We are excited to welcome Beatriz Milz and Margaret Siple to our team of Associate Editors for rOpenSci Software Peer Review.They join Laura DeCicco, Julia Gustavsen, Anna Krystalli, Mauro Lepore, Noam Ross, Maëlle Salmon, Emily Riederer, Adam Sparks, and Jeff Hollister.rOpenSci has been running a rigorous and collegial software peer review system since 2015.Editors manage the review process, performing initial package checks, identifying
Developing dendroNetwork as a package was not a goal from the beginning, but looking back, I think that it should have been. I wish someone had suggested making a package to me much earlier. Why? Because of many things, but mostly: reproducibility and transparency. This enables others to also use the method and software.
rOpenSci Software Peer Review’s guidance is gathered in an online book that keeps improving!This blog post summarises what’s new in our Dev Guide 0.9.0, with all changes listed in the changelog. Now available in Spanish!
I’m thrilled to share that CRediTas has passed peer review and been accepted to rOpenSci as well as to CRAN. I am glad to acknowledge the editor Emily Riedered and the two reviewers Marcelo S. Perlin and João Martins. Their comments and support were really insightful. CRediTas is a tiny package to facilitate the tedious job of creating CRediT authors statements for scientific publications.
I’m thrilled to share that waywiser, my R package focused on providing framework-agnostic (but tidymodels-friendly) methods for assessing models fit to spatial data 1 , has passed peer review and been accepted to rOpenSci.
rOpenSci is very excited to announce our first peer-reviewed statistical Rpackages! One of rOpenSci’s core programs is software peer-review, where we use bestpractices from software engineering and academic peer-review to improvescientific software. Through this, we aim to make scientific software morerobust, usable, and trustworthy, and build a supportive community of practitioners.
The online survey system Qualtrics can be a great way to collect data from research participants, customers, and stakeholders. I use it frequently to conduct research studies with participants or just to poll students and collaborators.
rOpenSci Software Peer Review’s guidance is gathered in an online book that keeps improving!This blog post summarises what’s new in our Dev Guide 0.8.0, with all changes listed in the changelog.Farewell Stefanie Butland After many years of fabulous contributions to the rOpenSci community, Stefanie Butland left the role of community manager at the start of 2022.
Anyone can contribute a software package to the rOpenSci suite as long as it fits our scope (research lifecycle software and statistical software) for a transparent, constructive, nonadversarial and open review.
rOpenSci Software Peer Review and Statistical Software Peer Review rely on the volunteer work of reviewers, and editors.Editors manage the day-to-day flow of submissions, recruit reviewers and guide the peer-review process from start to finish.
