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Data Validation and Quality Assurance Services

Active

Federal

Response Deadline09/01/2026, 07:00:00 PM UTC

Contract Overview

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

AI Contract Overview

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The Department of Labor, specifically the Cas Division 5 Procurement office, is seeking a subcontractor for Data Validation and Quality Assurance Services. This engagement focuses on the independent verification of data completeness, accuracy, and timeliness. Key technical requirements include performing outlier detection, gap analysis, and normalization across various retailers, as well as reporting on overall data health metrics. The opportunity is categorized under NAICS code 541611. Interested parties must note that the solicitation was posted on August 26, 2026, with a response deadline of September 1, 2026. Performance is associated with location 80742.

General Info

DOL seeks subcontractor for data validation and quality assurance services by September 1.

Agency

Department Of Labor → DOL - Cas Division 5 ProcurementView Agency

NAICS

541611 - Administrative Management and General Management Consulting ServicesView NAICS

Place of Performance

80742, DC, USA

Set-Aside

NONE

Documents

This scope was carved out of 1605C5-26-Q-00034.

The full solicitation package (3 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

DOL BLS Consumer Electronics Data - RFQ 1605C5-26-Q-00034

AI Contract Breakdown

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Timeline

PostedAug 26

subcontract

Response DeadlineSep 1

Submission deadline

Response Deadline

09/01/2026, 07:00:00 PM UTCin 5 days

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Organization & Contact Information

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AgencyDepartment Of Labor → DOL - Cas Division 5 Procurement

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Labor → DOL - Cas Division 5 Procurement

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

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Independent verification of data completeness, accuracy, and timeliness, including outlier detection, gap analysis, normalization across retailers, and reporting on data health metrics.

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