PubAg Metadata Quality Support Service
Past New Requirement Updated
- Agency
-
Department of Agriculture
- Solicitation expected
- Estimated value
- $500,000 to $999,000
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- NAICS code
- 561320 Temporary Help Services
- Place of performance
- Beltsville, MD
- Forecast number
- 47038
- Points of contact
Forecast details come from the GSA Acquisition Gateway. Agencies' dates and values are estimates.
About this forecast
The Department of Agriculture seeks a Metadata Quality Support Service contract to support USDA's Public Access policy, which requires scholarly publications arising from USDA-funded and authored research to be made publicly accessible in machine-readable format. The contractor will serve as a metadata librarian responsible for reviewing PubAg bibliographic records in the Alma library system and submission system to identify and resolve quality concerns, including non-standardized metadata fields and errors, ensuring the PubAg API delivers high-quality, machine-readable metadata that meets customer needs. The solicitation is estimated to be released on July 17, 2026, with an estimated award date of June 30, 2026.
The estimated award value ranges from $500,000 to $999,000 under a Firm Fixed Price contract type awarded through full and open competition via Purchase Order. Performance will be located in Beltsville, Maryland. Nicole McKenzie, Contracting Officer at the United States Department of Agriculture, serves as the primary point of contact for this requirement, and may be reached at nicole.mckenzie@usda.gov.
Forecast text
This contract supports USDAs Public Access policy outlined in Departmental Regulation 1020-006 which mandates that scholarly publications arising from USDA-funded and authored research be made publicly accessible in machine-readable format. The metadata librarian will review PubAg bibliographic records in the library system (Alma) and in the submission system to identify quality concerns such as non-standardized metadata fields and errors and clean up metadata to ensure PubAg API meets customers need of high-quality and machine-readable metadata for PubAg content.
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