Working together to push science forward
Happy rOpenSci users can be found at
What is rrricanes Why Write rrricanes? There is a tremendous amount of weather data available on the internet. Much of it is in raw format and not very easy to obtain. Hurricane data is no different. When one thinks of this data they may be inclined to think it is a bunch of map coordinates with some wind values and not much else. A deeper look will reveal structural and forecast data....
Why care about patents? 1. Patents play a critical role in incentivizing innovation, without which we wouldn’t have much of the technology we rely on everyday What does your iPhone, Google’s PageRank algorithm, and a butter substitute called Smart Balance all have in common? …They all probably wouldn’t be here if not for patents. A patent provides its owner with the ability to make money off of something that they invented, without having to worry about someone else copying their technology....
The R package ecosystem now contains more than 10K packages, and several flagship packages belong under the rOpenSci suite. Some of these are: magick for image manipulation, plotly for interactive plots, and git2r for interacting with git. rOpenSci is a community of people making software to facilitate open and reproducible science/research. While the rOpenSci team continues to develop and maintain core infrastructure packages, an increasing number of packages in our suite are contributed by members of the extended R community....
It all started January 26th this year when I signed up to volunteer as a reviewer for R packages submitted to rOpenSci. My main motivation for wanting to volunteer was to learn something new and to contribute to the R open source community. If you are wondering why the people behind rOpenSci are doing this, you can read How rOpenSci uses Code Review to Promote Reproducible Science. Three months later I was contacted by Maëlle Salmon asking whether I was interested in reviewing the R package patentsview for rOpenSci....
At rOpenSci, we create and curate software to help scientists with the data life cycle. These tools access, download, manage, and archive scientific data in open, reproducible ways. Early on, we realized this could only be a community effort. The variety of scientific data and workflows could only be tackled by drawing on contributions of scientists with field-specific expertise. With the community approach came challenges. How could we ensure the quality of code written by scientists without formal training in software development practices?...
Happy rOpenSci users can be found at