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NAL data analysis and data engineering support for public access

Active
Federal

Contract Overview

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The Agricultural Research Service within the Department of Agriculture is seeking data engineering and data analysis support to prepare NAL scientific research data and publication records for public access. The primary objective is to enable AI usage through automated processes, specifically utilizing Python and Data Bricks to ensure that all data is accessible and functional for advanced computational tools. The selected provider will be responsible for maintaining high levels of data quality and consistency while ensuring strict compliance with established metadata standards and DR 1020-006. This forecast is categorized under NAICS code 541512 and is managed by point of contact Nicole McKenzie.

General Info

USDA seeks data engineering and analysis support for AI-ready scientific research data access.

Agency

Department of Agriculture → Agricultural Research ServiceView Agency

NAICS

541512 - Computer Systems Design ServicesView NAICS

Place of Performance

Not specified

Set-Aside

NONE

Documents

(0)

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Timeline

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Organization & Contact Information

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AgencyDepartment of Agriculture → Agricultural Research Service
Contacts2 people available
OfficeN/A
Organization / Agency
Department of Agriculture → Agricultural Research Service
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Office AddressN/A
Contacts
NICOLE MCKENZIE
NICOLE MCKENZIE

Full Description

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Provide data engineering and data analysis support to prepare NAL scientific research data and publication records for public access and usage by AI through automated processes utilizing tools like Data Bricks and python. Ensure data quality and consistency and compliance with data and metadata standards and DR 1020-006.

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