Opportunity Information: Apply for PAR 06 211
Apply for PAR 06 211
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "NIDCR Small Research Grants for Data Analysis and Statistical Methodology (R03)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.121 Oral Diseases and Disorders Research.
- This funding opportunity was created on Dec 5, 2008 and posted on Mar 3, 2006.
- Applicants must submit their applications by May 7, 2009 Multiple Receipt Dates See Link to Full Announcement for details.. (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 $100,000.00 in funding.
- Eligible applicants include: Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education State governments Native American tribal organizations (other than Federally recognized tribal governments) County governments City or township governments Others (see text field entitled Additional Information on Eligibility for clarification) Private institutions of higher education Native American tribal governments (Federally recognized) Public and State controlled institutions of higher education Public housing authorities/Indian housing authorities For profit organizations other than small businesses Independent school districts Special district governments Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education.
- Foreign institutions are eligible to apply. Eligible agencies of the Federal Government are eligible to apply.
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Opportunity Summary:
The NIDCR Small Research Grants for Data Analysis and Statistical Methodology (R03) funding opportunity (PAR 06-211) is a National Institutes of Health (NIH) discretionary grant program designed to support smaller, well-focused research projects that rely on existing data resources in the dental, oral, and craniofacial fields. The core purpose of the announcement is to fund meritorious projects that do not require new primary data collection, but instead advance knowledge by conducting secondary analyses of already-available datasets or by developing, refining, or applying statistical methods that can improve how dental and craniofacial data are interpreted. In practical terms, the FOA targets research that can generate meaningful scientific insights efficiently by making better use of established database resources and by strengthening the methodological toolbox used in oral health research.
This opportunity falls under the NIH activity category focused on health and is associated with CFDA number 93.121 (Oral Diseases and Disorders Research). It uses the R03 mechanism, which is typically intended for pilot work, discrete projects, or narrowly scoped studies that can be completed with limited resources compared with larger NIH awards. The listed award ceiling is $100,000, emphasizing that proposed projects should be carefully scoped, methodologically sound, and feasible within a small-grant budget. The announcement also specifies that there is no cost sharing or matching requirement, meaning applicants are not required to contribute institutional or third-party funds as a condition of receiving an award.
The FOA was originally posted on March 3, 2006, and it operated with multiple receipt dates, with the final listed closing date of May 7, 2009, and an archive date of June 7, 2009. While these dates indicate the specific historical window for this particular announcement, the description captures a broader NIH interest that often continues through later, updated announcements: encouraging rigorous secondary data analysis and improved statistical methodology in oral and craniofacial research, especially when strong data resources already exist.
Eligibility for this grant was broad and included many types of organizations. Eligible applicants included public and private institutions of higher education; nonprofit organizations (including those with 501(c)(3) status and certain nonprofits without 501(c)(3) status); for-profit organizations other than small businesses; state, county, city, township, special district, and independent school district governments; public housing authorities and Indian housing authorities; and tribal governments and tribal organizations (including federally recognized tribal governments). The eligibility section further notes that foreign institutions could apply, and eligible agencies of the U.S. Federal Government were also permitted to apply. This wide eligibility reflects NIH’s goal of attracting strong analytic and methodological proposals wherever the relevant expertise and access to suitable datasets exist, including outside the United States.
Administratively, the sponsoring agency is the National Institutes of Health, with the opportunity specifically tied to the National Institute of Dental and Craniofacial Research (NIDCR). Applicants were directed to the full announcement for complete details and requirements via the NIH Grants Guide link: http://grants.nih.gov/grants/guide/pa-files/PAR-06-211.html. For technical issues accessing the announcement or problems with linking, the contact provided is the NIH Office of Extramural Research (OER) Webmaster at FBOWebmaster@OD.NIH.GOV.
Frequently Asked Questions (FAQs)
What is the NIDCR Small Research Grants for Data Analysis and Statistical Methodology (R03) opportunity?
It is a National Institutes of Health (NIH) discretionary grant funding opportunity from the National Institute of Dental and Craniofacial Research (NIDCR) designed to support small, well-focused research projects in the dental, oral, and craniofacial fields that use existing data resources or advance statistical methodology for analyzing those data.
What is the funding opportunity announcement (FOA) number?
The FOA is PAR 06-211.
What type of grant mechanism does this program use?
This opportunity uses the NIH R03 mechanism, which is typically intended for pilot work, discrete projects, or narrowly scoped studies that can be completed with limited resources compared with larger NIH awards.
What kinds of projects are the main focus of this FOA?
The announcement focuses on projects that (1) conduct secondary analyses of already-available datasets relevant to dental, oral, and craniofacial research, and/or (2) develop, refine, or apply statistical methods that improve how dental and craniofacial data are interpreted.
Does this FOA support collecting new primary data?
No. The core purpose is to fund meritorious projects that do not require new primary data collection, relying instead on existing data resources or methodological advances for analyzing such data.
What scientific areas does this opportunity cover?
It targets research in the dental, oral, and craniofacial fields, with an emphasis on efficient knowledge generation through secondary data analysis and improved statistical methodology.
What is the maximum award amount (award ceiling)?
The listed award ceiling is $100,000, indicating projects should be carefully scoped and feasible within a small-grant budget.
Is cost sharing or matching required?
No. The FOA specifies there is no cost sharing or matching requirement, meaning applicants are not required to contribute institutional or third-party funds as a condition of receiving an award.
Which federal agency sponsors this opportunity?
The sponsoring agency is the National Institutes of Health (NIH), and the opportunity is specifically tied to the National Institute of Dental and Craniofacial Research (NIDCR).
What is the CFDA number associated with this opportunity?
This opportunity is associated with CFDA 93.121 (Oral Diseases and Disorders Research).
When was this FOA originally posted?
The FOA was originally posted on March 3, 2006.
What were the application receipt dates and closing date?
The opportunity operated with multiple receipt dates, with the final listed closing date of May 7, 2009.
When was the FOA archived?
The archive date is June 7, 2009.
Does the description suggest an ongoing NIH interest in this type of research?
Yes. While the listed dates reflect the historical window for this specific announcement, the description notes a broader NIH interest that often continues through later, updated announcements supporting rigorous secondary data analysis and improved statistical methodology in oral and craniofacial research.
Who is eligible to apply?
Eligibility is broad and includes public and private institutions of higher education; nonprofit organizations (including 501(c)(3) and certain nonprofits without 501(c)(3) status); for-profit organizations other than small businesses; state and local government entities (including county, city, township, special district, and independent school districts); public housing authorities and Indian housing authorities; tribal governments and tribal organizations (including federally recognized tribal governments); foreign institutions; and eligible agencies of the U.S. Federal Government.
Are foreign institutions allowed to apply?
Yes. The eligibility section states that foreign institutions could apply.
Can U.S. Federal Government agencies apply?
Yes. The eligibility information states that eligible agencies of the U.S. Federal Government were permitted to apply.
Where can applicants find the full FOA details?
Applicants were directed to the NIH Grants Guide announcement page at: http://grants.nih.gov/grants/guide/pa-files/PAR-06-211.html.
Who should be contacted for technical issues accessing the announcement or problems with linking?
The contact listed for technical issues is the NIH Office of Extramural Research (OER) Webmaster at FBOWebmaster@OD.NIH.GOV.
What is the overall purpose of funding secondary analysis and statistical methodology work under this FOA?
The FOA aims to generate meaningful scientific insights efficiently by making better use of established database resources and strengthening the statistical and methodological approaches used to interpret dental, oral, and craniofacial data.
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