rOpenSci Statistical Software Peer Review
Chapter 1 Welcome
Welcome to rOpenSci’s project developing software peer review system for statistical software in R packages and beyond. We invite you to join us in developing standards for peer-reviewed evaluation of statistical software.
rOpenSci runs software peer review for R packages focused on data life cycle management. To apply these processes to software implementing statistical methods and algorithms, we need new ways of evaluating and testing software, and managing the review process. This book serves as a home for collecting research and developing those standards. As the book develops, it will become an extension of rOpenSci Packages: Development, Maintenance, and Peer Review, documenting not only our guidelines for statistical software but also the process of expanding the scope of review so it may be reproduced in other domains.
You are invited to contribute to this project by filing suggestions as
issues in the book’s GitHub repository.
We also have a dedicated area for discussion on the rOpenSci forum.
We have noted in the chapters we’re actively seeking more input and feedback by
highlighting them their titles in red and adding
[SEEKING FEEDBACK] to them. Feedback on other sections welcome, too
- but they may be more or less developed.
For this project we are lucky to have support of a great steering committee. The committee’s role is to help us with outreach to statistical communities, vetting community input and prioritizing our work. They are:
- Ben Bolker (@bolkerb) McMaster University
- Rebecca Killick, Lancaster University
- Stephanie Hicks (@stephaniehicks), Johns Hopkins University
- Max Kuhn (@topepos), RStudio
- Martin Morgan (@mt_morgan), Roswell Park Comprehensive Cancer Center