Cross-posted at emLab This is a guest post from Darcy Bradley, marine ecologist and Research Director of the Environmental Market Solution Lab’s Ocean Program at UC Santa Barbara. A leader in many realms, Darcy is thrilled to be a part of a community that celebrates open and reproducible data science; this post provides a glimpse into how she engaged that community to help her and her team improve project and data management for her research group.
Crossposted at NCEAS The National Center for Ecological Analysis and Synthesis (NCEAS) funds Working Groups of 15-20 scientists from across disciplines and sectors to collaborate on environmental synthesis science projects. In this time of pandemic, groups that would typically be meeting in person four times over ~two years are now faced with launching their projects virtually. NCEAS is providing training and support to help those teams kickstart their research collaborations remotely, and Openscapes was heavily involved in designing and leading the two remote learning modules.
“I was blown away at how effectively and productively you’ve led a virtual meeting – and I’m in a lot these days. People can be pretty passive”. This quote from a participant really captures what we were hoping to achieve in our first remote support module, “Efficient virtual collaboration & facilitation for synthesis science.” We wanted to not only discuss strategies for efficient collaboration and engage participants hands-on, but also model the behavior we were teaching.
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/2020/02/conf20-r-excel/ 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.
A conference for open data leaders I attended csv,conf,v4 in Portland, Oregon in May 2019. Here are a few reflections about the conference and a bit about my talk where I shared progress from the Openscapes Champions. csv,conf,v4 has a unique name and draws a unique and powerful crowd as a “community conference for data makers everywhere”. It is the only conference I’ve ever attended with a name stemming from a format for open data (comma separated value [CSV] files), and the only conference with scheduled time with a real-life therapy llama [Rojo the Comma Llama].
[Sea]side Chats for data workflows Seaside Chats. Bluffside Chats. Fishbowl Chats. Bayside Chats. This is where we discuss data workflows in the lab. One of the long-term goals of Openscapes is to change the culture about how we work with data — and that requires normalizing even talking about data. We need to be able to have meaningful conversations about data and data workflows: the strategies, the struggles, the successes.
updated with R for Excel Users resource Apr 2020 So you want to learn R So you want to learn R, where do you start? There are a lot of written and video tutorials and books and blogs online, but how do you navigate them? Our Ocean Health Index team put together a list of the resources we used to learn R that helped our team’s path to better science in less time.