StatLab: Support for data science, applied statistics, and scientific computing — data wrangling, analysis, visualization, statistical inference, computational methods, reproducibility, and more — via workshops and individual consultations and collaborations.
Including guidance on open source programming languages like R and Python; statistical environments like Stata, SPSS, SAS; scientific computing technologies like Unix, Github, and LaTeX; and more. Contact: email@example.com
Social, Natural, & Engineering Sciences
Information Expertise: Meeting the research needs across scientific disciplines, from finding materials and managing information, to understanding the changing scholarly landscape and promoting information literacy.
Teaching and Instruction: Collaborating with faculty to incorporate Library resources into courses,provide informational instruction to classes, and develop information literacy for lifelong learning.
Research Support: Consulting with researchers on reference management tools, journal impact factors, altmetrics, locating articles and books, copyright, open access, citation manuals and style, and more..