Data & Donuts

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.

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. Before this session, please request and install a free student license for Tableau Desktop or download and install Tableau Public.

High resolution digital elevation model (DEM) data can now be found online for many areas of the world. GIS software and Python can be used to visualize elevation data in both 2D and 3D, and to analyze digital elevation models 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.

During this extended 90 minute interactive workshop, participants will learn best practices for working with spreadsheet data. After a brief presentation, the instructors will guide participants in cleaning a pre-provided dataset using the open-source tool OpenRefine. Topics covered in OpenRefine will include: sorting and filtering, saving scripts, and exporting the final cleaned data file. We ask that registrants download OpenRefine 3.5.1 and make sure they can open it prior to attending the workshop. Please contact Meryl Brodsky or Hannah Chapman Tripp if you are experiencing difficulty downloading or opening the software.

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.

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. Tune in for this workshop to learn the basics of using Python, a popular free and open source scripting language to work with data.

Learning and adopting a few good habits can go a long way in managing your data. In this introductory workshop on data management concepts, you will learn about the many resources available at UT to help manage your data as well as best practices and tips for managing data. This workshop will be a lecture with interactive components; come with your questions.

The UT Libraries is steadily migrating scanned maps from the online Perry-Castañeda Library (PCL) Map Collection to the Texas GeoData and UT Collections portal. Learn about finding georeferenced maps in the Texas GeoData portal, using them with GIS software, and the metadata and image enhancements to maps in the UT Collections portal.

Drones have become a powerful research tool because of their ability to collect very high resolution geospatial imagery. This workshop will discuss how imagery collected with drones can be processed, visualized, and analyzed to study vegetation, topography, and geomorphology. It will provide an introduction to the use of photogrammetry software, GIS, and Python for image analysis.

This workshop will provide an introduction to US census data, explore the information collected by the Census Bureau and cover how it has evolved over time. It will address uses and limitations of data access and management. Tools for working with census data like GIS software and SimplyAnalytics will be introduced.