Opportunity Information: Apply for RFA SH 16 001
Apply for RFA SH 16 001
- The Centers for Disease Control and Prevention in the health sector is offering a public funding opportunity titled "Research and Methods in Health Statistics" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.061 Innovations in Applied Public Health Research.
- This funding opportunity was created on Jul 23, 2015 and posted on Jul 23, 2015.
- Applicants must submit their applications by Oct 7, 2015. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $600,000.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $100,000.00 in funding.
- The number of recipients for this funding is limited to 4 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
- 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 without 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) Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility The following types of Higher Education Institutions are always encouraged to apply for CDC support as Public or Private Institutions of Higher Education Hispanic serving Institutions Historically Black Colleges and Universities (HBCUs) Tribally Controlled Colleges and Universities (TCCUs) Alaska Native and Native Hawaiian Serving Institutions Nonprofits Other Than Institutions of Higher Education Nonprofits (Other than Institutions of Higher Education) Governments Eligible Agencies of the Federal Government U.S. Territory or Possession Other Native American tribal organizations (other than Federally recognized tribal governments) Faith based or Community based Organizations Regional Organizations Bona Fide Agents a Bona Fide Agent is an agency/organization identified by the state as eligible to submit an application under the state eligibility in lieu of a state application. If applying as a bona fide agent of a state or local government, a legal, binding agreement from the state or local government as documentation of the status is required. Attach with Other Attachment Forms when submitting via www.grants.gov. Federally Funded Research and Development Centers (FFRDCs) FFRDCs are operated, managed, and/or administered by a university or consortium of universities, other not for profit or nonprofit organization, or an industrial firm, as an autonomous organization or as an identifiable separate operating unit of a parent organization. A FFRDC meets some special long term research or development need which cannot be met as effectively by an agencys existing in house or contractor resources. FFRDCs enable agencies to use private sector resources to accomplish tasks that are integral to the mission and operation of the sponsoring agency. For more information on FFRDCs, go to http:// ecfr.gpoaccess.gov /cgi/t/text/ text idxcecfr sid512ff78311f427c00454772dcf21523argndiv8 viewtextnode481.0.1.6.34.0.1.18 idno48
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Opportunity Summary:
The Centers for Disease Control and Prevention (CDC), through the National Center for Health Statistics (NCHS), offered this discretionary grant opportunity titled Research and Methods in Health Statistics (Funding Opportunity Number RFA-SH-16-001). The program is designed for investigator-initiated projects that build, refine, and test statistical methods and survey methodologies used to collect, analyze, and report health survey data and vital records. A key feature of the announcement is that applicants can use existing NCHS datasets either by themselves or linked with other data sources to evaluate new approaches to survey operations, statistical analysis, and the communication or visualization of results. The opportunity also explicitly welcomes stand-alone methods projects that improve how health data are collected, analyzed, protected, or displayed.
The award mechanism is an R03 small grant, meaning it is meant for smaller, tightly scoped studies that can be completed relatively quickly with modest resources. The announcement highlights several project types that fit this format, including secondary analyses of existing datasets, self-contained methodological research, pilot and feasibility studies, development and testing of new statistical or survey methods, and development and testing of new survey technologies. In practical terms, the program is aimed at helping the public health community keep pace with real-world data challenges while producing methods that can be used by NCHS and other health researchers.
The motivation behind the funding is the set of ongoing pressures facing health surveys and vital statistics systems. The announcement points to declining survey response rates and the resulting risk of nonresponse bias, rising confidentiality concerns that can reduce participation or change reporting behavior, and the rapid spread of new technologies for data collection that may bring speed and convenience but also raise questions about validity and reliability. It also notes growing interest in rapid data coming from nontraditional sources (such as web activity or transaction data), while emphasizing the need to understand the accuracy and interpretability of those sources before relying on them. Because new data collection is expensive and slow, the program encourages work that links datasets to get more value from what already exists. It also flags long-standing measurement issues, such as the accuracy of self-reported information, and newer opportunities like collecting biomarkers in surveys, which create their own methodological questions about quality, comparability, and interpretation. Finally, it recognizes the push to deliver health statistics in formats that are clearer, more engaging, and potentially interactive for diverse audiences.
The topics of interest are broad and methods-focused. Examples include improving how biomarkers and physical measures are collected in surveys (for instance, urine or blood specimens, blood pressure, height and weight, heart rate, or other physical assessments), developing better summary measures of health, and refining measures related to health insurance access and use. Other priorities include improved sampling strategies for hard-to-measure or policy-relevant subpopulations (such as minority populations, people with rare conditions, groups defined by socioeconomic status, or cell-phone-only households), as well as better analytic methods for small areas or small subpopulations where sample sizes are limited. The announcement also calls for methods that reduce disclosure risk in public-use datasets, research on how interview conditions affect response quality and bias, validation studies comparing different data sources (including vital records and electronic health records), and new approaches to presenting results so they are understandable and useful for different audiences.
