Research Tools

Solutions and tools to help faculty and students leverage resources for research.

èßäÊÓƵapp offers many different technology solutions and tools that are available to help faculty and students leverage appropriate resources for research. 


These include, but are not limited to, general use "genuse" compute systems, Linux hosting, databases, èßäÊÓƵapp-licensed software tools, and much more. The list below summarizes some of the research tools available at èßäÊÓƵapp. If you’d like to learn more about what additional tools and solutions are available at èßäÊÓƵapp to serve your research project needs, please research out to schedule a consultation.

GitHub Campus Program

GitHub is a cloud-based platform where students, faculty, and staff can store, share, and work together with others to write and version control code.

Research Data Management: DMPTool

For a guide to Research Data Management please visit this . We strongly encourage researchers to use the DMPTool for templated data management planning.

Cloud Survey & Analytics: Qualtrics

Qualtrics is a cloud-based survey and customer experience system that enables students, faculty, and staff to produce and distribute engaging surveys to gather data.

Shared Linux Compute Environment: Genuse

Genuse is a shared Linux compute environment for instruction and research for all faculty and students.

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Virtual Applications: Apps.èßäÊÓƵapp

Apps.èßäÊÓƵapp provides access to a variety of applications within a virtualized environment. Authorized individuals can login via a web browser, or into  and then launch approved applications. When launched, an application runs in the èßäÊÓƵapp private cloud, but looks and feels as though it is running locally on your device.

Linux Hosting: s2.èßäÊÓƵapp

The s2.èßäÊÓƵapp server is designed to host faculty & student Linux web content exclusively tied to instruction and research.

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Statistical Consulting & Analysis (Dedman College)

The èßäÊÓƵapp Statistical Consulting Center assists scholars, businesses, and organizations by applying statistical expertise to a variety of data analytics projects. Through this service, experienced faculty members in the Department of Statistical Science and supervised Ph.D. and M.S. graduate students can provide help in all phases of your research or data-related project.

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