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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 or R is required for this workshop.

 

To fully participate in this workshop, please bring your own laptop.

Date:
Monday, September 18, 2017
Time:
1:30pm - 3:30pm
Location:
Bostock 127 (The Edge Workshop Room)
Campus:
West Campus
Categories:
Data and Visualization

Event Organizer

John Little
Jen Darragh
Sophia Lafferty-Hess
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Data and Visualization Services