idea is to fund early, enabling work that can accelerate biomedical and behavioral research across many disease areas and organ systems, rather than focusing narrowly on one clinical domain. Projects are expected to be motivated by real biomedical or behavioral research needs, using those needs as the context that shapes the technology being developed. In practice, this means the NIH is looking for foundational methods and tool-building efforts that, once created, can be broadly useful to the wider research community and align with the interests of many NIH Institutes and Centers.
The scientific scope is intentionally broad, emphasizing the development of software, tools, and related resources, along with the underlying methodological research required to make those products possible. The opportunity highlights several major themes: building collaborative computational environments that help teams work together more effectively; improving data integration so that different kinds of biomedical data can be combined and made more useful; advancing analysis and modeling methodologies for extracting meaning from complex information; and creating novel computer science and statistical approaches that address modern biomedical research challenges. A key driver for this program is the growing availability of large, complex datasets, which creates new opportunities but also demands new algorithms, infrastructures, and analytic strategies that can handle scale, heterogeneity, and complexity.
This is an R01 mechanism, meaning it is designed for substantial, hypothesis-driven or technology-driven research programs that can produce impactful advances. While the opportunity is framed as "early stage development," it is not limited to small pilot efforts; it is meant to support the critical early work that takes a concept from promising idea to a usable technology or method, including iterative development and validation in relevant biomedical contexts. The technologies are expected to be enabling, meaning they remove bottlenecks or open up new ways of doing research, with potential applicability across a wide range of biomedical investigations rather than being tailored for a single narrow use case.
From an administrative standpoint, the funding instrument is a discretionary grant, and the program was posted March 14, 2014, created March 24, 2014, with an original and current closing date of May 7, 2017, and an archive date of June 7, 2017. The listed award ceiling is $300,000 (as provided in the source data). There is no cost sharing or matching requirement. The opportunity is associated with multiple CFDA numbers spanning diverse NIH mission areas, reflecting the cross-cutting nature of biomedical computing and informatics, including but not limited to environmental health, human genome research, substance use research, nursing research, cancer research across prevention through control, musculoskeletal and skin diseases, and child health and human development.
Eligibility is expansive and includes a wide range of U.S.-based and non-U.S. entities. Eligible applicants include federal recognized tribal governments and other tribal organizations, state and local governments (including counties, cities or townships, and special districts), public housing authorities, public and state controlled institutions of higher education, private institutions of higher education, independent school districts, nonprofits both with and without 501(c)(3) status (with the noted exception language tied to higher education), for-profit organizations (other than small businesses), and small businesses. The eligibility list also explicitly includes historically underrepresented and mission-focused institution types such as HBCUs, Hispanic-serving institutions, AANAPISISs, Alaska Native and Native Hawaiian serving institutions, and tribally controlled colleges and universities, along with faith-based and community-based organizations. Importantly, non-U.S. entities (foreign organizations and foreign institutions) are eligible to apply, non-U.S. components of U.S. organizations are eligible, and foreign components are allowed as defined by NIH policy, signaling that NIH anticipated and permitted international participation where appropriate for the proposed work.
Overall, PA 14-155 is aimed at strengthening the computational and data science foundation of biomedical research by funding early development of new methods and tools that help researchers manage, integrate, analyze, and model increasingly large and complex datasets, and that improve collaborative research workflows. The program is positioned as broadly relevant across NIH, with the expectation that funded outputs will have the potential to accelerate discovery in many biomedical and behavioral research areas rather than serving a single specialized niche. For full details, the announcement link is http://grants.nih.gov/grants/guide/pa-files/PA-14-155.html, and NIH provides technical assistance contacts through the NIH Office of Extramural Research webmaster (FBOWebmaster@OD.NIH.GOV) for access or linking issues.
FAQs: NIH PA-14-155 - Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science (R01)
What is NIH PA-14-155?
PA-14-155 is an NIH funding opportunity titled "Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science (R01)." It supports research projects that create and mature new technologies for biomedical computing and data-driven science, with an emphasis on broadly enabling tools and methods.
What is the primary goal of this opportunity?
The goal is to fund early, enabling work that can accelerate biomedical and behavioral research across many disease areas and organ systems. The focus is on foundational technology and method development that can be broadly useful to the wider research community, rather than narrowly targeting a single clinical domain.
What kinds of projects does the program aim to support?
The program aims to support the early stage development of software, tools, and related resources, along with the methodological research needed to make those products possible. Projects should take a concept from a promising idea toward a usable technology or method through iterative development and validation in relevant biomedical contexts.
Is this opportunity focused on one disease area or clinical domain?
No. The opportunity is intentionally broad. While projects are expected to be motivated by real biomedical or behavioral research needs, the resulting technology is expected to have applicability across a wide range of biomedical investigations rather than being tailored to a single narrow use case.
