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NIH
Forecasted

FOR-HG-26-005

Clinical Data Ecosystem for Genomics (CDEG)

Summary

AI-generated

Clinical Data Ecosystem for Genomics Network

The National Human Genome Research Institute (NHGRI) plans to fund a coordinated network addressing a critical gap in genomic medicine: the fragmentation of clinical genome sequencing data across healthcare systems. The initiative seeks to establish a Clinical Data Ecosystem for Genomics (CDEG) that enables secure, standardized sharing of genomic structured data (GSD) and their clinical interpretation among laboratories, providers, and patients. The network will develop and pilot best practices for integrating genome sequencing data into electronic health records (EHR) and health information exchange systems, create standardized application programming interfaces (APIs) to facilitate interoperability, and build open-source clinical software tools that leverage these standards. A key goal is demonstrating how patients can access their genomic data seamlessly as they move between healthcare settings. The work spans computational genomics, data science, genomic data standards, and implementation science—ultimately producing implementation resources and refined practices for broader adoption across clinical settings.

  • Who can apply: Collaborative teams with combined expertise in computational genomics, data science, EHR systems, genomic data standards, cloud/database development, health information exchange, and clinical genomics implementation. Note: This is a pre-announcement; applications are not being solicited at this time.

  • Funding & project length: Not stated.

  • Award mechanism: U01 (Cooperative Agreement).

  • Key dates: Actual NOFO release date not stated; this notice allows time for collaboration planning.

  • Best fit for: Interdisciplinary teams in genomic medicine and implementation science seeking to standardize and operationalize clinical genomic data sharing across healthcare systems.

Insights (6)

Consortium expertise in EHR integration and genomic data standards is core competitive advantage

strategic fit

The pre-announcement explicitly encourages 'collaborative investigations combining expertise in computational genomics and data science, electronic health records (EHR), genomic data standards, cloud and database development, health information exchange, and implementing genomics in clinical care.' Applicants with demonstrated track records in interoperability standards (HL7 FHIR, GA4GH), EHR vendor partnerships, or prior health information exchange implementations will be significantly more competitive than those with genomics expertise alone.

Multi-institutional network model requires early partnership development across healthcare systems

collaboration

The CDEG explicitly aims to establish a 'pilot ecosystem' demonstrating best practices across 'different health care settings, including primary care.' This U01 mechanism typically funds coordinating centers with multiple collaborating sites. Applicants should begin identifying healthcare system partners, primary care networks, and clinical laboratories now—the pre-announcement window is specifically designed to allow 'sufficient time to develop meaningful collaborations.'

Pre-announcement status creates timing risk; actual NOFO requirements remain undefined

eligibility

This is explicitly a pre-announcement notice, not a final NOFO. While the scope is outlined, critical details—budget caps, institutional eligibility restrictions, data use agreements, patient consent frameworks, and regulatory requirements (e.g., CLIA certification for participating labs)—are not yet specified. Applicants investing heavily in proposal development now risk misalignment with the final FOA requirements.

Implementation science focus suggests preference for teams with prior health system deployment experience

competition

The program emphasizes 'implementation resources for broader sharing and adoption' and explicitly mentions 'implementation science' as a valued expertise area. This suggests NHGRI is seeking teams that have moved beyond proof-of-concept to demonstrate real-world clinical adoption, workflow integration, and sustainability models—not purely technical infrastructure projects.

Primary care integration requirement narrows competitive pool to systems with ambulatory genomics experience

strategic fit

The explicit inclusion of 'primary care' in the pilot ecosystem is notable; most genomic data sharing initiatives focus on tertiary/specialty care. Applicants with existing primary care genomics programs, relationships with primary care networks, or implementation data from non-specialist settings will have a distinct advantage over those with only hospital-based or specialty genomics infrastructure.

U01 mechanism favors established research teams with institutional infrastructure and partnerships

career stage

U01 cooperative agreements typically fund larger, multi-year coordinating center efforts requiring substantial institutional commitment and existing relationships. Early-stage investigators or those without established health system partnerships may find this mechanism less accessible than R01 or R21 alternatives, though collaborative roles as co-investigators are viable.

Key Facts

Deadline

Posted

Thu, July 17, 2025

U01
93.172
Grants.gov

Keywords

genome sequencing
genomic data standards
clinical data integration
health information exchange
electronic health records
application programming interfaces
computational genomics
data science
implementation science
genomic medicine
structured data sharing
primary care genomics
patient data accessibility
cloud database development

Research Areas

NIH Institute
Human Genome ResearchNHGRI
OpenAlex
Life SciencesD1Physical SciencesD3Health SciencesD4
Fields
Biochemistry, Genetics & Molecular BiologyF13Computer ScienceF17Materials ScienceF25MathematicsF26MedicineF27Health ProfessionsF36
Subfields
BiotechnologyS1305GeneticsS1311Molecular BiologyS1312Artificial IntelligenceS1702Computer Science ApplicationsS1706Information SystemsS1710Applied MathematicsS2604Modeling & SimulationS2611Genetics (Medical)S2716Health InformaticsS2718Health Information ManagementS3605
Topics
Genomics and Phylogenetic StudiesT10015Cloud Computing and Resource ManagementT10101Semantic Web and OntologiesT10215Genomics and Chromatin DynamicsT10222Genetic Associations and EpidemiologyT10261Information Retrieval and Search BehaviorT10286Electronic Health Records SystemsT10350Bioinformatics and Genomic NetworksT10887+10 more
MeSH
AnatomyA
Nervous SystemA08
DiseasesC
Chemicals & DrugsD
Macromolecular SubstancesD05Nucleic Acids & NucleotidesD13
Analytical/Diagnostic/Therapeutic TechniquesE
DiagnosisE01Investigative TechniquesE05Equipment & SuppliesE07
Phenomena & ProcessesG
Chemical PhenomenaG02Genetic PhenomenaG05
Disciplines & OccupationsH
Natural Science DisciplinesH01
Information ScienceL
Information ScienceL01
Health CareN
Health Care ServicesN02Health Care EconomicsN03Health Services AdministrationN04Health Care Quality & EvaluationN05
ANZSRC FoR
Biological Sciences31
Bioinformatics & Computational Biology3102Genetics3105
Biomedical & Clinical Sciences32
Clinical Sciences3202Medical Biotechnology3206
Engineering40
Biomedical Engineering4003Chemical Engineering4004
Health Sciences42
Health Services & Systems4203Public Health4206
Information & Computing46
Applied Computing4601Data Management & Data Science4605Distributed Computing & Systems4606Information Systems4609Software Engineering4612

Gotchas (2)

Soft Block
submissiontimeline deadlines

This document is a pre-announcement notice, not an actual NOFO. Applications are explicitly stated as 'not being solicited at this time.' Applicants may waste effort developing proposals before the ac

AI

95%

Source Text

Applications are not being solicited at this time. Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects.

Warning
planningprogram collaboration

The NOFO emphasizes that collaborative investigations combining multiple specific expertise areas (computational genomics, data science, EHR, genomic data standards, cloud/database development, health

AI

85%

Source Text

collaborative investigations combining expertise in computational genomics and data science, electronic health records (EHR), genomic data standards, cloud and database development, health information exchange, and implementing genomics in clinical care will be encouraged

AI-generated content — verify with the issuing agency’s official FOA/NOFO. Not endorsed by HHS.

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