This Government Contract opportunity from Department Of Defense was posted on April 27, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Data Modeling, Validation & Integrity Assurance

Closed

Federal

Submission Closed05/08/2026, 07:00:00 PM UTC

Contract Overview

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

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NAICS: 541618

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North Devon District Council is seeking a provider to conduct a Gypsy and Traveller Accommodation Assessment for the North Devon and Torridge areas. This solicitation, identified by reference NDC0089-26, aims to evaluate the current housing and site requirements for these specific communities to inform local planning and policy. The opportunity was posted on September 11, 2026, with a response deadline of October 5, 2026, at 11:00 AM. Interested parties should direct inquiries and submissions to the North Devon District Council via the provided procurement email address.

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PROCUREMENT - Procurement Services

POSTED

3 days ago

DEADLINE

in 14 days

AI Contract Overview

The contract titled Data Modeling, Validation & Integrity Assurance requires the design of comprehensive data models, implementation of robust validation rules, and ongoing assurance of data integrity across all PBES modules to support accurate and reliable financial reporting. The work is critical to maintaining the precision of financial data within systems used by the Department of Defense, with performance centered at Wright Patterson AFB, Ohio, 45433. The solicitation is classified as a subcontract under NAICS code 541618, indicating it falls under other scientific and technical consulting services, and the response deadline is May 8, 2026, at 7:00 PM Eastern Time. The contract was posted on April 27, 2026, and is managed by the FA8770 Aflcmc Gbk organization, reflecting its alignment with Defense Department procurement priorities focused on data governance and system reliability.