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This Government Contract opportunity from Department Of Homeland Security was posted on June 3, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Data Quality and Standardization Services

Closed
Federal

Contract Overview

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The contract titled "Data Quality and Standardization Services" involves standardizing data definitions, naming conventions, and metadata to improve data consistency across systems. It also includes implementing key performance indicators (KPIs) and tools aimed at ensuring data accuracy and completeness. This subcontract focuses on enhancing the overall quality and reliability of data managed by the Department of Homeland Security's Support Services SECTION (SS40). The solicitation for this service was posted on June 3, 2026, with a response deadline of June 12, 2026. The place of performance is located in Washington, and the work falls under the NAICS code 541990. Although specific details such as the agency office address and point of contact are not provided, the contract is intended to support the department’s efforts in data management and operational efficiency through improved data governance practices.

General Info

Standardizing data definitions, naming conventions, KPIs to improve DHS data quality and consistency.

Agency

Department Of Homeland Security → Support Services SECTION(SS40)

NAICS

541990 - All Other Professional, Scientific, and Technical ServicesView NAICS

Place of Performance

Washington, DC, USA

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 Homeland Security → Support Services SECTION(SS40)
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Homeland Security → Support Services SECTION(SS40)
Office AddressN/A
ContactsNo contact information available

Full Description

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Standardize data definitions, naming conventions, and metadata; implement data quality KPIs and tools to ensure accuracy, completeness, and consistency across systems.