Ambitious workflows in R, such as machine learning analyses, can be difficult to manage. A single round of computation can take several hours to complete, and routine updates to the code and data tend to invalidate hard-earned results. You can enhance the maintainability, hygiene, speed, scale, and reproducibility of such projects with the drake R package.
Our 1-hour Call on Reproducible Research with R will include three speakers and 20 minutes for Q & A. Ben Marwick will introduce you to a research compendium, which accompanies, enhances, or is a scientific publication providing data, code, and documentation for reproducing a scientific workflow.
rOpenSci’s community is increasingly international and multilingual. While we have operated primarily in English, we now receive submissions of packages from authors whose primary language is not. As we expand our community in this way, we want to learn from the experience of other organizations. How can we manage our peer-review process and open-source projects to be welcoming to non-native English speakers?
“Security” can be a daunting, scary, and (frankly) quite often a very boring topic. BUT!, we promise that this Community Call on May 7th will be informative, engaging, and enlightening (or, at least not boring)! Applying security best practices is essential not only for developers or sensitive data storage but also for the everyday R user installing R packages, contributing to open source, working with APIs or remote servers.
Our next Community Call, on March 27th, aims to help people learn about using rOpenSci’s R packages to access and analyze taxonomy and biodiversity data, and to recognize the breadth and depth of their applications. We also aim to learn from the discussion how we might improve these tools.
We are pleased to announce the release of our new Code of Conduct. rOpenSci’s community is our best asset and it’s important that we put strong mechanisms in place before we have to act on a report. As before, our Code applies equally to members of the rOpenSci team and to anyone from the community at large participating in in-person or online activities.
🎤 Dan Sholler, rOpenSci Postdoctoral Fellow 🕘 Tuesday, December 18, 2018, 10-11AM PST; 7-8PM CET (find your timezone) ☎️ Details for joining the Community Call. Everyone is welcome. No RSVP needed. Researchers use open source software for the capabilities it provides, such as streamlined data access and analysis and interoperability with other pieces of the scientific computing ecosystem.
Although there are increasing incentives and pressures for researchers to share code (even for projects that are not essentially computational), practices vary widely and standards are mostly non-existent. The practice of reviewing code then falls to researchers and research groups before publication.
While many people groan at the thought of participating in a group ice breaker activity, we’ve gotten consistent feedback from people who have been to recent rOpenSci unconferences. We’ve had lots of requests for a detailed description of how we do it. This post shares our recipe, including a script you can adapt, a reflection on its success, examples of how others have used it, and some tips to remember.
rOpenSci’s software engineer / postdoc Jeroen Ooms will explain what images are, under the hood, and showcase several rOpenSci packages that form a modern toolkit for working with images in R, including opencv, av, tesseract, magick and pdftools. 🕘 Thursday, November 15, 2018, 10-11AM PST; 7-8PM CET (find your timezone) ☎️ Find all details for joining the call on our Community Calls page.Everyone is welcome. No RSVP needed.
