Data & Donuts

R is a powerful statistical computing and graphics software that is open source and widely popular—particularly in academia. In this workshop we will cover how to use the R scripting language to construct workflows for reproducible, publication ready analyses and graphics. This workshop is being presented in collaboration with the UT Open Source Program Office (UT-OSPO)

This workshop will go over helpful strategies and techniques for effective research data management in all stages of the research lifecycle, from the drafting of comprehensive data management plans to successful publication of research data. Join this session to learn how to overcome data management challenges and stay in compliance with research data management regulations.

This workshop will demonstrate how to search for datasets in different research databases that are available through UT Libraries subscriptions. In this session you will have the opportunity to get hands on experience utilizing the interfaces of databases like ICPSR (Inter-university Consortium for Political and Social Research) Data Archive to query and download datasets for use in research.

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.

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.

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.

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.

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.