Opportunity Information: Apply for RFA AG 17 016
Apply for RFA AG 17 016
- The Department of Health and Human Services, National Institutes of Health in the health sector is offering a public funding opportunity titled "Archiving and Sharing of Longitudinal Data Resources on Aging (U24)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.866.
- This funding opportunity was created on Jul 13, 2016.
- Applicants must submit their applications by Nov 03, 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 $480,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- 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:
The grant opportunity titled "Archiving and Sharing of Longitudinal Data Resources on Aging (U24)" (Funding Opportunity Number RFA-AG-17-016) is a discretionary funding announcement from the U.S. Department of Health and Human Services through the National Institutes of Health, focused on the health-related mission area of aging research in the behavioral and social sciences. The central aim is to strengthen the long-term availability, usability, and scientific impact of longitudinal data resources that are relevant to aging, by supporting an organization that can serve as a hub for archiving, disseminating, and promoting the wider use of these datasets. In practical terms, the program is designed to make it easier for researchers to find, access, understand, and responsibly reuse longitudinal data that track individuals or groups over time, which is essential for answering many of the most important questions in aging research.
This FOA specifically calls for applications under a Cooperative Agreement mechanism (U24). That mechanism signals a more collaborative relationship than a standard grant, meaning the NIH expects to have substantial involvement with the award recipient in shaping priorities and ensuring the archiving and dissemination activities align with the program goals. The funded effort is meant to go beyond simply storing files. It emphasizes building and maintaining an infrastructure and set of services that actively foster data sharing and encourage broader and more effective use of longitudinal datasets for research on aging, particularly within behavioral and social science domains. This includes supporting the full pathway from data producers (the investigators and institutions that collect longitudinal aging data) to data users (the broader research community that analyzes those data).
A major focus of the work is data archiving and dissemination. Archiving implies reliable, long-term stewardship of data, with attention to preserving the materials needed to make the data interpretable over time, such as documentation, metadata, codebooks, questionnaires, and information on sampling and study design. Dissemination highlights making those resources discoverable and accessible to qualified users, which often involves developing user-facing platforms or interfaces, clear data access procedures, and guidance around data use. Because longitudinal aging data frequently include sensitive personal information, the overall effort also typically requires thoughtful handling of privacy, confidentiality, and data governance so that sharing can occur responsibly and in ways consistent with ethical and legal standards.
Another core element is consultation with both producers and users of data. On the producer side, consultation can help studies prepare their datasets for sharing, improve data documentation, and adopt practices that make later reuse easier, such as consistent variable naming, harmonized measures, and clear descriptions of longitudinal follow-up procedures. On the user side, consultation can include helping researchers understand dataset structure, advising on appropriate analytic approaches for longitudinal designs, and providing technical assistance that lowers barriers to entry for new users. By combining archiving, dissemination, and consultation, the FOA aims to increase not just the volume of data shared, but the quality, usability, and scientific reach of the data resources made available to the field.
The opportunity lists a broad set of eligible applicants, reflecting that this kind of data stewardship and service operation can be housed in many types of institutions. Eligible entities include various levels of government (state, county, city or township, and special district governments), independent school districts, public and state-controlled institutions of higher education, private institutions of higher education, nonprofits with and without 501(c)(3) status (excluding higher education institutions in those nonprofit categories), public housing authorities/Indian housing authorities, federally recognized Native American tribal governments, and other Native American tribal organizations, as well as for-profit organizations (other than small businesses) and small businesses. The inclusion of many organizational types suggests the NIH is primarily interested in capacity and track record to deliver archiving and dissemination services, rather than restricting eligibility to one sector.
Funding details included in the announcement indicate an award ceiling of $480,000 and an expectation of one award. This implies a single organization is intended to serve as the primary awardee and coordinating hub for the activities described. The announcement was created on July 13, 2016, with an original closing date of November 3, 2016, which places it historically in that grant cycle; those dates matter for applicants because they signal the submission window and the likely timing of peer review and award decisions in that period.
Overall, this FOA is best understood as support for a national or field-wide resource that strengthens the research ecosystem around longitudinal aging data in the behavioral and social sciences. The intended outcome is a more open and efficient research environment where high-value longitudinal datasets are preserved, shared, and actively supported so that more investigators can use them, findings can be replicated and extended, and the scientific community can generate deeper insights into aging trajectories, social and behavioral determinants of health, and related outcomes over the life course.
Frequently Asked Questions (FAQs)
What is the title of this grant opportunity?
The opportunity is titled "Archiving and Sharing of Longitudinal Data Resources on Aging (U24)".
What is the Funding Opportunity Number (FOA number)?
The Funding Opportunity Number is RFA-AG-17-016.
Which federal department and agency are offering this grant?
This is a discretionary funding announcement from the U.S. Department of Health and Human Services through the National Institutes of Health (NIH).
What mission area or research focus does the FOA support?