NCHS data resources are central to the opportunity, and the announcement points to multiple datasets that applicants could explore, including newer or specialized files. Examples named include the NHANES National Youth Fitness Survey, NHANES oversamples (such as Asian Americans), NHIS sexual orientation data, U.S. fetal death data, birth data files with items tied to the 2003 revision of the standard birth certificate, the Native Hawaiian and Pacific Islander NHIS survey, NCHS linked datasets, and NHANES genetic data (including restricted components). At the same time, the announcement makes clear that proposals do not need to be limited to the listed examples and that many strong ideas will naturally build on prior or ongoing research. It also suggests that some methodological studies may be most cost-effective when embedded alongside existing research efforts.
On the funding and award side, the opportunity anticipated about four awards, with an estimated total funding amount of $600,000. Individual awards were expected to range from a floor of $12,000 to a ceiling of $100,000, and there was no cost sharing or matching requirement. The activity category is health, and the CFDA listing is 93.061 (Innovations in Applied Public Health Research). The application window for the posted opportunity ran in 2015 (posted July 23, 2015; closing October 7, 2015; archived November 6, 2015).
Eligibility was broad and included many types of applicants across government, academia, nonprofit, and industry. Eligible entities included state, county, and local governments; public and private institutions of higher education (with an explicit encouragement for Hispanic-serving institutions, HBCUs, tribally controlled colleges and universities, and Alaska Native and Native Hawaiian-serving institutions); federally recognized tribal governments and other tribal organizations; U.S. territories and possessions; nonprofits with or without 501(c)(3) status; for-profit organizations (other than small businesses) and small businesses; faith-based and community-based organizations; regional organizations; federally funded research and development centers (FFRDCs); and bona fide agents applying on behalf of a state or local government (with required documentation). Overall, the grant was positioned as a flexible, methods-centered funding source for researchers who can produce practical improvements in health survey and vital statistics methodology, data linkage and validation, confidentiality protection, and the communication of health statistics using NCHS data resources.
Frequently Asked Questions (FAQs)
1) What is this funding opportunity?
This is a discretionary grant opportunity from the Centers for Disease Control and Prevention (CDC), through the National Center for Health Statistics (NCHS), titled Research and Methods in Health Statistics. The Funding Opportunity Number is RFA-SH-16-001.
2) What is the main purpose of the program?
The program supports investigator-initiated projects that build, refine, and test statistical methods and survey methodologies used to collect, analyze, and report health survey data and vital records. The emphasis is on methods work that can produce practical improvements for NCHS and the broader health research community.
3) What kind of projects fit this opportunity?
The announcement highlights smaller, tightly scoped methods studies, including:
- Secondary analyses of existing datasets
- Self-contained methodological research
- Pilot and feasibility studies
- Development and testing of new statistical methods
- Development and testing of new survey methods
- Development and testing of new survey technologies
4) What award mechanism is used?
The opportunity uses an R03 small grant mechanism. It is intended for modestly resourced projects that can be completed relatively quickly and stay narrowly focused.
5) Are applicants expected to use NCHS datasets?
A key feature is the ability to use existing NCHS datasets, either alone or linked with other data sources, to evaluate new approaches to survey operations, statistical analysis, and communication/visualization of results. The announcement also welcomes stand-alone methods projects that improve how health data are collected, analyzed, protected, or displayed.
6) Do projects have to be limited to the datasets listed in the announcement?
No. The announcement provides examples of NCHS datasets that could be used, but it explicitly indicates proposals do not need to be limited to those examples. It also notes that many strong ideas will build on prior or ongoing research.
7) What are the main data challenges this program is trying to address?
The motivation includes several real-world pressures on health surveys and vital statistics systems, such as:
- Declining survey response rates and the risk of nonresponse bias
- Rising confidentiality concerns that can reduce participation or affect reporting
- Rapidly evolving data collection technologies with open questions about validity and reliability
- Interest in rapid, nontraditional data sources (for example, web activity or transaction data) and the need to assess their accuracy and interpretability
- The high cost and slow pace of new data collection, creating incentives to link datasets and extract more value from existing data
8) Does the opportunity support dataset linkage work?
Yes. The program encourages work that links datasets to get more value from what already exists, and it highlights NCHS linked datasets as part of its data resources.
