Opportunity Information: Apply for RFA CA 14 017
Apply for RFA CA 14 017
- The National Institutes of Health in the education health sector is offering a public funding opportunity titled "The Early Detection Research Network Data Management and Coordinating Center (U24)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.394 Cancer Detection and Diagnosis Research.
- This funding opportunity was created on Dec 9, 2014 and posted on Nov 5, 2014.
- Applicants must submit their applications by Jan 20, 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 $6,000,000.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $4,500,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification) Special district governments Private institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) State governments Public housing authorities/Indian housing authorities County governments Native American tribal governments (Federally recognized) Small businesses Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education City or township governments For profit organizations other than small businesses Independent school districts Public and State controlled institutions of higher education Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education.
- Other Eligible Applicants include the following Alaska Native and Native Hawaiian Serving Institutions Asian American Native American Pacific Islander Serving Institutions (AANAPISISs) Eligible Agencies of the Federal Government Faith based or Community based Organizations Hispanic serving Institutions Historically Black Colleges and Universities (HBCUs) Indian/Native American Tribal Governments (Other than Federally Recognized) Non domestic (non U.S.) Entities (Foreign Organizations) Regional Organizations Tribally Controlled Colleges and Universities (TCCUs) U.S. Territory or Possession Non domestic (non U.S.) Entities (Foreign Institutions) are not eligible to apply. Non domestic (non U.S.) components of U.S. Organizations are not eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are allowed.
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Opportunity Summary:
The Early Detection Research Network Data Management and Coordinating Center (DMCC) (U24) opportunity (Funding Opportunity Number RFA-CA-14-017) is an NIH cooperative agreement designed to support the central operational and data backbone of the Early Detection Research Network (EDRN). EDRN is a long-running national program focused on discovering, developing, and validating biomarkers that can improve cancer risk assessment and enable earlier and more accurate detection, molecular diagnosis, and prognosis. In practical terms, the DMCC is intended to function as the hub that keeps the network aligned, ensures studies are designed and executed in a consistent and rigorous way, and makes sure the data generated across many sites can be curated, integrated, and used for collaborative validation research.
This FOA funds one award to run the DMCC, reflecting how centralized this role is within EDRN. The total estimated funding listed for the opportunity is $6,000,000, with an award ceiling of $4,500,000, and there is no cost sharing or matching requirement. The award mechanism is a cooperative agreement (U24), which generally means the NIH will have substantial programmatic involvement compared with a standard research grant. The activity category is listed under health, and the CFDA number is 93.394 (Cancer Detection and Diagnosis Research). The original posting date was November 5, 2014, with application deadlines shown as January 6, 2015 (original) and January 20, 2015 (current at the time), and an archive date of February 19, 2015.
The core purpose of the DMCC in this announcement is organized into four major responsibility areas. First is network coordination. This covers the practical work of keeping a large, multi-institution research network operating smoothly: organizing communications, supporting meetings and working groups, tracking network activities and milestones, and enabling collaboration among the different scientific units. Because EDRN work spans biomarker discovery through clinical validation, coordination is not just administrative; it is essential for aligning priorities, managing dependencies between laboratories and clinical sites, and ensuring that decisions and processes are consistent across the network.
Second is data management and study protocol development. This is a central feature of the DMCC role: building and maintaining the systems, standards, and workflows that allow EDRN to collect, clean, harmonize, store, and share data produced across many different studies and institutions. It also includes supporting the development of study protocols so that validation efforts are designed in a way that yields credible, reproducible results, and so that data elements and definitions are consistent enough to permit cross-study comparisons and pooled analyses when appropriate. In a biomarker network, data management typically spans clinical and epidemiologic data, specimen and assay metadata, quality control measures, and analytical results, so the DMCC is expected to provide the infrastructure that makes all of that usable at network scale.
Third is validation study infrastructure and services. EDRN is explicitly built around validation, meaning biomarkers and assays need to be tested in appropriately designed studies and populations, often across multiple sites. The DMCC is positioned as the enabling platform for that work, providing services and infrastructure that support planning and execution of validation studies. This can include coordinating multi-site study operations, supporting data capture and tracking, enabling secure and standardized data exchange, and providing tools and processes that help ensure studies meet network requirements for consistency and quality. The emphasis here is on making validation studies feasible, efficient, and methodologically strong across the entire EDRN enterprise.
