Ashleigh Novak is a spatial ecologist at the University of Massachusetts Dartmouth’s School for Marine Science & Technology (SMAST), focused on integrating tagging data into stock assessments that inform fisheries management. As a technical associate with the Fay Lab, Ashleigh participated at our first in-person Openscapes Workshop at NOAA NEFSC in February 2020 and shares her experiences here. She notes below that “given the current, global situation of transitioning to at-home research, our lab is leaning on many of the tools and skills learned from Openscapes.
Here is some tips about how to run remote workshops like we do in Openscapes, which was modeled after Mozilla Open Leaders program. This post was sparked by a question on Twitter asking for ideas/suggestions on virtual workshops, and is really one I meant to write a long time ago. I’ve structured it with practical guidance for remote workshops and small remote meetings, with more details and examples from Openscapes remote and mixed events as you continue reading.
Last week Openscapes had its first-ever in-person 2-day workshop at the National Oceanic and Atmospheric Administration (NOAA) with six teams of fisheries scientists from NOAA’s Northeast Fisheries Science Center (NEFSC), Woods Hole Oceanographic Institute (WHOI), and University of Massachusetts Dartmouth’s School for Marine Science & Technology (SMAST). It was really wonderful to meet and work with these thoughtful scientists in person, and to see them leave the workshop energized to strengthen teamwork and community-based learning around open data science.
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.