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Social Science Data Resources

Research guide for accessing data in the social sciences disciplines

Software Availability and Support

Software for Off-Campus Learning

A variety of software is available for researchers to clean, process, and use data from off-campus locations. Students, staff, faculty, and affiliates may view a current list of available software packages from Academic Commons. They can also access additional applications for remote working and collaborating using GW IT's Software downloads website

Software for On-Campus Learning

Students, staff, faculty, and affiliates can find specific software and hardware configurations across campus to meet their data analysis and use needs. These configurations are available to support qualitative, quantitative, and mixed research methods. Please review Academic Technologies Classrooms and Labs online search page to learn more about where you can find these resources across campus. 

Open Source Software for Data Analysis and Visualization

In addition to the university's commercial software offerings, a variety of open source software applications are also available to support data cleaning, processing, analysis, and visualization. This software is available at no-cost, online and actively supported through our workshop series

  • Anaconda Python: A free and open source distribution of the Python programming language for scientific computing and visualization that helps researchers simplify package management and deployment
  • OpenRefine: A free, open source tool for working with messy data including helping researchers and analysts clean, transform, and extend it with web services and external data. Available for use in more than 15 different languages
  • QGIS: A free and open geographic information system for mapping your data. Support for at least 48 different languages. Available for Linux, Windows, Mac, and BSD OS. Apps are also available for mobile devices and tablets
  • R: A free, open source program for statistical computing, qualitative research, and visualization. Available for Linux, Windows, and Mac OS
  • RStudio: An open source and commercial version of an integrated development environment for R. Available for Linux, Windows, and Mac OS

For software support, schedule a research consultation or attend a workshop

Selected Learning Resources

GW Libraries • 2130 H Street NW • Washington DC