Want to get some hands-on insights into running an open source community? Here’s an opportunity to work with me, rOpenSci’s Community Manager, on some non-code community-related work. I am looking for someone to work 1 day a week ... [Read more...]

rOpenSci HQ rOpenSci Announces a New $896k Award From The Gordon and Betty Moore Foundation to Improve the Scientific Package Ecosystem for R. We’re excited to announce a new member of our team! Introducing Mark Padgham, rOpenSci’s new Software Research Scientist NumFOCUS recognizes Melina Vidoni and Will Landau ... [Read more...]

Last year we reported on the joy of using commonmark and xml2 to parse Markdown content, like the source of this website built with Hugo, in particular to extract links, at the time merely to count them. How about we go a bit further and use the same approach to ... [Read more...]

Testing is a crucial component to any software package. Testing makes sure that your code does what you expect it to do; and importantly, makes it safer to make changes moving forward because a good test suite will tell you if a change has broken existing functionality. Our recent community ... [Read more...]

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We’re thrilled to be introducing a new member of our team. Mark Padgham has joined rOpenSci as a Software Research Scientist working full-time from Münster, Germany. Mark will play a key role in research and development of statistical software standards and expanding our efforts in software peer review, ... [Read more...]

The United States Deparment of Agriculture National Agricultural Statistics Service (USDA-NASS) provides a wide range of agricultural data that includes animal, crop, demographic, economic, and environmental measures across a number of geographies and time periods. This data is available by direct download or queriable via the Quick Stats interface. While ... [Read more...]

rOpenSci thrives because of volunteer contributions from community members - submitting and reviewing R packages, serving as editors for software peer review, writing blog posts, sharing information about packages and resources, contributing code and documentation and answering others’ questions. Recently our fiscal sponsor, NumFOCUS, gave us an opportunity to nominate ... [Read more...]

Studies of muscle physiology often rely on closed-source, proprietary software for not only recording data but also for data wrangling and analyses. Although specialized software might be necessary to record data from highly-specialized equipment, data wrangling and analyses should be free from this constraint. It’s becoming more common for ... [Read more...]

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Today we are pleased to announce that we have received new funding from the Gordon and Betty Moore Foundation. The $894k grant will help us improve infrastructure for R packages and enable us to move towards a science first package ecosystem for the R community. You may have already noticed ... [Read more...]

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Theme song: PSA by Jay-Z We announced the testing version of skimr v2 on June 19, 2018. After more than a year of (admittedly intermittent) work, we’re thrilled to be able to say that the package is ready to go to CRAN. So, what happened over the last year? And why ... [Read more...]

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rOpenSci HQ What would you like to hear about in an rOpenSci Community Call? We are soliciting your “votes” and new ideas for Community Call topics and speakers. Find out how you can influence us by checking out our new Community Calls repository. Videos, speaker’s slides, resources and collaborative ... [Read more...]

We want to know how you use rOpenSci packages and resources so we can give them, their developers, and your examples more visibility. It’s valuable to both users and developers of a package to see how it has been used “in the wild”. This goes a long way to ... [Read more...]

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As announced in February, we now have an online book containing all things related to rOpenSci software review. Our goal is to update it approximately quarterly - it’s time to present the third version. You can read the changelog or this blog post to find out what’s new ... [Read more...]

Image processing is one of the core focus areas of rOpenSci. Over the last few months we have released several major upgrades to core packages in our imaging suite, including magick, tesseract, and av. This post highlights a few cool new features. Magick 2.2 The magick package is one of the ... [Read more...]

citecorp is a new (hit CRAN in late August) R package for working with data from the OpenCitations Corpus (OCC). OpenCitations, run by David Shotton and Silvio Peroni, houses the OCC, an open repository of scholarly citation data under the very open CC0 license. The I4OC (Initiative for Open ... [Read more...]