Scholar Support and Data Services

• Teaching R and Python workshops on data wrangling, data visualization, automation, and reproducibility
• Working with scholars who want to transition from proprietary statistical software to open software

• Get help with data analysis, research design, statistical methods, and machine learning from faculty with expertise in applied statistics and computational social science.

• Includes guidance on survey design, data cleaning, software selection, visualization, statistical modeling, and inference.

• Support varies by faculty member—review availability and areas of focus when booking an appointment

Visit the Lab

• The DH Lab is a service provided by the University Libraries that supports research, teaching, and community engagement at the intersection of computational technology and the humanities.

• Research guidance and support include research design, tool selection, data clean-up, data analysis, mapping, visualization, and dissemination of findings.

• Teaching guidance and support include curriculum design, assignment development, and in-class instruction.

• For more information and to book an appointment, visit the DH Lab page by clicking the button below.

Visit the Lab

• Working with scholars throughout the publishing process: rights retention, journal selection (e.g., avoiding predatory publishers), open access, research impact
• Advocating for a sustainable and equitable scholarly ecosystem

• Communicating with faculty across campus and within the library to understand research and resource needs
• Working with publishers and vendors and establishing sustainable approaches to collection building that enable the library to support all disciplines and research within our existing budget capacity