Opportunity Information: Apply for RFA CA 22 032
This NIH funding opportunity (RFA-CA-22-032) supports the creation of a Data Management and Coordinating Center (DMCC) for a broader Liver Cancer Consortium focused on translational research to improve the early detection of liver cancer. The program is designed around a hub-and-spoke model: multiple Translational Research Centers (TRCs) will conduct the on-the-ground studies under a companion U01 announcement (RFA-CA-22-031), while the DMCC funded under this U24 cooperative agreement will provide the central coordination, data infrastructure, and cross-consortium support needed to make the overall effort function as a unified, high-quality research network. Clinical trials are not allowed under this specific U24 FOA.
The scientific aim of the overall consortium is to strengthen liver cancer surveillance in high-risk populations, increase the proportion of liver cancers found at an early stage, and improve risk stratification so that patients most likely to develop liver cancer can be identified earlier and followed more effectively. In practical terms, the TRCs are expected to generate research data and biospecimens relevant to early detection, while the DMCC is expected to ensure that these activities are harmonized across sites, that protocols and data standards align, and that the resulting datasets are usable for rigorous statistical and computational analyses across the entire consortium rather than only within individual centers.
The DMCC has three core responsibilities. First, it provides overall administrative and logistical coordination for the consortium, which typically includes organizing consortium governance, coordinating meetings, managing timelines and deliverables, facilitating communications among sites, and supporting operational decision-making so the consortium can move efficiently and consistently. Second, it supports the collaborative research studies and biospecimen collections carried out by the TRCs. This includes helping develop and refine study protocols, setting up data processing pipelines, providing statistical support, and enabling computational analyses that can integrate multi-site data and biomarker-related results. Third, it serves as the consortiums data management backbone by developing and maintaining an integrated database that houses research data generated across the consortium and by managing biospecimen-related data, such as clinical annotations tied to specimens, inventory and usage tracking, and other specimen metadata needed to ensure traceability and scientific validity.
To carry out these tasks, the DMCC is expected to bring multidisciplinary capabilities that span liver cancer research knowledge, biomarker development and evaluation for cancer detection, biostatistics, bioinformatics, and robust information technology infrastructure. The emphasis is on building an operationally reliable and scientifically rigorous environment for multi-center translational research, where data are collected in consistent formats, quality is monitored, analyses are reproducible, and biospecimen information remains accurate and auditable from collection through downstream use.
Mechanistically, this is a cooperative agreement (U24), meaning NIH will have substantial involvement compared with a typical research grant. The administering agency is the National Institutes of Health, and the program is associated with CFDA number 93.394. The announcement anticipated a single award, with an award ceiling listed as $400,000, indicating this FOA is intended to fund one central coordinating entity rather than multiple parallel centers. The original application closing date was 2022-11-07, and the opportunity was created on 2022-08-15.
Eligibility is broad across U.S.-based organizations and governmental entities, including state, county, and local governments; federally recognized tribal governments; tribal organizations; public and private institutions of higher education; independent school districts; special district governments; public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status (excluding higher education institutions in those categories); for-profit organizations other than small businesses; and small businesses. The FOA also highlights additional eligible categories such as Historically Black Colleges and Universities, Hispanic-serving Institutions, Tribally Controlled Colleges and Universities, Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions, faith-based or community-based organizations, regional organizations, eligible federal agencies, and U.S. territories or possessions. Foreign institutions are not eligible to apply, non-U.S. components of U.S. organizations are not eligible, and foreign components (as defined by NIH policy) are not allowed.
Overall, the opportunity is best understood as funding the operational and analytic backbone of a national translational research consortium in early liver cancer detection. Rather than running the individual studies itself, the DMCC is expected to make those studies work together: aligning protocols, ensuring consistent and secure data capture, enabling integrated analyses, and maintaining high-quality, well-annotated biospecimen and clinical datasets that can support consortium-wide conclusions about surveillance, early detection biomarkers, and risk stratification approaches in populations at elevated risk for liver cancer.Apply for RFA CA 22 032
- The National Institutes of Health in the education, health sector is offering a public funding opportunity titled "Consortium on Translational Research in Early Detection of Liver Cancer: Data Management and Coordinating Center (U24 Clinical Trial Not Allowed)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.394.
- This funding opportunity was created on 2022-08-15.
- Applicants must submit their applications by 2022-11-07. (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 $400,000.00 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.
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Frequently Asked Questions (FAQs)
What is this funding opportunity?
This is an NIH funding opportunity (RFA-CA-22-032) to support the creation of a Data Management and Coordinating Center (DMCC) for a broader Liver Cancer Consortium focused on translational research to improve the early detection of liver cancer.
What mechanism will be used to fund the award?
The award uses a U24 cooperative agreement mechanism, which means NIH will have substantial involvement compared with a typical research grant.
What is the role of the DMCC in the Liver Cancer Consortium?
The DMCC serves as the central coordination and data infrastructure hub for the consortium. It is expected to help the overall network function as a unified, high-quality multi-center translational research effort by aligning protocols and data standards, supporting integrated analyses, and maintaining consortium-wide data and biospecimen information.
