Introduction to Collaborative and Reproducible Research Practices with R -- 4-Part Series

Sept. 12, 2022, 10 a.m. - Sept. 15, 2022, 3 p.m.

Organizer -

DataLab: Data Science and Informatics

Contact -

Location -

Shields 360 (DataLab Classroom)


This four-day workshop series (9/12, 9/13, 9/14, 9/15) provides an introduction to coding, with an emphasis on leveraging open source tools to develop workflows for collaborative and reproducible research. The goal of this series is to increase research integrity via exposure to basic command line tools and version control (Git), collaborative cloud tools (GitHub), programming (R), and data and software management best practices. Materials build across the sessions. All UC Davis graduate students and postdocs with little to no prior programming experience are eligible to apply.

Workshop series dates and time: September 12, 13, 14, and 15, 10:00 AM – 3:00 PM, with a break for lunch.

Optional: Data Challenge (following each session) 3:00 PM – 5:00 PM


Workshop Series Schedule

Day 1: Collaborative and Reproducible Research Overview and Introduction to the Command Line.

Day 2: Git and GitHub.

Days 3 & 4: R Basics. At the end of each session the learners are encouraged to continue practicing their skills by engaging in the fall Data Challenge. This series is scheduled for in person participation only and seats are limited.

Recordings of prior similar workshops are available in the DataLab training archive ( Completion of all sessions and corresponding assessments is required to obtain badges for the GradPathways Research Computing credential (   

Learning Objectives

By the end of this series, learners will be able to:

Prerequisites: None      

Software: R, Git. If you are using Windows, you will need to install additional software prior to the start of the workshop. Instructions can be found in the DataLab Install Guide (

Instructors: Pamela Reynolds, Oliver Kreylos, Tyler Shoemaker, Nick Ulle, Wesley Brooks

Registration is closed for this event