Opportunity Information: Apply for PAR 09 220
Apply for PAR 09 220
- The National Institutes of Health in the education health sector is offering a public funding opportunity titled "Innovations in Biomedical Computational Science and Technology Initiative (SBIR R43/R44)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.172 Human Genome Research 93.173 Research Related to Deafness and Communication Disorders 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 93.389 National Center for Research Resources 93.396 Cancer Biology Research 93.839 Blood Diseases and Resources Research 93.853 Extramural Research Programs in the Neurosciences and Neurological Disorders 93.855 Allergy, Immunology and Transplantation Research 93.859 Biomedical Research and Research Training 93.866 Aging Research 93.867 Vision Research 93.879 Medical Library Assistance.
- This funding opportunity was created on Aug 22, 2012 and posted on Aug 5, 2009.
- Applicants must submit their applications by Sep 7, 2013. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Eligible applicants include: Small businesses.
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Opportunity Summary:
The Innovations in Biomedical Computational Science and Technology Initiative (SBIR R43/R44), Funding Opportunity Number PAR 09 220, is a National Institutes of Health (NIH) grant opportunity aimed specifically at small business concerns that want to build new or improved computational tools that can accelerate biomedical research. The core idea behind the announcement is that modern biomedical science is increasingly limited not just by experiments, but by the ability to organize, manage, analyze, and interpret massive and complex datasets, and by the ability to represent biological systems with meaningful computational models. NIH is seeking SBIR projects that use the power of computing to move research faster, make data more usable, and enable better modeling and simulation of biological processes.
The scientific scope is broad but clearly centered on biomedical informatics and computational biology, including both practical software infrastructure and more research-oriented computational methods. On the informatics and technology side, the FOA highlights areas such as database design; user-facing graphical interfaces; improved methods for querying and searching; data retrieval approaches; data visualization, manipulation, and interactive exploration; and strategies for integrating data across sources. It also emphasizes development of integrated analytical tools that let researchers combine datasets and analyses in more seamless ways, along with tools that support electronic collaboration (for example, platforms that help distributed teams share data, workflows, results, and annotations). On the computational research side, the announcement explicitly includes building and advancing computational models and simulations, including structural, functional, integrative, and analytical models, meaning that both mechanistic and data-driven approaches may be responsive as long as they meaningfully support biomedical discovery.
This FOA uses the SBIR grant mechanisms R43/R44, which are structured to support small businesses from early feasibility work through more advanced development and validation. Applicants may propose Phase I projects (early-stage proof-of-concept and feasibility), Phase II projects (expanded development, refinement, and demonstration of capability), or Fast Track applications that combine Phase I and Phase II into a single coordinated submission. In practical terms, NIH is encouraging projects that can move from an initial idea to a usable tool, platform, or computational capability with a clear path toward serving the biomedical research community.
The opportunity is categorized as a discretionary grant in the education and health activity area and is tied to a wide range of NIH CFDA program areas, reflecting the cross-cutting nature of biomedical computing. Listed CFDAs span fields such as human genome research, cancer biology, neuroscience, aging, vision research, allergy and immunology, alcohol and drug abuse research, blood diseases, and research resources, among others. That breadth signals that NIH views computational science and technology as enabling infrastructure that can impact many disease areas and basic science domains, rather than being confined to one institute or one type of biology.
Eligibility is limited to small businesses, consistent with SBIR rules, and there is no cost sharing or matching requirement. The announcement was originally posted August 5, 2009, with an original closing date of September 7, 2012, a current closing date of September 7, 2013, and an archive date of October 8, 2013, meaning it was active during that window and then archived. The FOA also notes that it runs in parallel with a closely related STTR opportunity (PAR 09 221, using R41/R42 mechanisms) that has identical scientific scope but is designed for small business-academic/nonprofit partnerships under STTR rules. In addition, NIH points to related opportunities with similar scientific scope for academic and other non-small business applicants, including an R21 high risk/high reward FOA (PAR 09 219) and an R01 regular research FOA (PAR 09 218). Together, these parallel announcements show NIH was trying to stimulate innovation in biomedical computing across multiple funding mechanisms while keeping the scientific priorities aligned.
For applicants looking to confirm details or view the full announcement, NIH provided the official FOA link at http://grants.nih.gov/grants/guide/pa-files/PAR-09-220.html and included NIH Office of Extramural Research webmaster contact information for access or technical linking issues.
Frequently Asked Questions (FAQs)
What is the Innovations in Biomedical Computational Science and Technology Initiative (SBIR R43/R44)?
