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Designing a Reproducible Workflow with R and Git

[Online] Part of the Rfun series. Designing a workflow that enables reproducibility can be complex at times but having the right suite of tools and connecting them effectively is an important step. This workshop will present a potential end-to-end reproducible workflow using a 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 have their computer already configured for the workshop. 

Prerequisites:

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

  • A GitHub account

This workshop will be held online. 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

Date:
Thursday, October 6, 2022
Time:
10:00am - 12:00pm
Campus:
n/a
Categories:
Data and Visualization  

Registration is required. There are 75 seats available.

Event Organizer

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