Along with the open science movement on the rise, methods and analytic processes are also increasingly expected to be open and transparent and for scientific studies to be reproducible.
Unfortunately, training in modern computational skills has not kept pace, which is particularly evident in biomedical research, where training tends to focus on clinical, experimental, or wet-lab skills. The computational learning module we have developed and described below aims to introduce and improve skills in R, reproducibility, and open science for researchers in the biomedical field, with a focus on diabetes research.
The r-cubed (Reproducible Research in R or R3) learning module is structured as a three-day workshop, with five sub-modules. We have specifically designed the module as an open educational resource that: 1) instructors can make use of directly or modify for their own lessons; and, 2) learners can use independently or as a reference after participating in the workshop. All content is available for re-use under CC-BY License.
- Reproducible research
- data management and documentation
- data management infrastructure
- Programming Education