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SSDS | Stanford Libraries

Software and Services for Data Science (SSDS) is a group in Green Library that provides support to the Stanford University research community. We can assist you through workshop trainings, one-to-one consultations, the selection and use of quantitative (statistical) and qualitative analysis software, and the curation and preservation of social science and humanities data.

We offer research support in two main formats:


SSDS software consultants are Stanford doctoral students who provide support in the use of the most popular quantitative and qualitative software such as R, Python, Stata, SPSS, SAS, NVivo, ATLAS.ti, and Dedoose. Consultants provide assistance and information for researchers who are at various stages in their projects. Examples include selecting a software package for a research project, providing resources for learning and teaching statistical and qualitative analysis software, planning before data collection, tips for data entry, solutions to common software problems, and data management, data reshaping and data conversion.


Our sibling organization, the Center for Interdisciplinary Digital Research (, offers a variety of workshop trainings to support your research needs. Theses workshops help kickstart your research project by teaching you to get started with quantitative software such as Python and R, use qualitative data analysis software, locate datasets, and plan during the early stages of their research. More intermediate and advanced topics such as text analysis and machine learning are offered as well.