9) What types of methodological topics are specifically mentioned?
The topics of interest are broad and methods-focused. Examples mentioned include:
- Improving collection of biomarkers and physical measures in surveys (for example, urine or blood specimens, blood pressure, height/weight, heart rate, or other physical assessments)
- Developing better summary measures of health
- Refining measures related to health insurance access and use
- Improving sampling strategies for hard-to-measure or policy-relevant subpopulations (for example, minority populations, people with rare conditions, socioeconomic groups, or cell-phone-only households)
- Developing analytic methods for small areas or small subpopulations where sample sizes are limited
- Reducing disclosure risk in public-use datasets
- Studying how interview conditions affect response quality and bias
- Validation studies comparing different data sources (including vital records and electronic health records)
- New approaches to presenting results so they are understandable and useful for different audiences, including clearer and more engaging formats
10) Does the program include work on confidentiality and disclosure risk?
Yes. The announcement explicitly calls for methods that reduce disclosure risk in public-use datasets and recognizes rising confidentiality concerns as an important pressure on survey systems.
11) Does the opportunity encourage validation studies across data sources?
Yes. The topics of interest include validation studies comparing different data sources, explicitly mentioning comparisons that may involve vital records and electronic health records.
12) Is improving how results are communicated part of the scope?
Yes. The announcement includes methods work to improve the communication or visualization of results and notes the push to deliver health statistics in formats that are clearer, more engaging, and potentially interactive for different audiences.
13) What NCHS datasets are named as examples?
Examples specifically named include:
- NHANES National Youth Fitness Survey
- NHANES oversamples (such as Asian Americans)
- NHIS sexual orientation data
- U.S. fetal death data
- Birth data files with items tied to the 2003 revision of the standard birth certificate
- Native Hawaiian and Pacific Islander NHIS survey
- NCHS linked datasets
- NHANES genetic data (including restricted components)
14) How many awards were anticipated?
The opportunity anticipated about four awards.
15) What was the estimated total funding amount?
The estimated total funding amount was approximately $600,000.
16) What was the expected award size per project?
Individual awards were expected to range from a floor of $12,000 to a ceiling of $100,000.
17) Is cost sharing or matching required?
No. The announcement states there was no cost sharing or matching requirement.
18) What is the activity category and CFDA listing?
The activity category is Health, and the CFDA listing is 93.061 (Innovations in Applied Public Health Research).
19) When was the application window?
The posted opportunity ran in 2015: it was posted July 23, 2015, had a closing date of October 7, 2015, and was archived November 6, 2015.
20) Who was eligible to apply?
Eligibility was broad and included many applicant types across government, academia, nonprofit, and industry. Eligible entities included:
- State, county, and local governments
- Public and private institutions of higher education (with explicit encouragement for Hispanic-serving institutions, HBCUs, tribally controlled colleges and universities, and Alaska Native and Native Hawaiian-serving institutions)
- Federally recognized tribal governments and other tribal organizations
- U.S. territories and possessions
- Nonprofits with or without 501(c)(3) status
- For-profit organizations (other than small businesses) and small businesses
- Faith-based and community-based organizations
- Regional organizations
- Federally funded research and development centers (FFRDCs)
- Bona fide agents applying on behalf of a state or local government (with required documentation)
21) Were any institutions specifically encouraged to apply?
Yes. The announcement explicitly encouraged applications from Hispanic-serving institutions, Historically Black Colleges and Universities (HBCUs), tribally controlled colleges and universities, and Alaska Native and Native Hawaiian-serving institutions.
22) Can a bona fide agent apply on behalf of a government applicant?
Yes. Bona fide agents could apply on behalf of a state or local government, but the announcement notes that required documentation must be provided.
23) Are stand-alone methods projects allowed, or must proposals include analysis of NCHS datasets?
Stand-alone methods projects are explicitly welcomed when they improve how health data are collected, analyzed, protected, or displayed. Separately, the announcement also highlights the option to use NCHS datasets (alone or linked) to test or evaluate new approaches.
24) What kinds of subpopulations are mentioned as priorities for sampling and analysis methods?
The announcement mentions hard-to-measure or policy-relevant subpopulations such as minority populations, people with rare conditions, groups defined by socioeconomic status, and cell-phone-only households. It also highlights the need for methods suited to small areas or small subpopulations where sample sizes are limited.
25) What is the overall focus of the grant in plain terms?
It is a flexible, methods-centered small grant intended to produce practical improvements in health survey and vital statistics methodology, including data linkage and validation, confidentiality protection, and clearer communication of health statistics, with NCHS data resources playing a central role.
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