How does the DMCC relate to the Translational Research Centers (TRCs)?
The consortium is designed around a hub-and-spoke model. TRCs conduct the on-the-ground studies under a companion U01 announcement (RFA-CA-22-031), while the DMCC funded under this U24 announcement provides cross-consortium coordination, data systems, and analytic support so that TRC activities are harmonized across sites.
What is the overall scientific aim of the consortium?
The consortium aims to strengthen liver cancer surveillance in high-risk populations, increase the proportion of liver cancers detected at an early stage, and improve risk stratification so that individuals most likely to develop liver cancer can be identified and followed more effectively.
Are clinical trials allowed under this U24 FOA?
No. Clinical trials are not allowed under this specific U24 funding opportunity.
What are the DMCC's core responsibilities?
The DMCC has three core responsibilities: (1) administrative and logistical coordination for the consortium, (2) support for collaborative research studies and biospecimen collections carried out by the TRCs, and (3) development and maintenance of the consortium's integrated data management backbone, including research data and biospecimen-related data.
What kinds of administrative and logistical coordination is the DMCC expected to provide?
Typical activities include organizing consortium governance, coordinating meetings, managing timelines and deliverables, facilitating communications among sites, and supporting operational decision-making so the consortium operates efficiently and consistently.
How is the DMCC expected to support TRC research studies and biospecimen collections?
The DMCC is expected to help develop and refine study protocols, set up data processing pipelines, provide statistical support, and enable computational analyses that integrate multi-site data and biomarker-related results.
What does "data management backbone" mean in this program?
It refers to building and maintaining an integrated database that houses research data generated across the consortium and managing biospecimen-related data (such as clinical annotations, inventory and usage tracking, and other specimen metadata) to ensure traceability and scientific validity.
What types of expertise and capabilities are expected for the DMCC?
The DMCC is expected to bring multidisciplinary capabilities spanning liver cancer research knowledge, biomarker development and evaluation for cancer detection, biostatistics, bioinformatics, and robust information technology infrastructure.
Why is harmonization across sites emphasized?
The DMCC is expected to ensure protocols and data standards align across the TRCs so resulting datasets can support rigorous statistical and computational analyses across the entire consortium, not just within individual centers.
What kinds of data and materials are TRCs expected to generate that the DMCC will coordinate?
TRCs are expected to generate research data and biospecimens relevant to early detection of liver cancer. The DMCC is expected to manage and harmonize the associated research datasets and biospecimen-related information across the consortium.
What does the hub-and-spoke model mean here?
Multiple TRCs operate as the "spokes" conducting studies at their sites, while the DMCC operates as the "hub" providing centralized coordination, shared data infrastructure, and cross-site support.
Who is the administering agency for this opportunity?
The administering agency is the National Institutes of Health (NIH).
What is the CFDA number associated with this program?
The opportunity is associated with CFDA number 93.394.
How many awards are anticipated?
A single award is anticipated, indicating the FOA is intended to fund one central coordinating entity.
What is the award ceiling listed for this FOA?
The award ceiling is listed as $400,000.
When was this opportunity created?
The opportunity was created on 2022-08-15.
What was the original application closing date?
The original application closing date was 2022-11-07.
Who is eligible to apply?
Eligibility is broad across U.S.-based organizations and governmental entities, including state, county, and local governments; federally recognized tribal governments; tribal organizations; public and private institutions of higher education; independent school districts; special district governments; public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status (excluding higher education institutions in those categories); for-profit organizations other than small businesses; and small businesses.
Are specific institution types explicitly highlighted as eligible?
Yes. The FOA highlights additional eligible categories such as Historically Black Colleges and Universities (HBCUs), Hispanic-serving Institutions, Tribally Controlled Colleges and Universities, Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions, faith-based or community-based organizations, regional organizations, eligible federal agencies, and U.S. territories or possessions.
Are foreign institutions eligible to apply?
No. Foreign institutions are not eligible to apply.
Are non-U.S. components of U.S. organizations eligible?
No. Non-U.S. components of U.S. organizations are not eligible.
Are foreign components allowed under NIH policy for this opportunity?
No. Foreign components (as defined by NIH policy) are not allowed.
What is the practical focus of the DMCC award within the consortium?
The DMCC award is intended to fund the operational and analytic backbone of the consortium: aligning protocols, ensuring consistent and secure data capture, enabling integrated analyses, and maintaining high-quality, well-annotated biospecimen and clinical datasets that support consortium-wide conclusions.
What types of research outputs is the DMCC expected to enable?
The DMCC is expected to enable rigorous statistical and computational analyses across the entire consortium, including analyses that integrate multi-site data and biomarker-related results relevant to surveillance, early detection, and risk stratification in high-risk populations.
Does the DMCC run the on-the-ground research studies itself?
No. The TRCs are expected to conduct the on-the-ground studies, while the DMCC is expected to coordinate, support, and integrate their work across the consortium.
What kinds of quality expectations are implied for the DMCC?
The emphasis is on an operationally reliable and scientifically rigorous environment where data are collected in consistent formats, quality is monitored, analyses are reproducible, and biospecimen information remains accurate and auditable from collection through downstream use.
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