rOpenSci’s second cohort of champions was onboarded!Their training started with a session on code style, which we will summarize here in this post.Knowing more about code quality is relevant to all Champion projects, be it creating a new package, submitting a package to software review, or reviewing a package.This training session consisted of a talk and discussion, whereas the next package development training sessions will be more hands-on.Why

We are pleased to open the call for the second cohort of Champions and Mentors for the rOpenSci Champions Program 🎉 ! This program will continue to support our goal of identifying, recognizing, and rewarding passionate community members who help the community grow and improve.

Why a Champions Program? Champion programs are designed to identify, recognize, and reward passionate community members. At rOpenSci, we recognize that there is a dismaying lack of diversity in the ecosystem of research software and open source communities. The R Community is no exception; its developers are overwhelmingly white, male, and from a handful of countries.

This blog post is intended to help you get started in rOpenSci community by highlighting some key links and activities. If you have questions, please get in touch with our Community Manager, Yanina Bellini Saibene by email or schedule a meeting. We are here for you as you begin your journey with our community. Welcome!Where do I get started? Glad you asked!

In the last post, we used the qualtRics ¹ package to import survey data directly from Qualtrics accounts.I often use Qualtrics for survey data collected via Amazon’s Mechanical Turk, which is an automated system that connects online respondents to paid surveys.However, sometimes those data are not super useful because the quality of the data is poor.In the anonymous, large-scale market of online survey respondents, the financial

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.

To give you an idea of where I am in my R developer germination, I’d just started reading about testing when I received an email from @rOpenSci inviting me to review the weathercan package. Many of us in the R community feel like imposters when it comes to software development. In fact, as a statistician, it was a surprise to me when I was recently called a developer.