Online Workshop: R for Reproducible Scientific Analysis

Software Carpentry is a two-day workshop designed to teach beginning computing skills and best practices to faculty, staff, and students. This introductory workshop will cover how to incorporate better practices when working with data and to strengthen data management skills.

9:00am - 4:30pm, Wednesday, May 18, 2022
9:00am - 4:30pm, Thursday, May 19, 2022

The details of the material can be found in the lesson materials and include the topics Intro to the Linux Command Shell, Intro to R, and Version Control using Git/GitHub. The workshop does not teach any particular domain tools but the foundational skills that will allow you to conduct any analysis and analyze the output of a data pipeline.

Software install requirement:  Git(version control), Bash Shell,  and R and RStudio be installed prior to the workshop

This workshop is geared towards beginners and no prior experience is necessary. For those who have intermediate and advanced skills working with data and code, OU Libraries offers regular office hours with specialists. Stop by DAVIS Virtual Office Hours on Mondays, Thursdays, and Fridays  from 1:00–3:00 p.m. with any questions. Additional resources include Digital Scholarship at OU Libraries. Intermediate and advanced learners are invited to participate in workshops as helpers in order to learn more about the Software and Data Carpentry program and its pedagogy.

Registration is required.

Questions, comments, or concerns? Contact Mark Laufersweiler: