rOpenSci | rOpenSci - open tools for open science
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Transforming science through open data, software & reproducibility

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.

Software Review Infrastructure Training and Mentorship Multilingual Publishing

Our Software Review Process

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.

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Open Reviews

We combine academic peer reviews with production software code reviews to create a transparent, collaborative & more efficient review process

View open reviews
Software Standards

Based on best practices of software development and standards of R, its applications and user base.

Our Dev Guide
Statistical Software

We have expanded our peer review system to include packages that implement statistical algorithms.

Our Stats Dev Guide

The R-Universe project

R-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.

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A rocket.
Browse

Discover and use packages.

Dashboard
Learn

R-universe documentation.

Docs
Contribute

Bug reports and feature requests.

Forum

Champions Program

The 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.

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Collage of champions' package logos and of events with champions
Champions and Mentors

Meet the cohorts.

All cohorts
Program's website

Projects, activities, and program details. (Spanish)

Posts
Training

Training sessions from the Champions' Program and beyond.

Read

Our Community

We 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 community
Fictional avatars of rOpenSci community members. Lydia Hill Illustration, all rights reserved.
Join the Conversation

Discover, learn and get involved in helping to shape the future of Data Science

Our Forum
Community Calls

Join in our Community Calls with fellow developers and scientists - open to all

Join Us
Events

Upcoming events including meetings at which our team members are speaking.

Find out more

Multilingual Publishing

We 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.

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Translation Guidelines

Why and how we localize and translate our resources.

Our Translation Guide
Automatic translation

Package to translate Markdown based content through an external web API.

babeldown
Multilingual Quarto

Package to set up and render a multilingual Quarto website or book.

babelquarto

Our Packages

Use 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.

View all packages

Explore Use Cases

Get inspired by real examples of how our packages can be used.

Explore Citations

Or browse scientific publications that cited our packages.

Latest News

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Our Blog

The latest developments from rOpenSci and the wider R community

Tech Notes

Release notes, updates and package related developements

Working together to push science forward

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