The R research community has been extremely fortunate for the existence of rOpenSci. (https://ropensci.org/). rOpenSci curate an impressive collection of community contributed packages to support open reproducible research and data access in R. The peer review system used has not only improved the quality of contributed packages, but the practice of reviewing itself has elevated the skills of the whole community involved, by engaging us with best practice. The key to this success is a formalised review process based on detailed recommendations and guidelines (https://ropensci.github.io/dev_guide/). To help reviewers further, rOpenSci have also focused on tooling and automation. One such tool is pkgreviewr (https://github.com/ropenscilabs/pkgreviewr), an R package that helps automate some of the steps and guide reviewers through the review process. In this poster I’ll present an overview of the rOpenSci review process and the use of pkgreviewr to support it. I’ll also tell the story of how the package came to be and how such contributions can lead to deeper involvement with the community.
