rOpenSci fosters a culture of open and reproducible research using shared data and reusable software. We build social and technical infrastructure for the R language to enable researchers and engineers to collaborate, share, and publish their science, data, and methods.
rOpenSci's Software Peer Review is a mechanism to validate high-quality packages, improve best practices and skills in the research software community, and build collaborations and community via a transparent, constructive and open review process utilising GitHub's open source infrastructure. Through it we have assembled a suite of hundreds of tools to support open science, and a community of package authors, reviewers, and maintainers to sustain them.
Find out moreWe combine academic peer reviews with production software code reviews to create a transparent, collaborative & more efficient review process
View open reviewsBased on best practices of software development and standards of R, its applications and user base.
Our Dev GuideWe have expanded our peer review system to include packages that implement statistical algorithms.
Our Stats Dev GuideR-Universe is our next-generation platform for discovering R tools, learning from documentation, developing and testing packages, and publishing your own collections. R-Universe's technology lets individuals, organizations, and consortia manage their own repositories at any scale.
Find out moreThe rOpenSci Champions Program is for people who are interested in contributing to rOpenSci, and becoming leaders in the broader open source and open science communities. It is a powerful, inclusive platform for developing your open-source project with support from experts. rOpenSci Champions interact, share, and strengthen a global network of peers determined to develop open and reproducible science in their local communities.
Find out moreWe welcome you to join us and help improve tools and practices available to researchers while receiving greater visibility to your contributions. You can contribute with your packages, resources or post questions so our members will help you along your process.
Our communityWe aim to expand access to R through a program of making first-class documentation available in languages beyond English. We are starting with our own resources, translating rOpenSci’s material on best practices for software development, code review, and contribution to open source projects into Spanish and more. As part of this effort we also developing guidelines and tools for translating open source resources to a wider audience.
Find out morePackage to translate Markdown based content through an external web API.
babeldownUse our carefully vetted, staff- and community-contributed R software tools that support the research data life cycle and analysis across a variety of scientific fields. Combine our tools with the rich ecosystem of R packages.
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