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Designing a Reproducible Workflow with R and GitHub

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. 

Prerequisites:

This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join 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:
Wednesday, February 17, 2021
Time:
10:00am - 12:00pm
Campus:
n/a
Categories:
Data and Visualization  

Registration is required. There are 17 seats available.

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