John Little, Data Analytics and Management Librarian
Sophia Lafferty-Hess, Senior Research Data Management Consultant
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.
To fully participate in this workshop, please bring your own laptop. The Hands-on part of this workshop focuses 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.
Participation in the forum earns two RCR credits for PhD students.
LocationBostock 127 (The Edge Workshop Room) Questions & addtional information: Jen Darragh
- Professional Development
- Professionalism and Scholarly Integrity