🚨 News from @rOpenSci!
We’re excited to welcome @emitanaka & @nimahejazi.org as new Editors for Statistical Software Peer Review! 🎉
They’ll help ensure rigorous, friendly, open peer review for R packages in stats & data science.
Read the full post 👇
🔗 https://ropensci.org/blog/2025/06/25/editors2025/
#rstats #openscience #softwarepeerreview #statistics #rOpenSci
8/8 🤝 Get involved in software peer review!
Want to contribute to open science? rOpenSci is always looking for reviewers who are passionate about open-source software and reproducibility.
At rOpenSci, we see every review as an opportunity for growth and collaboration. Join us and make a difference! https://airtable.com/app8dssb6a7PG6Vwj/shrnfDI2S9uuyxtDw
📘 Our book - rOpenSci Packages: Development, Maintenance, and Peer Review - has guidance for
- #rstats pkg development
- authors, reviewers & editors in #SoftwarePeerReview
- package maintenance
- how you can contribute
Our book - rOpenSci Packages: Development, Maintenance, and Peer Review - has guidance for
- #rstats pkg development
- authors, reviewers & editors in #SoftwarePeerReview
- package maintenance
- how you can contribute
🔗 https://devguide.ropensci.org
Guide for package authors, maintainers, reviewers and editors in rOpenSci software peer-review system. This book is a guide for authors, maintainers, reviewers and editors of rOpenSci. The first section of the book contains our guidelines for creating and testing R packages. The second section is dedicated to rOpenSci’s software peer review process: what it is, our policies, and specific guides for authors, editors and reviewers throughout the process. The third and last section features our best practice for nurturing your package once it has been onboarded: how to collaborate with other developers, how to document releases, how to promote your package and how to leverage GitHub as a development platform. The third section also features a chapter for anyone wishing to start contributing to rOpenSci packages.
rOpenSci
rOpenSci
Carlos Cámara