Research Tools

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

黑料老司机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, SMU-licensed software tools, and much more. The list below summarizes some of the research tools available at SMU. If you’d like to learn more about what additional tools and solutions are available at 黑料老司机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.SMU

Apps.黑料老司机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 黑料老司机private cloud, but looks and feels as though it is running locally on your device.

Linux Hosting: s2.SMU

The s2.黑料老司机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 黑料老司机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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