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Data Documentation & Metadata Development

Active

Federal

Response Deadline08/18/2026, 04:00:00 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 Agriculture, specifically the USDA Ars Afm Apd, is seeking a subcontractor for Data Documentation and Metadata Development. The primary objective of this contract is to create and maintain detailed data documentation for each data release, which includes the development of data dictionaries, sampling designs, weighting methodologies, and error assessments. This opportunity is categorized under NAICS code 541690 and will be performed in Washington, DC. Interested parties must submit their responses by the deadline of August 18, 2026, following the posting date of August 12, 2026.

General Info

USDA seeks subcontractor for data documentation and metadata development in Washington, DC.

Agency

Department Of Agriculture → USDA Ars Afm ApdView Agency

NAICS

541690 - Other Scientific and Technical Consulting ServicesView NAICS

Place of Performance

Washington, DC, 20024, USA

Set-Aside

NONE

Documents

This scope was carved out of 1176113-SS.

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

View the prime solicitation

Household Consumer Food Purchase Panel

AI Contract Breakdown

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Timeline

PostedAug 12

subcontract

Response DeadlineAug 18

Submission deadline

Response Deadline

08/18/2026, 04:00:00 PM UTCin 5 days

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Organization & Contact Information

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AgencyDepartment Of Agriculture → USDA Ars Afm Apd

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Agriculture → USDA Ars Afm Apd

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

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Develop and maintain comprehensive data documentation including data dictionaries, sampling designs, weighting methodologies, and error assessments for each data release.

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