Software and Services for Data Science (SSDS)

About us

The Data Science Training & Consultation team, the public-service point of the Center for Interdisciplinary Digital Research (CIDR) within Research Data Services (RDS) at Stanford University Libraries (SUL), provides consulting, instruction, and comprehensive support for data-intensive research across disciplines. Whether you need help framing your research question, working through a tricky piece of code, or navigating unfamiliar methods, our team helps you overcome technical barriers to advance your scholarship. We help undergraduate and graduate students, postdocs, faculty, and staff across disciplines refine their data science projects, machine learning models, data analysis workflows, and applications of AI in research. Our graduate consultants provide one-on-one guidance in programming, troubleshooting, and research design.

Our team brings expertise across a remarkable range of methods and tools. For individual consultant profiles, please visit our Data Science Consultation Team page. We work with programming languages including Python, R, MATLAB, SQL, Stata, and bash/command line. Our statistical methods expertise spans multi-level modeling, causal inference, predictive analytics, item response theory, clustering techniques, time series analysis, and experimental design. We offer specialized support in text analysis and natural language processing, psychometrics, survey design and analysis, neuroimaging analysis, computational modeling, and qualitative coding. Our consultants are skilled in data management tasks such as handling large datasets (including metabolomics, transcriptomics, and time series data), data cleaning and wrangling, version control with GitHub, and working with HPC clusters like Sherlock. We also provide guidance on data visualization using tools like ggplot2, matplotlib, seaborn, Plotly, Shiny apps, and R Markdown.