At rOpenSci we are creating packages that allow access to data repositories through the R statistical programming environment that is already a familiar part of the workflow of many scientists. 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.
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. Visit our packages section for a full list of production and development versions of packages.
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. Combine our tools with the rich ecosystem of existing R packages.
Dive into detailed tutorials for our packages, look through various use-cases, or submit some of your own!