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The University of North Carolina at Chapel Hill·North Carolina

Institutional Biorepository Management Platform

Closes 8/21/2026$500k – $2MRequest for Proposal
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Description

The University of North Carolina at Chapel Hill is seeking a commercially available, fully developed institutional biorepository management platform to support diverse biorepository workflows across campus. The platform should provide a shared infrastructure for biorepository operations, ensure regulatory compliance, promote interoperability with existing research systems, and support long-term institutional needs. The desired solution should enhance operational efficiency, foster collaboration across research communities, and support both current and future biorepository management requirements. Key features of the platform include: • Sample tracking and management • Integration with existing University systems • Security and compliance requirements • Business and technical requirements • Scalability and sustainability The University is looking for a vendor that can provide a comprehensive solution that meets these requirements and can support the University's research mission.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Kimberly Middleton(Software Category Manager)

[email protected]

Key dates

Opened
7/13/2026
Questions due
7/24/2026
Closes
8/21/2026
Duration
3 years

Last updated

Details

Type
Request for Proposal
Industry
Education
NAICS
511210
Solicitation №
65-RFP071326KJM

Budget estimate

$500,000 – $2,000,000

The estimated budget for this opportunity is difficult to determine without more specific information about the costs and pricing models of the proposed solutions. However, based on the scope of work and the requirements outlined in the RFP, it is possible that the contract value could range from $500,000 to $2 million over the initial three-year term, depending on the complexity of the solution, the number of users, and the level of support required. Factors that may influence the likely payment range include the cost of software licenses, implementation and training costs, and ongoing maintenance and support expenses.

AI estimate from the solicitation

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