Coding

Welcome! This illustrated series tells a story about why GitHub is so powerful for supporting, reusing, contributing, and failing safely. It is here as a blog post and also as slides to be most flexible for teaching. This complements the Tidy Data Illustrated Series and is a collaboration around open science, coding, teaching, and art. Please reuse & remix with your own communities: Download from https://github.com/allisonhorst/stats-illustrations Reuse/remix from this slide deck

Automated reporting in Tampa Bay with open science

By Marcus Beck in community

November 16, 2020

This is a guest blog by Marcus Beck that describes how the Tampa Bay Estuary Program (TBEP) is embracing open science principles and tools to create better science in less time. Marcus, along with TBEP Executive Director Ed Sherwood, both attended the NCEAS Open Science for Synthesis workshop in July 2017 at Santa Barbara. Marcus, Ed, and the rest of the TBEP team are working to bring open science to improve the management of Tampa Bay and extend their applications to the broader network of the 28 National Estuary Programs.

Tidy data for efficiency, reproducibility, and collaboration

By Julie Lowndes and Allison Horst in community

October 12, 2020

This illustrated series was a collaboration between Julie and Allison, who like to talk endlessly about data, code, teaching, open science, and art. We’ve been collaborating since the beginnings of Openscapes: Allison created all artwork for the Openscapes website and slides and was part of the inaugural Champions cohort. Here, we wanted these illustrations to tell a story about why tidy data is so powerful for efficiency, repeatability, and collaboration, but also stand alone to be most flexible for teaching.

Data Science as an Entryway to Open Publishing

By Julia Lowndes and Nicholas Tierney in community

August 25, 2020

In May 2020 we presented a virtual fireside chat at the Open Publishing Fest called “Data Science as an Entryway to Open Publishing”. The premise was that the open source R programming language is a powerhouse for data analysis and statistics – and it also is fueling open publishing through R Markdown and a large, engaged, and innovative community. We briefly showed community-created examples of tutorials, blogs, websites, manuscripts, books, etc, and discussed how they are an entryway to open science, preprints, and open scientific publishing.

Better Data Management for Better Data Science

By Darcy Bradley in community

July 6, 2020

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.

Developing reproducible workflows collaboratively

By Julien Brun, Julie Lowndes, Carrie Kappel in community

May 29, 2020

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.

Kick-starting scientific collaborations remotely

By Julie Lowndes, Carrie Kappel, Julien Brun in community

May 4, 2020

“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.

Our first Openscapes Workshop

By Julie Lowndes in community

March 6, 2020

Last week Openscapes had its first-ever in-person 2-day workshop (the Champions Program is remote-by-design so this was an in-person adaptation). The workshop was 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.

rOpenSci's leadership in #rstats culture

By Julie Lowndes in community

February 21, 2020

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.

R for Excel Users Workshop

By Allison Horst and Julie Lowndes in community

February 18, 2020

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.