18 Reproducibility and Provenance

18.1 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:

To start a reproducible paper with rrtools, run:


Then, add some more structure to the package:

usethis::use_apl2_license(name="Matthew B. Jones")

Now write a reproducible paper!