Cross-posted on rOpenSci At their closing keynote at the 2020 RStudio Conference, Hilary Parker and Roger Peng mentioned that they hatched the idea for their excellent Not So Standard Deviations podcast following their reunion at the 2015 rOpenSci unconf, (“runconf15”). That statement went straight to my heart because it pin-pointed how I had been feeling throughout the week of RStudio Conference that I had been unable to name. At rstudio::conf, I was surrounded by so many of the incredible people I had met at that very same runconf15.
tl;dr: all workshop materials are available here: GitHub: https://github.com/rstudio-conf-2020/r-for-excel Book: https://rstudio-conf-2020.github.io/r-for-excel/ Slides Cross posted: https://education.rstudio.com/blog License: CC BY-SA 4.0 Background We were thrilled to co-teach the R for Excel Users workshop at rstudio::conf(2020)! From early on in our weekly early-morning work sessions and brainstorming hikes, we knew that our R for Excel Users workshop would not be about wholesale translating Excel operations into R. Instead, it would be a more holistic approach to reproducible analyses with R – a friendly introduction to becoming a modern R user.
Last week Openscapes went to the RStudio Conference! This is a brief summary of a conference that truly made history, both globally as RStudio announced it is a Public Benefit Corporation, and personally for me, since it marked five years of being part of the #rstats community. It is brief (and does not begin to provide a full summary!), but will be complemented by forthcoming blogs. Art played a big role at the conference.
Dr. Lauren Buckley spent her fall sabbatical at NCEAS, where she chatted with Julie Lowndes about her lab practices and open data science. Here she shares how she is using practices from Openscapes in her own research group at the University of Washington. Learn more about her research at faculty.washington.edu/lbuckley. Thermal art of the Getty Museum by one of Dr. Buckley’s research initiatives @trenchproject.
Openscapes’ vision is a scientific culture that is more efficient and collaborative, and can uncover data-driven solutions faster. We engage and empower scientists with open data science, which not only increases transparency and reproducibility in science, but also enables kinder science. This is a brief recap of how we began doing this in 2019 and how we will continue in 2020. 2019 Review 2019 was a big year for Openscapes, full of firsts, excitement, and a lot of learning.
Towards kinder science Earlier this week I published a piece in Scientific American called Open software means kinder science. It’s about how open source is not only good for science, it’s good for scientists. Having science be not only more transparent and reproducible but also more kind and inclusive is a huge part of what Openscapes is working towards. Art by Allison Horst Open science is not just about improving the way we share data and methods; it is also about improving the way we think, work and interact with each other.
Supercharging research with open data science and teamwork Today we published a piece in Nature’s Career Column called Supercharge your research: A 10-week plan for open data science, and we are so thrilled to share this with the community. Co-authored with group leads from our inaugural Openscapes cohort – Halley Froehlich, Allison Horst, Nishad Jayasundara, Malin Pinsky, Adrian Stier, Nina Therkildsen, and Chelsea Wood – it really summarizes what we learned with the entire first cohort of Openscapes Champions and aims to welcome others to engage in open data science.
This article is cross-posted on medium.com In July 2019 I gave the opening keynote at the useR! Conference, the R language’s premiere gathering that has occurred annually throughout the world since 2004. It was, needless to say, an incredibly huge honor. And perhaps an unexpected one for a marine ecologist. But the R community has been so impactful on my science and life, and this was the opportunity to try to articulate its importance back to the community and to welcome others.
Wins from the inaugural Champions cohort This article was originally published on medium.com Last month we concluded our inaugural cohort of Openscapes Champions, and have just completed posting their individual case studies of their accomplishments and momentum (see blogs over the last two weeks). This post will be an incomplete summary of their awesome accomplishments across all labs, but it is a start! And the most exciting thing is that this is just the beginning of their impact on the future of environmental open data science.
Champions Case Study: Froehlich Lab We have just concluded our inaugural cohort of Openscapes Champions. While sad to conclude, all Champion labs have so many exciting accomplishments and so much momentum for open data science, and it is truly just the beginning. Here we are posting individual case studies of accomplishments from Champions labs. The Froehlich Lab will be at the University of California at Santa Barbara, established on July 1, 2019.