The rOpenSci community is supported by our Code of Conduct with a clear description of unacceptable behaviors, instructions on how to make a report, and information on how reports are handled. We, the Code of Conduct Committee, are responsible for receiving, investigating, deciding, enforcing and reporting on all reports of potential violations of our Code.

Our community is our best asset. It’s so important to us, it’s in our mission statement. We recognize that communities are not inclusive by default; they require deliberate attention, including an enforceable Code of Conduct. rOpenSci is committed to providing a safe, inclusive, welcoming, and harassment-free experience for everyone.

Can you think of an rOpenSci community member that you’d like to thank?A reviewer who helped you improve your package?Someone who answered your question?A community call speaker from whom you gained insight?Someone who encouraged you behind the scenes?

When GitHub announced support for CITATION.cfffiles I though ofcreating a package that would assist R developers in this matter. I was alreadyusing codemetar for most of my packages,so I was familiar with the creation of these kind of metadata files.

A new R package, cffr, has beendeveloped,peer-reviewed byrOpenSci and accepted by CRAN. Thispackage has a single purpose: to create a valid CITATION.cff file using themetadata of any R package.CITATION.cff files and why they matter A Citation File Format (CFF) is aplain text file with human- and machine-readable citation information forsoftware (and datasets) ¹ . Under the hood, a CFF file is a YAML file.

terrainr version 0.4.0 is now on CRAN! This version is a relatively minor updatethat shouldn’t impact most workflows, but makes some changes to improve thelogic and consistency of the package. The rest of this post runs through thechanges you can expect if you update.packages any time soon!What’s a terrainr? terrainr is an R package for theretrieval and visualization of spatial data.

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 community call Scientific software development - and with that R packages - is a community effort.

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.

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 (epidemiological/medical/health care related) research.Clinical mess Once upon a time, in countries not far from ours, there were MDs and nurses making up funny names for any diseases they encountered.

Make ¹ -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. targets install.packages("targets") The targets ² package is a new pipeline toolkit for R.It recently cleared software review, and it is now on CRAN.