The FOA focuses on aging research aligned with NIH's health-related mission area, specifically emphasizing the behavioral and social sciences and the value of longitudinal data resources for aging research.
What is the central aim of the program?
The central aim is to strengthen the long-term availability, usability, and scientific impact of longitudinal data resources relevant to aging by supporting an organization that can serve as a hub for archiving, disseminating, and promoting wider use of these datasets.
What does the FOA mean by "longitudinal data resources on aging"?
Based on the description provided, the FOA is focused on datasets that track individuals or groups over time and are relevant to aging. These resources are essential for answering questions about aging trajectories and related outcomes across the life course.
What kind of award mechanism is being used?
This FOA calls for applications under a Cooperative Agreement (U24) mechanism.
How is a Cooperative Agreement (U24) different from a standard grant in this FOA?
The U24 mechanism signals a more collaborative relationship than a standard grant. NIH expects substantial involvement with the award recipient in shaping priorities and ensuring that archiving and dissemination activities align with program goals.
What is the funded organization expected to do?
The funded organization is expected to serve as a hub that supports the full pathway from data producers (those who collect longitudinal aging data) to data users (researchers who analyze those data). The work goes beyond file storage and emphasizes infrastructure and services that actively foster data sharing and reuse.
Is the FOA only about storing data files?
No. The FOA emphasizes that the effort should go beyond simply storing files. It calls for building and maintaining infrastructure and services that promote discoverability, access, understanding, and responsible reuse of longitudinal aging datasets.
What does "data archiving" include under this opportunity?
Archiving is described as reliable, long-term stewardship of data, including preserving materials needed to interpret the data over time. Examples listed include documentation, metadata, codebooks, questionnaires, and information on sampling and study design.
What does "data dissemination" mean in the context of this FOA?
Dissemination focuses on making data resources discoverable and accessible to qualified users. The description points to activities such as developing user-facing platforms or interfaces, establishing clear data access procedures, and providing guidance around data use.
How does the FOA address privacy and confidentiality concerns?
The FOA notes that longitudinal aging data often include sensitive personal information and therefore typically require thoughtful handling of privacy, confidentiality, and data governance so sharing can occur responsibly and in ways consistent with ethical and legal standards.
Does the FOA include consultation or support services?
Yes. A core element described is consultation with both data producers and data users to improve data readiness for sharing and to lower barriers for responsible, effective reuse.
What kinds of consultation might be provided to data producers?
Producer-side consultation can include helping studies prepare datasets for sharing, improving documentation, and adopting practices that make reuse easier. Examples mentioned include consistent variable naming, harmonized measures, and clear descriptions of longitudinal follow-up procedures.
What kinds of consultation might be provided to data users?
User-side consultation can include helping researchers understand dataset structure, advising on appropriate analytic approaches for longitudinal designs, and providing technical assistance to reduce barriers for new users.
What is the intended outcome of combining archiving, dissemination, and consultation?
The FOA aims to increase not only the volume of data shared, but also the quality, usability, and scientific reach of longitudinal data resources available for aging research.
Who is eligible to apply?
The eligible applicants listed include:
- 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
- Nonprofits with 501(c)(3) status (other than institutions of higher education)
- Nonprofits without 501(c)(3) status (other than institutions of higher education)
- Public housing authorities/Indian housing authorities
- Federally recognized Native American tribal governments
- Other Native American tribal organizations
- For-profit organizations (other than small businesses)
- Small businesses
Does the FOA restrict eligibility to a specific sector (e.g., universities only)?
No. The eligibility list is broad, suggesting NIH is prioritizing organizational capacity and track record to deliver archiving and dissemination services rather than limiting applicants to a single sector.
How much funding is available for this opportunity?
The announcement lists an award ceiling of $480,000.
How many awards does NIH expect to make?
The FOA indicates an expectation of one award, implying a single organization is intended to serve as the primary awardee and coordinating hub.
When was the announcement created, and what was the original closing date?
The announcement was created on July 13, 2016, and the original closing date was November 3, 2016.
What does it mean that the dates place this FOA in a specific historical grant cycle?
The provided dates indicate the submission window and likely timing of review and award decisions for that period, placing this opportunity in the 2016 grant cycle described in the announcement.
What broader role is this FOA meant to play in the research ecosystem?
The FOA is intended to support a national or field-wide resource that strengthens the research ecosystem around longitudinal aging data in the behavioral and social sciences by improving preservation, sharing, and active support for reuse.
Why are longitudinal datasets especially important for aging research, according to the FOA?
The FOA emphasizes that longitudinal data are essential for answering many of the most important questions in aging research because they track change over time and enable deeper insights into aging trajectories and social and behavioral determinants of health.
What kinds of scientific benefits does the FOA anticipate from improved data sharing?
The FOA points to benefits such as enabling more investigators to use high-value datasets, supporting replication and extension of findings, and generating deeper insights into aging trajectories and related outcomes over the life course.
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