Opportunity Information: Apply for RFA HD 17 004
Apply for RFA HD 17 004
- The HHS-NIH11 in the health, income security and social services sector is offering a public funding opportunity titled "Assessing Human Placental Development and Function Using Existing Data (R01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.865,.
- This funding opportunity was created on Feb 09, 2016 and posted on Feb 09, 2016.
- Applicants must submit their applications by Apr 06, 2016. (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 $500,000.00 in funding.
- 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:
Assessing Human Placental Development and Function Using Existing Data (R01) (RFA-HD-17-004) is a discretionary NIH grant opportunity from HHS (listed under the NIH component identified as HHS-NIH11) that supports research focused on understanding how the human placenta develops and functions throughout pregnancy. The central purpose of the announcement is to push progress in placental science by encouraging investigators to apply modern assessment and analytic approaches to data that already exist, rather than building entirely new cohorts or collecting brand-new primary data as the main starting point. In practical terms, the FOA is aimed at extracting more scientific value from previously collected placental, pregnancy, maternal, fetal, or related datasets by using appropriate technologies and methods to evaluate placental development and function across gestation.
The mechanism is an R01 research project grant, which typically supports a defined, hypothesis-driven or strongly objective-driven project led by a principal investigator with responsibility for the overall scientific direction. The announcement emphasizes evaluation "across pregnancy," meaning the intent is not limited to a single timepoint like delivery, but is oriented toward understanding trajectories, changes, or patterns in placental structure or function over the course of gestation when existing data can support that kind of analysis. Because the FOA explicitly highlights "assessment technologies" applied to "existing data," it signals interest in rigorous measurement strategies and analytic frameworks that can be brought to bear on datasets that may include clinical information, imaging, pathology, molecular profiles, physiological measures, or other placental-relevant assessments already collected in prior studies or clinical contexts.
Eligibility is broad and includes many types of organizations that commonly apply for NIH research funding. Eligible applicants span state, county, city/township, and special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments and other tribal organizations; public housing authorities/Indian housing authorities; nonprofit organizations with and without 501(c)(3) status (as long as they are not institutions of higher education in those categories); for-profit organizations other than small businesses; and small businesses. The opportunity is cataloged under CFDA numbers 93.865 (and also lists 93.865 again in the source line), which aligns it with NIH programs in this scientific domain.
From an administrative standpoint, the FOA was created and posted on February 9, 2016, with an application closing date of April 6, 2016 (the original and current closing date are the same). The listed award ceiling is $500,000, which indicates the upper limit presented in the opportunity summary for an individual award, and it also provides a signal about the expected scale of supported projects. The number of expected awards is not specified in the provided data, so applicants would typically look to the full FOA text (not included here) or NIH funding history to infer likely award volume.
Overall, this opportunity is best understood as a targeted research call to improve how the field characterizes human placental development and function by leveraging existing datasets and applying appropriate assessment technologies and analytical approaches. The emphasis on existing data suggests a focus on maximizing return on prior investments, enabling faster progress, and potentially supporting reproducible or comparative analyses that can be performed without the time and cost required to assemble entirely new pregnancy cohorts.
Frequently Asked Questions (FAQs)
What is the name of this grant opportunity?
The opportunity is titled Assessing Human Placental Development and Function Using Existing Data (R01), with the identifier RFA-HD-17-004.
Which agency is offering this funding?
This is an NIH grant opportunity from the U.S. Department of Health and Human Services (HHS), listed under the NIH component HHS-NIH11.
What type of grant mechanism is used?
The funding mechanism is an R01 research project grant, which typically supports a defined project led by a principal investigator responsible for the overall scientific direction.
What is the main purpose of the announcement?
The central purpose is to advance placental science by encouraging researchers to apply modern assessment technologies and analytic approaches to data that already exist, rather than primarily building new cohorts or collecting brand-new primary data.
What research topic or scientific focus does it support?
It supports research aimed at understanding how the human placenta develops and functions throughout pregnancy, with emphasis on characterizing placental development and function across gestation using existing datasets.
Does this opportunity prioritize new data collection or analysis of existing data?
It prioritizes analysis of existing data. The announcement specifically highlights applying assessment technologies and analytic methods to previously collected placental, pregnancy, maternal, fetal, or related datasets to extract more scientific value from prior data.
What does "using existing data" mean in practical terms for this FOA?
In practical terms, it means leveraging datasets that have already been collected (for example, from prior studies or clinical contexts) and applying appropriate technologies and analytic frameworks to evaluate placental development and function, rather than starting primarily from newly collected primary data.
What does the FOA mean by evaluating placental development and function "across pregnancy"?
The intent is oriented toward understanding trajectories, changes, or patterns over the course of gestation when existing data can support that kind of analysis. It is not limited to a single timepoint such as delivery.
What kinds of data does the opportunity suggest could be used?
The description indicates interest in using previously collected datasets that may include clinical information, imaging, pathology, molecular profiles, physiological measures, or other placental-relevant assessments already captured in prior research or clinical settings.
What kinds of methods or approaches are emphasized?
The announcement emphasizes modern assessment technologies and rigorous analytic approaches applied to existing data, signaling interest in strong measurement strategies and analytical frameworks appropriate to the available datasets.
Who is eligible to apply?
Eligibility is broad and includes many organization types, including:
- State governments
- County governments
- City or township governments
- Special district governments
- Independent school districts
- Public and state-controlled institutions of higher education
- Private institutions of higher education
- Federally recognized Native American tribal governments
- Other Native American tribal organizations
- Public housing authorities / Indian housing authorities
- Nonprofit organizations (with or without 501(c)(3) status), as long as they are not institutions of higher education in those categories
- For-profit organizations (other than small businesses)
- Small businesses
Are for-profit organizations allowed to apply?
Yes. The eligibility list includes for-profit organizations other than small businesses and also explicitly includes small businesses.
Are tribal governments and tribal organizations eligible?
Yes. The eligibility list includes federally recognized Native American tribal governments as well as other tribal organizations.
What is the CFDA number associated with this opportunity?
The opportunity is cataloged under CFDA 93.865 (listed as 93.865 in the provided information).
What is the award ceiling for this opportunity?
The listed award ceiling is $500,000, which is presented as the upper limit in the opportunity summary for an individual award.
How many awards will be made?
The number of expected awards is not specified in the provided information.
When was the FOA created and posted?
The FOA was created and posted on February 9, 2016.
What is the application due date?
The application closing date is April 6, 2016. The provided information indicates the original and current closing date are the same.
Is this a targeted call or a broad general research solicitation?
Based on the description provided, it is best understood as a targeted research call focused on improving how the field assesses and analyzes human placental development and function by leveraging existing datasets.
What is the practical rationale for focusing on existing datasets?
The emphasis on existing data suggests a goal of maximizing return on prior investments, enabling faster progress than assembling entirely new pregnancy cohorts, and supporting reproducible or comparative analyses that can be conducted without the time and cost of new primary data collection as the main starting point.
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