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Analytical Database Development and Maintenance

Active

Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract through the CDC Office of Acquisition Services involves the design, construction, and maintenance of a secure and scalable analytical database dedicated to longitudinal CKD surveillance. The project focuses on establishing robust data ingestion from the MHS Data Repository, implementing comprehensive ETL processes, developing the database schema, and ensuring rigorous data quality assurance and performance optimization. The work is categorized under NAICS code 541512 and is performed for the Department of Health and Human Services. The designated place of performance for this initiative is located in Bethesda, Maryland.

General Info

CDC subcontract for CKD surveillance database design and maintenance in Bethesda, Maryland.

Agency

Department Of Health And Human Services → CDC Office Of Acquisition ServicesView Agency

NAICS

541512 - Computer Systems Design ServicesView NAICS

Place of Performance

Bethesda, MD, 20817, USA

Set-Aside

NONE

Documents

This scope was carved out of 75D30126C21382.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Justification for Other Than Full and Open - Chronic Kidney Disease Epidemiology in the Military Health System

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Timeline

PostedAug 11

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → CDC Office Of Acquisition Services

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Health And Human Services → CDC Office Of Acquisition Services

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Office AddressN/A

ContactsNo contact information available

Full Description

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Design, build, and maintain a secure, scalable analytical database for longitudinal CKD surveillance, including data ingestion from the MHS Data Repository, ETL processes, schema design, data quality assurance, and performance optimization.

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