Data & Donuts is a workshop series organized each semester by UT Libraries Research Data Services. Instructors from UT Libraries and partners from across campus share expert advice, resources, and tools that will help you take good care of your data throughout its lifecycle, from project conception to the long-term archive. 

On select Fridays at 12pm via Zoom*
*see individual Zoom links for each workshop below

Recipes for Data Management

January 28, 2022

This workshop will provide you with hands-on opportunities to apply effective data management practices as we explore the parallels between research and cooking. Together we will look at similarities including the importance of quality inputs, the necessity of carefully documenting workflows, and other factors critical to success.

Introduction to Tableau

February 11, 2022

Tableau is a data visualization tool built around the philosophy that users should be able to build useful, beautiful charts quickly and easily. In this workshop we will cover how to connect to data, build several chart types, and publish dashboards to share. Participants are encouraged to install Tableau Desktop or Tableau Public in advance.

GIS & Digital Elevation Models

February 18, 2022

High resolution digital elevation model (DEM) data can now be found online for many areas of the world. GIS software can be used to analyze DEM data in a variety of different ways that are of relevance to researchers in many different fields. Attend this workshop to learn about how you can make use of DEM data in your work.

Spreadsheets & OpenRefine

February 25, 2022

During this interactive 90 minute workshop, participants will learn best practices for working with spreadsheet data. After a brief presentation, the instructors will guide participants in cleaning a provided dataset using the open-source tool OpenRefine. Topics covered in OpenRefine will include: sorting and filtering, saving scripts, & exporting data.

Data Ethics & Social Justice

March 4, 2022

In this discussion-focused session, we will consider who the data belongs to when researchers generate data, how the data collection process works and who is impacted, what happens to the data post data collection, who is responsible for maintaining/ stewarding the data, and who corrects data when errors are uncovered.

Register for sessions here.