rOpenSci - open tools for open science
WEBUse our carefully vetted, staff- and community-contributed R software tools that lower barriers to working with local and remote scientific data sources. Combine our tools with the rich ecosystem of R packages. View all packages. Computing Infrastructure. Workflow Tools for Your Code and Data. Data Access. Get Data from the Web. Data Extraction.
Packages - rOpenSci
WEBPackages. Our packages are carefully vetted, staff- and community-contributed R software tools that in particular lower barriers to working with local and remote scientific data sources. Browse use cases and read our blog to learn how to use specific packages or contribute to their improvement. Curious about contributing your package?
rOpenSci - open tools for open science
WEBTransforming science through open data, software & reproducibility We help develop R packages for the sciences via community driven learning, review and maintenance of contributed software in the R ecosystem
16 Package evolution - changing stuff in your package - rOpenSci
WEBGuide 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 ...
About us - rOpenSci
WEBCreating technical infrastructure in the form of carefully vetted, staff and community-contributed R software tools that lower barriers to working with scientific data sources on the web. Making the right data, tools and best practices more discoverable. Creating social infrastructure through a welcoming and diverse community. Promoting advocacy for a culture of data sharing and reusable software
rOpenSci Software Review Dashboard – Dashboard
WEBThis dashboard provides an overview of all current rOpenSci software review issues, and of editor availability and past editorial workloads.The dashboard includes the following components: The Editors page which provides information on current editors and activities. This page helps the Editor-in-Charge identify editors for new submissions, and gives each editor an overview of their current ...
rOpenSci Packages: Development, Maintenance, and Peer Review
WEBGuide 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 ...
rOpenSci Blog Guide for Authors and Editors
WEBMar 29, 2024 · The purpose of this documentation is to provide a guide for authors and editors of blog posts and tech notes for the rOpenSci website. We created it after reviewing and publishing over 100 posts by community members, in hopes of addressing many frequently asked questions, and frequently given suggestions.
rOpenSci Statistical Software Peer Review
WEBWelcome to rOpenSci ’s system for peer-review of statistical software in R packages and beyond. This system extends our existing system for software peer review, through expanding the scope to include explicitly statistical software. As such, it is a direct extension of rOpenSci Packages: Development, Maintenance, and Peer Review.
Resources - rOpenSci
WEBResources. The purpose of this guide is to welcome you to rOpenSci and help you recognize yourself as a potential contributor. Software helping work with local and remote scientific data sources. Our best practice guide for R package development and peer-review. About our system for R package peer review.
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