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DVS Workshop: Reproducibility: Data Management, Git, and RStudio

Data and Visualization Services:  Spring 2018 Workshop Series
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Monday, January 29, 2018
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1:00 pm - 3:00 pm
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John Little & Sophia Lafferty-Hess
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Data and Visualization Workshop Series

"In response to a growing focus on the importance of reproducibility, replication, and transparency in the research endeavor, scholars are adapting their practices and learning new skills and tools. This workshop will introduce some general data management strategies that can increase the reproducibility of your work. You will also learn through hands-on exercises how to harness two specific tools, git and RStudio, to support the execution of more reproducible research projects. Git is a powerful version control system and RStudio is an open-source statistical software program. No previous experience with Git is required for this workshop.

To fully participate in this workshop, please bring your own laptop. The Hands-on part of this workshop will focus on the practical aspects of configuring RStudio with Git. If you don't intend to use the R programming language, you may want to take a different workshop.

Prerequisite: Intro to R. All attendees are expected to be basically familiar with R, R Studio. For your convenience you can watch a previous recording of Intro to R and work through the practice datasets on your own."

Contact: Joel Herndon