Fourth is EDRN core fund management. In addition to technical and coordination duties, the DMCC is tasked with managing core funds within the network. This implies responsibility for tracking and administering centrally managed resources that support network-wide activities, which can include coordinating how funds are allocated to shared needs, monitoring their use, and ensuring they align with EDRN priorities and NIH expectations. While the FOA summary does not list detailed financial procedures, the inclusion of this task signals that the DMCC is expected to play a central role in stewardship of shared network resources.
This DMCC opportunity sits alongside three other scientific units that make up the continuing EDRN structure, and the DMCC is expected to interface closely with all of them. Biomarker Developmental Laboratories (BDLs) focus on developing and characterizing new biomarkers and assays, or refining existing ones. Biomarker Reference Laboratories (BRLs) act as network resources for clinical and laboratory validation, helping to ensure assays and measurements used in validation are reliable and standardized. Clinical Validation Centers (CVCs) conduct clinical research focused on biomarker validation and serve as clinical resource centers by participating in collaborative validation studies with BDLs and BRLs. The DMCC is essentially the connective tissue that helps these units work as a coherent system, especially when projects require coordinated protocols, shared data standards, and integrated reporting of results.
Eligibility for this FOA is broad across U.S.-based organizations, including public and private institutions of higher education, nonprofits (including 501(c)(3) and certain non-501(c)(3) entities), small businesses, for-profit organizations (including those other than small businesses), and various levels of government (state, county, city/township, special district governments), as well as public housing authorities/Indian housing authorities and independent school districts. The eligibility text also highlights inclusion of organizations such as HBCUs, Hispanic-serving institutions, tribally controlled colleges and universities, Alaska Native and Native Hawaiian serving institutions, and Asian American Native American Pacific Islander Serving Institutions, along with faith-based or community-based organizations and eligible federal agencies. Foreign institutions and non-U.S. entities are stated as not eligible to apply, and non-domestic components of U.S. organizations are also not eligible, though foreign components (as defined in NIH policy) are allowed. The sponsoring agency is the National Institutes of Health, and the opportunity is presented as a discrete solicitation to support one coordinating center that will underpin EDRN’s network-wide biomarker validation mission.
For applicants, the main takeaway is that this is not a typical single-lab research project grant. It is a network-scale coordinating and data-centered award meant for an organization with strong capabilities in multi-site coordination, biomedical data systems, standardized protocol support, and operational management for large collaborative research programs. The success of the DMCC is measured less by producing a single set of scientific findings and more by enabling many EDRN studies to be designed well, run consistently, and produce high-quality, interoperable data that supports credible biomarker validation and, ultimately, earlier cancer detection.
Frequently Asked Questions (FAQs)
What is the Early Detection Research Network (EDRN) DMCC (U24) funding opportunity?
This opportunity (Funding Opportunity Number RFA-CA-14-017) funds the Early Detection Research Network Data Management and Coordinating Center (DMCC) through an NIH cooperative agreement (U24). The DMCC is meant to serve as the central operational, coordination, and data backbone for the EDRN, a national program focused on discovering, developing, and validating biomarkers to improve cancer risk assessment and enable earlier and more accurate detection, molecular diagnosis, and prognosis.
What is the main purpose of the DMCC within EDRN?
The DMCC is intended to function as the hub that keeps the network aligned and operating consistently. In practical terms, it supports network-wide coordination, builds and runs data management systems and standards, helps develop rigorous and consistent study protocols, enables infrastructure and services for multi-site validation studies, and manages EDRN core funds that support shared, network-wide activities.
Which agency is sponsoring this opportunity?
The sponsoring agency is the National Institutes of Health (NIH).
What is the award mechanism and what does it imply?
The mechanism is a cooperative agreement (U24). This generally indicates substantial NIH programmatic involvement compared with a standard research grant, reflecting that the DMCC role is central to network operations and requires active coordination with NIH and the broader EDRN enterprise.
How many awards will be made under this FOA?
This FOA funds one award to run the DMCC, reflecting how centralized the coordinating center role is within EDRN.
How much funding is available and what is the award ceiling?
The total estimated funding listed is $6,000,000. The award ceiling is $4,500,000.
Is cost sharing or matching required?
No. The opportunity states there is no cost sharing or matching requirement.
What is the CFDA number and program area for this grant?
The CFDA number is 93.394, titled Cancer Detection and Diagnosis Research. The activity category is listed under health.
What were the key dates listed for this funding opportunity?
The original posting date was November 5, 2014. Application deadlines were shown as January 6, 2015 (original) and January 20, 2015 (current at the time). The archive date was February 19, 2015.
What are the four major responsibility areas of the DMCC described in the announcement?
