rOpenSci’s package review system (aka onboarding) is one of our key activities to improve quality and sustainability of scientific R packages. The editorial team are constantly working towards improving the experience for both authors and reviewers. After our first year, we surveyed authors and reviewers who participated in our ...

Dr. Noam Ross [@noamross on Twitter] is a disease ecologist at EcoHealth Alliance in NYC, as well as an editor for rOpenSci. Topics of discussion included Noam’s history with R and rOpenSci, working in a team-driven research environment, and inspirations for pushing research processes and rOpenSci projects in exciting ...

If you read my reflection #1 on rOpenSci Onboarding, then you know I see value in the Onboarding process. A LOT of value even. This post is about where that value lies. This question has important corollaries which I will explore here based on my experience as a reviewer of bowerbird: ...

Hydrology is a concept to unify statistics, data analysis and numerical models in order to understand and analyze the endless circulation of water between the earth and its atmosphere. That’s a lot alike Data Science, isn’t it? Hydrologic Processes evolve in space and time, are extremely complex and ...

Olfactory Coding Detecting volatile chemicals and encoding these into neuronal activity is a vital task for all animals that is performed by their olfactory sensory systems. While these olfactory systems vary vastly between species regarding their numerical complexity, they are amazingly similar in their general structure. The periphery of olfactory ...

I am happy to say that the latest issue of The R Journal includes a paper describing rentrez, the rOpenSci package for retrieving data from the National Center for Biotechnology Information (NCBI). The NCBI is one of the most important sources of biological data. The centre provides access to information ...

I love working with R and have been sharing the love with my friends and colleagues for almost seven years now. I’m one of those really annoying people whose response to most analysis-related questions is “You can do that in R! Five minutes, tops!” or “Three lines of code, ...

rOpenSci is holding our annual staff and leadership meeting in Vancouver, so we’re taking the opportunity to share what we do and, if you’re interested, how you can get involved. Join us for a series of 7 short talks and demos f...

rOpenSci’s mission is to enable and support a thriving community of researchers who embrace open and reproducible research practices as part of their work. Since our inception, one of the mechanisms through which we have supported the community is by developing high-quality open source tools that lower barriers to ...

Dr. Julia Stewart Lowndes [@juliesquid on Twitter] is the Science Program Lead for the Ocean Health Index and works at the National Center for Ecological Analysis and Synthesis. She and Sean Kross discussed how data science, open science, and community can help reproducibility in research. [This interview occurred at the 2017 ...

For a fifth year running, we are excited to announce the rOpenSci unconference, our annual event loosely modeled on Foo Camp. rOpenSci unconferences have a rich history. You can get a feel for them by reading collected stories about people and projects from unconf17. We’re organizing unconf18 to bring ...

The drake R package is a pipeline toolkit. It manages data science workflows, saves time, and adds more confidence to reproducibility. I hope it will impact the landscapes of reproducible research and high-performance computing, but I originally created it for different reasons. This post is the prequel to drake’s ...

We’re very pleased to be introducing someone who needs no introduction in the R community. Join us in welcoming Maëlle Salmon to rOpenSci as a Research Software Engineer (part time, working from Nancy, France). We’d like to formally introduce her here and share a bit about the ...