I had the pleasure of writing a piece with Abby Cabunoc Mayes and Chad Sansing that was just published in Open Source Way called 3 lessons from remote meetings we’re taking back to the office. For me, this includes our scientific offices and labs. In this article we offer 3 lessons: Set an inclusive tone Provide robust documentation Choose the right tools This publication builds from a previous post, How to run a remote workshop, Openscapes/Open Leaders-style and conversations on Twitter.
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.
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.
Starting our #tidytuesday hacky hours This is our first community blog post by Openscapes Champion Allison Horst! Hi everyone! I’m Allison. I teach data analysis, statistics and presentation skills to graduate students at the Bren School of Environmental Science and Management at UC Santa Barbara. I’m also an Openscapes Champion. In Openscapes we discuss the need to create supportive spaces, like coding clubs, for useRs to practice and grow their coding skills.
[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.
How to start a coding club Summary: start small, be hands-on, use existing tutorials, have fun. Here is my advice for starting a coding club. An example is Eco-Data-Science at UCSB. We are currently a community of >100 people; we meet 2x/month at the UCSB Library’s Collaboratory and skill share peer-to-peer, with all resources organized and archived on the website. But we started off small, with co-founder Jamie giving tutorials to friends one-on-one.
Build communities Openscapes is built with the idea that we can model the open culture we want in science. It starts with making open data science more visible and valued in our communities. So what can you do? All of the following involve seeking out opportunities to engage and learn, including others, and amplifying your efforts. read publications about open data science in academia in journal clubs. Examples: Lowndes et al.