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Data Curation & Quality Assurance

Active

State & Local

Response Deadline09/28/2026, 10:00:00 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 South Dakota State Government is seeking a subcontractor for a Data Curation and Quality Assurance project. The primary objective of this contract is to perform essential data curation tasks, including the quarantine, validation, cleaning, and documentation of datasets. These processes are required to ensure high levels of accuracy and consistency before the data is published on the Atlas platform. This opportunity was posted on August 25, 2026, and requires a response by September 28, 2026. The contract falls under NAICS code 519130, reflecting its focus on data processing and hosting services. Interested parties can find further details and submission guidelines through the provided official posting link.

General Info

South Dakota seeks subcontractor for data curation and quality assurance for Atlas platform.

Agency

South Dakota State GovernmentView Agency

NAICS

519130 - Internet Publishing and Broadcasting and Web Search PortalsView NAICS

Place of Performance

Not specified

Set-Aside

NONE

Documents

This scope was carved out of 26RFP-27-09RHT-025.

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

View the prime solicitation

Rural Health Data Atlas-Informatics Services

AI Contract Breakdown

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Timeline

PostedAug 25

subcontract

Response DeadlineSep 28

Submission deadline

Response Deadline

09/28/2026, 10:00:00 PM UTCin about 1 month

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Organization & Contact Information

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AgencySouth Dakota State Government

ContactsNo contacts available

OfficeN/A

Organization / Agency

South Dakota State Government

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

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Perform data curation tasks including quarantine, validation, cleaning, and documentation of datasets to ensure accuracy and consistency before publication on the Atlas platform.

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