StatLab : We offer consultations, collaborations, and training in support of data science, applied statistics, and scientific computing, including data wrangling and cleaning, analysis and visualization, statistical inference and computational methods, reproducibility and open science.
Staff expertise also encompasses open source programming languages like R and Python; statistical environments like Stata, SPSS, SAS; scientific computing technologies like Unix, Github, and ShareLaTeX; visualization software (Tableau), and software for qualitative data (Dedoose). We can help with data collection via web scraping and APIs in R and Python and working with structured and unstructured (e.g., text) data. We have a growing collection of articles on data analysis and statistical practice, and current and past workshop materials. Visit our website for access to all of our resources, and to schedule an appointment.
The Research Software Support team can help you with obtaining, installing, and using site-licensed research software titles. Come by or contact us at email@example.com. Subscribe to our monthly Research Data Services Newsletter to hear about new resources.
The University of Virginia licenses many statistical, mathematical and scientific software packages for members of the University community. These tools may be accessed in several ways: accessed on the UVa Hive, downloaded from UVa Software Gateway, or used from computers throughout the libraries. For more details on eligibility, installation and downloading, please visit our website and click on the product of interest one the software list.
Looking for hands-on help? Email us at firstname.lastname@example.org to set up an appointment in Brown Science & Engineering Library Room I043.
Research Data Management services consult with student, faculty and staff researchers on best practices for collecting, documenting, organizing, storing, sharing, and preserving your research data throughout your project, and after it is completed. We can help you meet project goals by assisting you in identifying appropriate active data storage options, the best ways to securely protect your data, how to share the data between collaborators, and how to safely move data across the globe. Visit our website to learn about the data lifecycle and data management components, including citing data, file formats, organizing files and tracking changes, data security and encryption, and storage and backup.
Research Data Services + Sciences: We offer, coordinate, and highlight workshops and training on data analysis and statistics, computation and software, as well as on Library resources and methods. Anyone in the UVA community may attend. It’s free! Visit our website to see our Fall 2019 offerings, and links to CADRE workshops, HSL Data workshops, ARCS workshops, SOMRC workshops, nd other library workshops.