Skip to Main Content
University of Texas University of Texas Libraries

Research Data Services

replacement for my website

Upcoming Workshops & Events

Special Events

Special Events
No special events are currently scheduled at this time. Please check back soon.

Data & Donuts Workshops

Data & Donuts is a workshop series organized each semester by the UT Libraries Research Data Services team. Instructors from UT Libraries and partners across campus share expert advice, resources, and tools that will help you take good care of your data through all phases of the research lifecycle, from project planning to data preservation.

If you would like to be receive occasional announcements about Data & Donuts workshops and other similar events, please visit https://utlists.utexas.edu/sympa/subscribe/research-data-services to subscribe to the UT Libraries Research Data Services email list.

donut graphicWorkshops on select Fridays at 12pm via Zoom*
*see individual Zoom links for each workshop below

Please consider attending the upcoming workshops below. If you are interested in presentation slides, Zoom recordings, and other materials from past events you can access these resources at https://guides.lib.utexas.edu/data-and-donuts/information-about-past-workshops
Fall 2023
Finding and Utilizing Secondary Data in Research
Instructor: Michael Shensky
Date: 9/1/2023 (Fri.)
Time: 12:00 - 1:15p.m.
Location: Zoom (Virtual Workshop)
Resources: Presentation slides
Resources: Zoom Recording
There is a wealth of high quality data that can be accessed online from trusted sources which you can make use of in your own original research. Attend this workshop to learn more about finding useful secondary data, evaluating data quality, and processing downloaded data in preparation for use in research.
Reproducible Research with Python
Instructors: Ian Goodale &
Michael Shensky
Date: 9/15/2023 (Fri.)
Time: 12:00 - 1:15p.m.
Location: Zoom (Virtual Workshop)
Registration: Sign up here
Resources: Presentation slides
Resources: Colab Notebook
When you start working with large datasets or need to develop reproducible workflows, the ability to develop scripted processes for data processing and analysis can be essential. Attend this workshop to learn the basics of using Python, a popular free and open source scripting language to automate research workflows.
Creating Code for Research: GitHub, AI Tools, and Copyright
Instructors: Colleen Lyon &
Michael Shensky
Date: 9/29/2023 (Fri.)
Time: 12:00 - 1:15p.m.
Location: PCL Scholars Lab
& Zoom (Virtual Workshop)
Registration: Sign up here
This workshop will provide an introduction to using GitHub for managing code developed for research. It will also highlight cutting edge AI tools that assist with code generation and discuss legal and ethical considerations associated with their use.
Customer Reviews Data
Instructor: Meryl Brodsky
Date: 10/20/2023 (Fri.)
Time: 12:00 - 1:15p.m.
Location: Zoom (Virtual Workshop)
Registration: Sign up here
How much is a star really worth? This session will examine customer review data including how to use reviews effectively, how to spot fake reviews, and what consumers, companies and academic researchers do with customer review data.
Open Source Geographic Information Systems (GIS)
Instructors: TBA
Date: 10/27/2023 (Fri.)
Time: 12:00 - 1:15p.m.
Location: PCL Scholars Lab
& Zoom (Virtual Workshop)
Registration: Sign up here
This workshop will provide an explanation of key geospatial terms and concepts and an introduction to open source geographic information system (GIS) software for visualizing, analyzing, storing, processing, and managing geospatial data. By the end of this session you should have the core knowledge required to start working effectively with geospatial datasets using open source tools.

Special Events

The Research Data Services team occasionally hosts workshops and other learning opportunities as part of special events organized for the campus community. The workshops that are hosted as part of special events can vary greatly depending on the nature of the event. Please check below for learning opportunities organized by the RDS team for upcoming special events.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 2.0 Generic License.