Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog. Now let’s dive into the activity at and around rOpenSci! 🔗 rOpenSci HQ We have no less than three categories of (online ?) even... [Read more...]

terrainr version 0.4.0 is now on CRAN! This version is a relatively minor update that shouldn’t impact most workflows, but makes some changes to improve the logic and consistency of the package. The rest of this post runs through the changes you... [Read more...]

Last Thursday we held a Community Call discussing how to set up a Package to Foster a Community. This call included speakers Maëlle Salmon, Hugo Gruson and Steffi LaZerte, and was moderated by Stefanie Butland. 🔗 Summarizing the communit... [Read more...]

Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog. Now let’s dive into the activity at and around rOpenSci! 🔗 rOpenSci HQ Are you interested in volunteering as a package reviewer ... [Read more...]

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How to join this free online event with Maëlle Salmon, Hugo Gruson, Steffi LaZerte and Stefanie Butland. Details coming soon! Resources Topic discussion on GitHub, Read the thread that led to this Community Call [Read more...]

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A week ago we held a Community Call discussing rOpenSci Statistical Software Testing and Peer Review. This call included speakers Noam Ross, Mark Padgham, Anna Krystalli, Alex Hayes, and John Sakaluk. This post provides a ready reference and descri... [Read more...]

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rOpenSci Software Peer Review’s guidance is gathered in an online book and keeps improving! To find out what’s new in our dev guide 0.6.0, you can read the changelog, or this blog post for more digested information. We have resumed activi... [Read more...]

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Scientists rarely cite research software they use as part of a research project. As a consequence, the software and the time spent developing and maintaining it becomes an invisible scholarly contribution. Furthermore, this lack of visibility means that incentives to produce high quality, sustainable software are missing. Among many reasons ... [Read more...]

A new R-package, coder, has been developed, peer-reviewed by rOpenSci, accepted by CRAN, and published in a paper by the Journal of Open Source Software (JOSS). In this blog post, I will explain why this package might be useful for (epidemiologi... [Read more...]

Make1-like pipelines enhance the integrity, transparency, shelf life, efficiency, and scale of large analysis projects. With pipelines, data science feels smoother and more rewarding, and the results are worthy of more trust. ...looking to get your project/s organised in the new year? hoping just to distract from feelings ... [Read more...]

Make1-like pipelines enhance the integrity, transparency, shelf life, efficiency, and scale of large analysis projects. With pipelines, data science feels smoother and more rewarding, and the results are worthy of more trust. ...looking to get your project/s organised in the new year? hoping just to distract from feelings ... [Read more...]

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