Reproducible Research Data and Project Management in R

Prerequisite skills: Degree in a quantitative discipline, or equivalent.

Learning Objectives

• Understand the basics of good research data management and be able to produce clean datasets with appropriate metadata.
• Manage computational projects for reproducibility, reuse and collaboration.
• Use version control to track the evolution of research projects.
• Use R tools and conventions to document code and analyses and produce reproducible reports.
• Be able to publish, share materials and collaborate through the web.
• Understand why this all matters!

Duration: 4 days (including introduction to R)

Course material: https://annakrystalli.me/rrresearchACCE20/