20 Reproducibility and Provenance
20.1 Learning Objectives
In this lesson, you will learn:
- About the importance of computational reproducibility
- The role of provenance metadata
- Tools and techniques for reproducibility supportred by the Arctic Data Center
- How to build a reproducible paper in RMarkdown
A great overview of this approach to reproducible papers comes from:
- Ben Marwick, Carl Boettiger & Lincoln Mullen (2018) Packaging Data Analytical Work Reproducibly Using R (and Friends), The American Statistician, 72:1, 80-88, doi:10.1080/00031305.2017.1375986
This lesson will draw from existing materials:
- Accelerating synthesis science through reproducible science practices
- rrtools
- Reproducible papers with RMarkdown
To start a reproducible paper with rrtools
, run:
Then, add some more structure to the package:
usethis::use_apl2_license(name="Matthew B. Jones")
rrtools::use_readme_rmd()
rrtools::use_analysis()
Now write a reproducible paper!