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].
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.
RStudio Conference culture I attended RStudio::conf this year and there is so much to report from a conference that gathers 1700 attendees from industry and academia and disciplines of all kinds. The conference centered around innovations, motivations, and communities around the R programming language and there are many excellent summary blogs. Here I will focus on how the conference felt, and how to think about replicating this feeling at conferences, workshops, meetings, and lab groups.
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. But this might still not be helpful for where you should actually start.
.rProfile Julia Stewart Lowndes This interview was originally published by rOpenSci on February 9, 2018 as part of the .rprofile series. [This interview occurred at the 2017 rOpenSci unconference] SK: I’m Sean Kross, I’m the CTO of the Johns Hopkins Data Science Lab. Today I’m interviewing Julia Stewart Lowndes. Julia, what is your current preferred job title? JSL: I’m calling myself a marine data scientist - I’m the Science Program Lead for the Ocean Health Index.