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Clemson University·South Carolina

Scholarly Benchmarking Solution

Closes 7/14/2026$200k – $500kRequest for Proposal
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Description

Clemson University seeks a comprehensive, high‑usability software suite that will serve as a centralized database, visualization platform, and reporting tool for tracking and benchmarking the scholarly output of individual university scholars. The solution must accommodate data collection, analytics, and user‑friendly reporting to support strategic decision‑making across the institution. The university will provide a detailed Scope of Work through its online bidding system, and proposals must align with those specifications. • Develop a database architecture that treats each scholar as a unique record and integrates diverse research metrics. • Create interactive dashboards and visualizations for comparative benchmarking across departments, colleges, and external institutions. • Deliver robust reporting capabilities, including custom report generation, export functions, and data security/compliance features. • Provide user‑experience design focused on accessibility and ease of navigation for faculty, administrators, and analysts. • Include implementation, training, and ongoing support plans as part of the proposal.

Attached files

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

Contact

Kevin Finan

[email protected]

(864) 656-9856

Key dates

Opened
6/16/2026
Closes
7/14/2026

Last updated

Details

Type
Request for Proposal
Industry
Information Technology and Software Development
NAICS
541511
Solicitation №
216893029

Budget estimate

$200,000 – $500,000

The solicitation does not disclose a budget, but a university‑wide, high‑usability data platform typically requires a multi‑phase software development effort (requirements, design, implementation, testing, training, support). Based on comparable campus IT projects, the contract value is likely to fall between $200,000 and $500,000, depending on the scope depth, licensing models, and post‑implementation support. Factors influencing the range include the complexity of data integration, the number of user roles, customization of analytics, and the length of the support period.

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