Opportunity Information: Apply for RFA CA 15 019
Apply for RFA CA 15 019
- The HHS-NIH11 in the education, health sector is offering a public funding opportunity titled "Genomic Data Analysis Network: Visualization Genomic Data Center (U24)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.393, 93.394, 93.395, 93.396,.
- This funding opportunity was created on Oct 22, 2015 and posted on Oct 22, 2015.
- Applicants must submit their applications by Jan 27, 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 $660,000.00 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:
The Genomic Data Analysis Network: Visualization Genomic Data Center (U24) opportunity (RFA-CA-15-019) is a National Cancer Institute (NCI) funding announcement managed through the Center for Cancer Genomics (CCG) that supports a specialized center focused on making cancer genomics data easier to explore, interpret, and use. It sits within a broader set of NCI cancer genomics programs aimed at understanding how cancers start, change over time, and become resistant to treatment. The core idea is that large-scale genomic characterization of well-annotated, high-quality tumor samples generates insights that can be translated into practical outcomes such as improved diagnostic and prognostic markers, identification of drug targets, and better prevention and treatment strategies. In this context, a “Visualization Genomic Data Center” is meant to be an enabling hub: it strengthens the research ecosystem by providing tools, platforms, and workflows that help scientists and clinicians interact with complex genomic datasets in meaningful ways.
The funding mechanism is a U24 cooperative agreement, which generally means the project is expected to be substantial and service-oriented, and that NIH staff typically have an active programmatic role in guiding priorities and ensuring the resource meets community needs. The activity category is listed under education and health, reflecting the dual emphasis on public-health impact and the training or enablement aspects that often come with major data resources and community-facing platforms. Because the program is part of a networked genomics effort, the center is implicitly expected to operate in a highly collaborative way, aligning its deliverables with NCI/CCG program goals and integrating with other cancer genomics resources rather than functioning as an isolated tool-building project.
Eligible applicants are broad and include many types of U.S. organizations: state, county, and local governments; special districts; independent school districts; public and private institutions of higher education; federally recognized tribal governments and other tribal organizations; public housing authorities/Indian housing authorities; nonprofits with and without 501(c)(3) status; for-profit organizations (including entities other than small businesses); small businesses; and other applicants as clarified in the full announcement. This wide eligibility range signals that NCI was open to proposals from academic centers, research institutes, nonprofits, and industry groups capable of building and operating high-impact data visualization and analysis infrastructure for the cancer genomics community.
Key administrative details include the sponsoring agency listed as HHS-NIH (specifically NCI), with CFDA program numbers 93.393, 93.394, 93.395, and 93.396, reflecting its alignment with NIH/NCI cancer research and genomics-related assistance programs. The original and current closing date was January 27, 2016, and the posting/creation date was October 22, 2015. The award ceiling was $660,000, indicating the maximum budget level anticipated per award under this announcement. While the expected number of awards is not provided in the excerpted fields, the structure suggests a focused investment in a center-level capability rather than a large number of small projects.
Taken together, this FOA is best understood as NCI’s effort to fund a dedicated, collaborative, network-aligned center that improves the usability of cancer genomics data through visualization-driven infrastructure. The center’s work would directly support NCI’s larger mission of accelerating discoveries about cancer biology and translating them into real-world clinical and public-health advances by making complex tumor genomic data more accessible, interpretable, and actionable for the wider research community.
Frequently Asked Questions (FAQs)
What is the Genomic Data Analysis Network: Visualization Genomic Data Center (U24) opportunity?
This opportunity (RFA-CA-15-019) is a National Cancer Institute (NCI) funding announcement that supports a specialized center focused on making cancer genomics data easier to explore, interpret, and use through visualization-driven tools, platforms, and workflows.
Which organization is sponsoring and managing this funding announcement?
The sponsoring agency is HHS-NIH, specifically the National Cancer Institute (NCI). The announcement is managed through NCI's Center for Cancer Genomics (CCG).
What is the main purpose of a "Visualization Genomic Data Center" in this program?
The center is intended to function as an enabling hub for the cancer genomics community by strengthening the research ecosystem with visualization-oriented resources that help scientists and clinicians interact with complex genomic datasets in meaningful ways.
How does this opportunity fit into NCI's broader cancer genomics efforts?
