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This Government Contract opportunity from Department Of Health And Human Services was posted on June 4, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Research Data Coordination and Management

Closed
Federal

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This contract involves coordinating the integration of laboratory data with epidemiological and genetic datasets from the Framingham Heart Study (FHS), with a focus on managing de-identified participant information to maintain confidentiality. The objective is to ensure secure and high-quality data sharing while supporting research efforts. The work falls under the NAICS code 518210, indicating a focus on data processing, hosting, and related services. Issued by the National Institutes of Health, part of the Department of Health and Human Services, this subcontract was posted on June 4, 2026, with a response deadline of June 10, 2026. Although specific location details and points of contact are not provided, the contract’s emphasis is on managing sensitive research data securely and facilitating its integration to support ongoing scientific investigations.

General Info

Coordinate secure integration of de-identified FHS lab, epidemiological, and genetic data for research.

Agency

Department Of Health And Human Services → National Institutes Of Health Olao

NAICS

518210 - Computing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesView NAICS

Place of Performance

MD

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → National Institutes Of Health Olao
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Health And Human Services → National Institutes Of Health Olao
Office AddressN/A
ContactsNo contact information available

Full Description

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Coordinate integration of laboratory data with FHS epidemiological and genetic datasets, manage de-identified participant information, and ensure secure, high-quality data sharing.