New Tech Solutions - Graphpad Software
Past New Requirement Updated
- Agency
-
National Institutes of Health
Department of Health and Human Services
- Solicitation expected
- Estimated value
- $25,000 to $250,000
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- NAICS code
- 541511 Custom Computer Programming Services
- Points of contact
Forecast details come from HHS's procurement forecast. Agencies' dates and values are estimates.
About this forecast
The National Institutes of Health plans to procure a site license for GraphPad Prism software, the original equipment manufacturer's product, to support NIDCR researchers and DIR staff on both Mac and PC platforms, with solicitation release estimated for June 1, 2026 and award estimated for July 1, 2026. NIDCR requires the software to come directly from the OEM to maintain continuity and avoid delays, and Prism organizes, statistically analyzes, and visualizes scientific data, fits curves such as drug dose responses, and produces graphs for publications and grant reports. The estimated award value range is $25,000 to $250,000 under NAICS 541511 (Custom Computer Programming Services), with no set-aside used. Contracting Officer Shirley Ruiz-Lundgren (shirley.ruiz-lundgren@nih.gov, +1 301-827-7529) and Georgia Baldwin (georgia.baldwin2@nih.gov) are the points of contact, and the forecast was posted November 14, 2026.
Forecast text
GraphPad is the OEM of the Prism software. Site license purchase request is to facilitate support of DIR staff (both Mac and PC users) for using this software. NIDCR must utilize Graphpad PRISM from the OEM to keep continuity and avoid a delay in getting the software. GraphPad is a software tool that NIDCR researchers use to organize, analyze, and visualize scientific data. It helps them run statistical tests to see if their results are meaningful, fit curves for experiments like drug dose responses, and make clear graphs and figures for papers, posters, or grant reports. It also keeps data organized so that results can be easily updated, shared, and reproduced, which is important for NIH standards. Essentially, it's a tool that turns raw experimental data into clear, reliable results that researchers can use to make decisions, publish findings, and meet government research requirements.
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