Journal Club: Towards a more reproducible trait-based ecology
The authors talk about their paper - A protocol for reproducible functional diversity analyses
Debrief of SORTEE Code Club: Local Open Science Meet-ups - Tuesday September 17
Code Club returned from midyear break with a training session on local Open Science meet-ups. Kaija Gahm shared her experiences with running weekly “Hacky Hours” in her department at the University of California, Los Angeles, which serves as a collaborative coding and working space. We discussed the value of such local Open Science meet-ups and how to organize them.
Debrief of SORTEE Code Club: Workshop “Code your own website” - Tuesday June 18
In June’s Code Club session, Steffi LaZerte hosted a workshop on how to code our own website. By walking participants through the code underlying her own website, she showed us how to use Markdown and Quarto to create and host a website on GitHub.
Debrief of SORTEE Code Club: Hacky Hour Code Review Exercise - Tuesday May 21
In May’s Hacky Hour, we did a code review exercise using the 17-step checklist for Ecology and Evolution. Participants reviewed each other’s code or that of already published papers and discussed what would constitute the “perfect” piece of Open, Reliable and Transparent (ORT) code.
Debrief of SORTEE Code Club: Code Review Checklist for Ecology and Evolution - Tuesday April 16
In this month’s Training Session, Stefan Vriend, Freddy Hillemann and Joey Burant hosted a workshop on how to code review a manuscript, using a checklist they developed for Ecology and Evolution.
Debunking myths around open data
Introduction Scientific research has led to multiple advancements and methodological innovations. However, modern scientists function under constant time pressure to produce a high number of publications and statistically significant results, thus sometimes they resort to questionable research practices. In a survey that examined how widespread these practices are in the field of Ecology and Evolutionary Biology, the majority of participants admitted to having implemented a questionable practice in the past.