rOpenSci
NumFOCUS Sponsored Project since 2014rOpenSci creates 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. rOpenSci also creates social infrastructure through a welcoming and diverse community, and promotes advocacy for a culture of data sharing and reusable software.
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Industry
Business & Industry Applications
Language
R
Features
Data Wrangling
Visualization
Statistical Computing
Data Mining
Text Processing
Subject Area Libraries
Educational Outreach
Version control
rOpenSci creates packages that allow access to data repositories through the R statistical programming environment. We develop open source R packages that provide programmatic access to a variety of scientific data, full-text of journal articles, and repositories that provide real-time metrics of scholarly impact. Use our packages to acquire data (both your own and from various data sources), analyze it, add in your narrative, and generate a final publication in any one of widely used formats such as Word, PDF, or LaTeX. Our tools not only facilitate drawing data into an environment where it can readily be manipulated, but also one in which those analyses and methods can be easily shared, replicated, and extended by other researchers.