It is an NIH Small Business Innovation Research (SBIR) funding opportunity that supports small businesses developing new or improved computational tools and technologies that can accelerate biomedical research. The focus is on helping researchers better organize, manage, analyze, and interpret large and complex biomedical datasets, and on improving computational modeling and simulation of biological systems.
What is the Funding Opportunity Number (FOA) for this announcement?
The Funding Opportunity Number is PAR-09-220.
Who is the funding agency for PAR-09-220?
The funding agency is the National Institutes of Health (NIH).
Who is eligible to apply?
Eligibility is limited to small business concerns, consistent with SBIR rules.
Is cost sharing or matching required?
No. The opportunity states there is no cost sharing or matching requirement.
What kinds of projects is NIH looking to fund under this FOA?
NIH is looking to fund SBIR projects that use computing to speed biomedical research by making data more usable and enabling better modeling and simulation. The scope is broad but centered on biomedical informatics and computational biology, including practical software infrastructure as well as more research-oriented computational methods.
What informatics and software technology areas are specifically highlighted?
The FOA highlights a range of informatics and technology topics, including database design, user-facing graphical interfaces, improved methods for querying and searching, data retrieval approaches, data visualization, data manipulation, interactive exploration of data, and strategies for integrating data across multiple sources.
Does the FOA support tools that combine datasets and analyses?
Yes. It emphasizes development of integrated analytical tools that allow researchers to combine datasets and analyses in more seamless ways.
Does the FOA support electronic collaboration tools?
Yes. It explicitly mentions tools that support electronic collaboration, such as platforms that help distributed teams share data, workflows, results, and annotations.
Are computational models and simulations within scope?
Yes. The FOA includes building and advancing computational models and simulations, including structural, functional, integrative, and analytical models. Both mechanistic and data-driven approaches may be responsive if they meaningfully support biomedical discovery.
What SBIR mechanisms are used in this opportunity?
This FOA uses the SBIR grant mechanisms R43/R44.
What project phases can applicants propose?
Applicants may propose Phase I projects (early-stage proof-of-concept and feasibility), Phase II projects (expanded development, refinement, and demonstration of capability), or a Fast Track application that combines Phase I and Phase II into a single coordinated submission.
What is the practical intent behind Phase I, Phase II, and Fast Track for this FOA?
NIH is encouraging projects that can move from an initial idea to a usable tool, platform, or computational capability with a clear path toward serving the biomedical research community, using the SBIR structure to support progress from feasibility through more advanced development and validation.
How broad is the scientific and disease-area scope?
The FOA is described as cross-cutting and tied to a wide range of NIH CFDA program areas. The listed CFDAs span many fields, including human genome research, cancer biology, neuroscience, aging, vision research, allergy and immunology, alcohol and drug abuse research, blood diseases, and research resources, among others. This signals the initiative is intended as enabling computational infrastructure that can impact many domains, not just one disease area.
How is this opportunity categorized?
It is categorized as a discretionary grant in the education and health activity area.
When was this FOA posted, and what were the key dates?
The announcement was originally posted on August 5, 2009. The original closing date was September 7, 2012. The current closing date listed is September 7, 2013. The archive date is October 8, 2013, indicating it was active during that window and then archived.
Is this FOA still open for applications?
Based on the information provided, the FOA has an archive date of October 8, 2013, which indicates it was archived after the listed closing date window.
Is there a related STTR opportunity with the same scientific scope?
Yes. NIH notes a closely related STTR opportunity, PAR-09-221, that has identical scientific scope but uses STTR mechanisms (R41/R42) and is designed for small business-academic/nonprofit partnerships under STTR rules.
Are there related NIH opportunities for applicants who are not small businesses?
Yes. NIH points to related opportunities with similar scientific scope for academic and other non-small business applicants, including an R21 FOA (PAR-09-219) and an R01 FOA (PAR-09-218).
Where can applicants view the official FOA announcement?
The official FOA link provided is http://grants.nih.gov/grants/guide/pa-files/PAR-09-220.html.
Who is listed as a contact for access or technical linking issues?
The FOA includes NIH Office of Extramural Research webmaster contact information for access or technical linking issues (as referenced in the opportunity description).
