Event box

Reproducibility: Data Management, Git, and RStudio

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:
Perkins 217
Campus:
West Campus
Categories:
Data and Visualization  
Registration has closed.

Event Organizer

Profile photo of Jen Darragh
Jen Darragh
Profile photo of John Little
John Little
Profile photo of Sophia Lafferty-Hess
Sophia Lafferty-Hess
Profile photo of Center for Data and Visualization Sciences
Center for Data and Visualization Sciences