The DMCC responsibilities are organized into four major areas: (1) network coordination, (2) data management and study protocol development, (3) validation study infrastructure and services, and (4) EDRN core fund management.
What does "network coordination" mean in the context of the DMCC?
Network coordination includes organizing communications across the network, supporting meetings and working groups, tracking activities and milestones, and enabling collaboration among EDRN scientific units. Because EDRN work spans biomarker discovery through clinical validation, coordination also supports alignment of priorities, consistent decision-making, and management of dependencies between laboratories and clinical sites.
What does the DMCC do for data management and protocol development?
The DMCC is expected to build and maintain systems, standards, and workflows to collect, clean, harmonize, store, and share data across multiple studies and institutions. It also supports development of study protocols so validation efforts are designed to produce credible and reproducible results, with consistent data elements and definitions that enable cross-study comparisons and pooled analyses when appropriate.
What kinds of data does the FOA suggest the DMCC may need to handle?
In a biomarker network, the DMCC is expected to support data that can span clinical and epidemiologic data, specimen and assay metadata, quality control measures, and analytical results, so that data generated across many sites can be curated, integrated, and used for collaborative validation research.
What is meant by "validation study infrastructure and services"?
EDRN is built around biomarker and assay validation in appropriately designed studies and populations, often across multiple sites. The DMCC is positioned as the enabling platform for this work by providing infrastructure and services to support planning and execution of validation studies. This can include coordinating multi-site study operations, supporting data capture and tracking, enabling secure and standardized data exchange, and providing tools and processes to help ensure consistency and quality across studies.
What is the DMCC role in EDRN core fund management?
The DMCC is tasked with managing core funds within the network, which implies tracking and administering centrally managed resources that support network-wide activities. While the summary does not provide detailed financial procedures, the inclusion of this responsibility signals that the DMCC will play a central role in stewardship of shared network resources to ensure alignment with EDRN priorities and NIH expectations.
How does the DMCC interact with other EDRN components?
The DMCC is expected to interface closely with the three other scientific units in the EDRN structure: Biomarker Developmental Laboratories (BDLs), Biomarker Reference Laboratories (BRLs), and Clinical Validation Centers (CVCs). The DMCC acts as the connective tissue that helps these units work as a coherent system, especially when projects require coordinated protocols, shared data standards, and integrated reporting of results.
What are Biomarker Developmental Laboratories (BDLs) in EDRN?
BDLs focus on developing and characterizing new biomarkers and assays, or refining existing ones.
What are Biomarker Reference Laboratories (BRLs) in EDRN?
BRLs serve as network resources for clinical and laboratory validation and help ensure assays and measurements used in validation are reliable and standardized.
What are Clinical Validation Centers (CVCs) in EDRN?
CVCs conduct clinical research focused on biomarker validation and serve as clinical resource centers by participating in collaborative validation studies with BDLs and BRLs.
Who is eligible to apply for this FOA?
Eligibility is broad for U.S.-based organizations, including public and private institutions of higher education; nonprofits (including 501(c)(3) and certain non-501(c)(3) entities); small businesses; for-profit organizations (including those other than small businesses); and various levels of government (state, county, city/township, special district governments). It also includes public housing authorities/Indian housing authorities and independent school districts, as well as eligible federal agencies.
Are certain institution types specifically highlighted as eligible?
Yes. The eligibility text highlights organizations such as HBCUs, Hispanic-serving institutions, tribally controlled colleges and universities, Alaska Native and Native Hawaiian serving institutions, and Asian American Native American Pacific Islander Serving Institutions. It also mentions faith-based or community-based organizations.
Are foreign institutions allowed to apply?
No. Foreign institutions and non-U.S. entities are stated as not eligible to apply.
Are non-domestic components of U.S. organizations eligible?
No. Non-domestic components of U.S. organizations are stated as not eligible.
Are foreign components allowed under NIH policy?
Yes. While foreign institutions cannot apply and non-domestic components are not eligible, the FOA states that foreign components (as defined in NIH policy) are allowed.
What kind of applicant is this opportunity best suited for?
This is not described as a typical single-lab research project. It is a network-scale coordinating and data-centered award intended for an organization with strong capabilities in multi-site coordination, biomedical data systems, standardized protocol support, and operational management for large collaborative research programs.
How is success of the DMCC described in this announcement?
Success is described less in terms of producing a single set of scientific findings and more in terms of enabling many EDRN studies to be well designed, run consistently, and produce high-quality, interoperable data that supports credible biomarker validation and, ultimately, earlier cancer detection.
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