Browse more opportunities from the same agency: National Institutes of Health
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Next opportunity: Innovations in Biomedical Computational Science and Technology Initiative (STTR R41/R42)
Previous opportunity: Innovations in Biomedical Computational Science and Technology (R01)
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Applicants also applied for:
Applicants who have applied for this opportunity (PAR 09 220) also looked into and applied for these:
| Funding Opportunity |
|---|
| Innovations in Biomedical Computational Science and Technology Initiative (STTR R41/R42) Apply for PAR 09 221 Funding Number: PAR 09 221 Agency: National Institutes of Health Category: Education Health Funding Amount: Case Dependent |
| Optimization of Small Molecule Probes for the Nervous System (R21) Apply for PAR 09 251 Funding Number: PAR 09 251 Agency: National Institutes of Health Category: Education Health Funding Amount: $150,000 |
| Image guided Drug Delivery in Cancer (R01) Apply for PA 09 253 Funding Number: PA 09 253 Agency: National Institutes of Health Category: Education Health Funding Amount: Case Dependent |
| The Biology of Estrogen Receptor Negative Breast Cancer in Various Racial and Ethnic Groups (U01) Apply for RFA CA 09 026 Funding Number: RFA CA 09 026 Agency: National Institutes of Health Category: Education Health Funding Amount: $667,000 |
| Nutrition and Physical Activity Research to Promote Cardiovascular and Pulmonary Health (R01) Apply for PA 09 243 Funding Number: PA 09 243 Agency: National Institutes of Health Category: Education Health Funding Amount: Case Dependent |
| Nutrition and Physical Activity Research to Promote Cardiovascular and Pulmonary Health (R21) Apply for PA 09 244 Funding Number: PA 09 244 Agency: National Institutes of Health Category: Education Health Funding Amount: $200,000 |
| Optimization of Small Molecule Probes for the Nervous System (STTR R41) Apply for PAR 09 259 Funding Number: PAR 09 259 Agency: National Institutes of Health Category: Education Health Funding Amount: $150,000 |
| Optimization of Small Molecule Probes for the Nervous System (SBIR R43) Apply for PAR 09 260 Funding Number: PAR 09 260 Agency: National Institutes of Health Category: Education Health Funding Amount: $150,000 |
| Institutional Clinical and Translational Science Award (U54) Apply for RFA RM 09 019 Funding Number: RFA RM 09 019 Agency: National Institutes of Health Category: Education Health Funding Amount: Case Dependent |
| Limited Competition for Research Centers in Minority Institutions Infrastructure for Clinical and Translational Research (RCTR) U54 Apply for PAR 09 261 Funding Number: PAR 09 261 Agency: National Institutes of Health Category: Education Health Funding Amount: Case Dependent |
| Exploring Epigenomic Processes and Non Coding RNAs in HIV/AIDS (R01) Apply for RFA DA 10 010 Funding Number: RFA DA 10 010 Agency: National Institutes of Health Category: Education Health Funding Amount: $750,000 |
| Exploring Epigenomic Processes and Non Coding RNAs in HIV/AIDS (R21) Apply for RFA DA 10 011 Funding Number: RFA DA 10 011 Agency: National Institutes of Health Category: Education Health Funding Amount: $200,000 |
| Targeted Library Synthesis and Screening at Novel Targets for Potential Drug Addiction Treatments and Research Tools (R21/R33) Apply for RFA DA 10 005 Funding Number: RFA DA 10 005 Agency: National Institutes of Health Category: Education Health Funding Amount: $250,000 |
| Exceptional, Unconventional Research Enabling Knowledge Acceleration (EUREKA) (R01) Apply for RFA GM 10 009 Funding Number: RFA GM 10 009 Agency: National Institutes of Health Category: Education Health Funding Amount: $250,000 |
| Developing Research Capacity in Africa for Studies on HIV Associated Malignancies (D43) Apply for RFA CA 09 016 Funding Number: RFA CA 09 016 Agency: National Institutes of Health Category: Education Health Funding Amount: $500,000 |
| Medications Development for Cannabis Related Disorders (R01) Apply for RFA DA 10 016 Funding Number: RFA DA 10 016 Agency: National Institutes of Health Category: Education Health Funding Amount: $500,000 |
| Specialized Programs of Research Excellence (SPOREs) in Human Cancer for Years 2010, 2011 and 2012 (P50) Apply for PAR 10 003 Funding Number: PAR 10 003 Agency: National Institutes of Health Category: Education Health Funding Amount: Case Dependent |
| Drug Discovery for Nervous System Disorders (R21) Apply for PAR 10 002 Funding Number: PAR 10 002 Agency: National Institutes of Health Category: Education Health Funding Amount: $200,000 |
| Drug Discovery for Nervous System Disorders (R01) Apply for PAR 10 001 Funding Number: PAR 10 001 Agency: National Institutes of Health Category: Education Health Funding Amount: $250,000 |
| Community Networks Program (CNP) Centers for Reducing Cancer Disparities through Outreach, Research and Training (U54) Apply for RFA CA 09 032 Funding Number: RFA CA 09 032 Agency: National Institutes of Health Category: Education Health Funding Amount: $900,000 |
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