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.
SSDS drop-in consulting is hosted on Mondays and Wednesdays from 1-4PM in the Velma Denning Room (120F Green Library).
SSDS virtual drop-in consulting via Zoom is live! Click this link to view dates and register: https://calendly.com/ssdsconsulting/register
You can always submit a consulting request via our Contact Us page to get help over email or at a time that is convenient for you.
Our sibling organization, the Center for Interdisciplinary Digital Research (https://library.stanford.edu/research/cidr), 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.
SSDS workshops begin on September 28. View the schedule by clicking here.
Sign up for R Open Lab. R Open Lab is a collaborative space to troubleshoot, network, and/or get started with R and meets every Wednesday from 2-4PM.