How should applicants use biomedical or behavioral research needs in their proposals?
Projects are expected to be motivated by real biomedical or behavioral research needs, and those needs should provide the context that shapes the technology being developed. In other words, the biomedical context is used to guide requirements, design, and validation, while still aiming for broadly enabling outcomes.
What are the main scientific themes highlighted in the announcement?
The opportunity highlights several major themes: (1) building collaborative computational environments that help teams work together more effectively; (2) improving data integration so different kinds of biomedical data can be combined and made more useful; (3) advancing analysis and modeling methodologies for extracting meaning from complex information; and (4) creating novel computer science and statistical approaches that address modern biomedical research challenges.
Why does this program emphasize big data and complex datasets?
A key driver is the growing availability of large, complex datasets. These datasets create new research opportunities but also demand new algorithms, infrastructures, and analytic strategies that can handle scale, heterogeneity, and complexity.
What does "early stage development" mean in this R01 context?
In this opportunity, "early stage development" refers to the critical early work that takes a concept from a promising idea to a usable technology or method. It includes iterative development and validation in relevant biomedical contexts and is not limited to small pilot efforts.
What does it mean that the technology should be "enabling"?
"Enabling" means the technology should remove bottlenecks or open new ways of doing research. The expectation is that funded outputs will have potential applicability across a wide range of biomedical and behavioral research areas and be useful beyond a single project or niche.
What funding mechanism is used for this opportunity?
This opportunity uses the NIH R01 mechanism, which is designed for substantial, hypothesis-driven or technology-driven research programs that can produce impactful advances.
What type of funding instrument is this?
The funding instrument is a discretionary grant.
What is the listed award ceiling for PA-14-155?
The listed award ceiling is $300,000 (as provided in the source data).
Is cost sharing or matching required?
No. There is no cost sharing or matching requirement listed for this opportunity.
When was this opportunity posted and created?
The opportunity was posted on March 14, 2014, and created on March 24, 2014.
What are the closing date and archive date?
The original and current closing date is May 7, 2017, and the archive date is June 7, 2017.
Does the opportunity indicate it is relevant across NIH?
Yes. The opportunity is positioned as broadly relevant across NIH, with the expectation that funded outputs align with the interests of multiple NIH Institutes and Centers.
What do the CFDA associations suggest about the program scope?
The opportunity is associated with multiple CFDA numbers spanning diverse NIH mission areas, reflecting the cross-cutting nature of biomedical computing and informatics. The listed areas include (among others) environmental health, human genome research, substance use research, nursing research, cancer research across prevention through control, musculoskeletal and skin diseases, and child health and human development.
Who is eligible to apply?
Eligibility is expansive and includes a wide range of U.S.-based and non-U.S. entities. Eligible applicants include federal recognized tribal governments and other tribal organizations; state and local governments (including counties, cities or townships, and special districts); public housing authorities; public and state controlled institutions of higher education; private institutions of higher education; independent school districts; nonprofits with and without 501(c)(3) status (with noted exception language tied to higher education); for-profit organizations (other than small businesses); and small businesses.
Are specific institution types explicitly included in the eligibility list?
Yes. The eligibility list explicitly includes historically underrepresented and mission-focused institution types such as HBCUs, Hispanic-serving institutions, AANAPISISs, Alaska Native and Native Hawaiian serving institutions, and tribally controlled colleges and universities, along with faith-based and community-based organizations.
Are non-U.S. (foreign) organizations eligible to apply?
Yes. Non-U.S. entities (foreign organizations and foreign institutions) are eligible to apply. Non-U.S. components of U.S. organizations are eligible, and foreign components are allowed as defined by NIH policy.
What kinds of research outputs are expected?
Expected outputs include software, tools, and related resources, plus the underlying methodological advances needed to support those outputs. The technologies are expected to be usable and broadly enabling for the research community.
Is the program limited to infrastructure, or does it include methods research too?
It includes both. The scope emphasizes tool and resource development as well as the underlying methodological research required to make those tools possible, including novel computer science and statistical approaches.
Where can applicants find the full funding announcement details?
The full announcement is available at: http://grants.nih.gov/grants/guide/pa-files/PA-14-155.html.
Who should be contacted for technical assistance with access or linking issues?
NIH provides technical assistance contacts through the NIH Office of Extramural Research webmaster for access or linking issues at FBOWebmaster@OD.NIH.GOV.
Browse more opportunities from the same category: Education Environment Health Income Security and Social Services
Next opportunity: Extended Development, Hardening and Dissemination of Technologies in Biomedical Computing, Informatics and Big Data Science (R01)
Previous opportunity: Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science (R43/R44)
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