Event box

Designing a Reproducible Workflow with R and GitHub

[Online] Part of the Rfun series. The importance of reproducibility, replication, and transparency in the research endeavor is increasingly discussed in academia. This workshop will introduce foundational strategies that can increase the reproducibility of your work and present a potential end-to-end reproducible workflow using a suite of tools, including git, RStudio, Binder, and Zenodo. Configuration for the hands-on portion of the workshop will be sent to participants one week before the workshop. Participants are expected to bring their laptop already configured for the workshop. 


  • Introductory familiarity with R (consider attending an Introduction to R workshop or watch a prerecorded workshop)

  • A GitHub account

This workshop will now be held online to allow for broader participation. A zoom link will be sent to all registered participants prior to the workshop.

The content of the workshop may be recorded. If you are uncomfortable with a recording being published, please contact the instructor at any time prior to the conclusion of the workshop.

Data Science, Data Management

Tuesday, November 9, 2021
10:00am - 12:00pm
Data and Visualization  
Registration has closed.

Event Organizer

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