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/

Contact Us

For queries relating to collaborating with the RSE team on projects: rse@sheffield.ac.uk

To contact the RSE team about seminars, training or JADE: rse-team-group@sheffield.ac.uk

Join our mailing list so as to be notified when we advertise talks and workshops by subscribing to this Google Group.

Queries regarding free research computing support/guidance should be raised via our Code clinic or directed to University central IT support.