Do you have an account on the rOpenSci forum?As underlined in our contributing guide, our forum is where we encourage Q&A and exploration of ideas on a various range of topics .Compared to our Slack semi-open workspace, the forum is entirely open and much easier to search , so a great place to gather some collaborative knowledge!We have recently streamlined categories so that it might be
🔗What is renv RStudio’s renv package is a powerful dependency management toolkit for R. It allows you to create a lockfile that records the exact versions of R packages used in a given project, and provides tooling to install exactly those same versions on another machine, or at a later point in time. This is very useful to create an isolated project environment for reproducibility or production purposes.
We are thrilled to have been awarded new funding as part of the Chan Zuckerberg Initiative Open Science program’s education and capacity building strategy. This $400K grant will support a new project to enable more members of historically excluded groups to participate in, benefit from, and become leaders in the R, research software engineering, and open source and open science communities.
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?
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 🔗Community call: @ropensci-review-bot help!
🔗Continuous deployment in r-universe A major difference between r-universe and static repositories like CRAN and BioConductor is continuous deployment: packages in r-universe are continuously built in CI and immediately deployed to our package server. This package server stores binaries and metadata in a database, which enables us to dynamically query and expose all the package data through APIs, dashboards, feeds, etc.
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.
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.
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 0.7.0, you can read the changelog,or this blog post for more digested information. 🔗@ropensci-review-bot help: less TODOs, more simple commands!
I teach R to a lot of scientists, those that are new to science (i.e. students)as well as more established scientists, new to R.I find that after all their struggles of dealing with dates,or remembering where to put the comma, they’re so grateful to actual have an analysis,that they often forget or aren’t aware of the next steps.
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!