It sits within a broader set of NCI cancer genomics programs aimed at understanding how cancers start, evolve over time, and become resistant to treatment. The center supports these goals by improving the usability and interpretability of large-scale cancer genomics data.
What kinds of outcomes does NCI associate with large-scale genomic characterization in this context?
The program description links large-scale genomic characterization of well-annotated, high-quality tumor samples to practical outcomes such as improved diagnostic and prognostic markers, identification of drug targets, and better prevention and treatment strategies.
What is the funding mechanism for this opportunity?
The funding mechanism is a U24 cooperative agreement.
What does it mean that this is a U24 cooperative agreement?
As described, a U24 cooperative agreement typically indicates a substantial, service-oriented project where NIH staff generally have an active programmatic role in guiding priorities and helping ensure the resource meets community needs.
Is this opportunity more like a research project grant or a service/resource center award?
Based on the description, it is positioned as a center-level, service-oriented capability rather than an isolated tool-building effort, emphasizing community-facing infrastructure and network alignment.
Is the center expected to collaborate with other programs or resources?
Yes. The center is implicitly expected to operate in a highly collaborative way, align deliverables with NCI/CCG program goals, and integrate with other cancer genomics resources rather than functioning independently.
What is meant by "visualization-driven infrastructure" in this FOA?
In this context, it refers to tools, platforms, and workflows designed to help users explore, interpret, and use complex cancer genomics datasets more effectively, with visualization as a core approach to usability and insight generation.
What is the listed activity category for this opportunity?
The activity category is listed under education and health, reflecting the dual emphasis on public-health impact and the enablement or training aspects that often accompany major data resources and community-facing platforms.
Who is eligible to apply?
Eligibility is broad and includes many types of U.S. organizations, including: state, county, and local governments; special districts; independent school districts; public and private institutions of higher education; federally recognized tribal governments and other tribal organizations; public housing authorities/Indian housing authorities; nonprofits with and without 501(c)(3) status; for-profit organizations (including entities other than small businesses); small businesses; and other applicants as clarified in the full announcement.
Are for-profit entities allowed to apply?
Yes. The eligibility list explicitly includes for-profit organizations (including entities other than small businesses) as well as small businesses.
Are tribal governments and tribal organizations eligible?
Yes. Federally recognized tribal governments and other tribal organizations are included in the eligible applicant categories.
Are universities and colleges eligible applicants?
Yes. Both public and private institutions of higher education are included.
Can government entities apply?
Yes. State, county, and local governments are included, along with special districts and independent school districts.
What is the award ceiling for this opportunity?
The award ceiling is listed as $660,000, indicating the maximum budget level anticipated per award under this announcement.
How many awards will be made under this funding announcement?
The expected number of awards is not provided in the excerpted information. The description suggests a focused investment in a center-level capability rather than a large number of small projects.
What are the key dates for this opportunity?
The posting/creation date was October 22, 2015. The original and current closing date was January 27, 2016.
Is this opportunity still open?
Based on the provided closing date (January 27, 2016), the opportunity was scheduled to close on that date.
What CFDA program numbers are associated with this opportunity?
The CFDA program numbers listed are 93.393, 93.394, 93.395, and 93.396.
Why are multiple CFDA numbers listed?
The information provided indicates these CFDA numbers reflect alignment with NIH/NCI cancer research and genomics-related assistance programs, but no further breakdown is included in the excerpt.
What is the central problem this center is intended to address?
The core challenge described is that cancer genomics datasets are complex and large-scale; the center is meant to improve the community's ability to explore, interpret, and use these data by providing enabling visualization-focused infrastructure.
Who are the intended users of the center's outputs?
The description emphasizes support for scientists and clinicians who need to interact with complex cancer genomics datasets in meaningful ways.
What makes this center "network-aligned" rather than standalone?
The center is positioned as part of a broader NCI genomics effort and is expected to integrate with other cancer genomics resources and align deliverables with NCI/CCG program goals, implying coordinated priorities and interoperability rather than isolated development.
What is the overall mission impact described for this opportunity?
The center is framed as supporting NCI's mission to accelerate discoveries about cancer biology and translate them into real-world clinical and public-health advances by making tumor genomic data more accessible, interpretable, and actionable.
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