Journal Club: On open science, error correction and the imperfect scientist
The authors discuss the potential for data and coding error correction during pre-submission and the actions that can be taken to embrace this potential.
The authors discuss the potential for data and coding error correction during pre-submission and the actions that can be taken to embrace this potential.
Publishing our code and data is an important Open, Reliable, and Transparent practice to ensure the reproducibility of research. To facilitate the production and reviewing of code, Arthur Rodrigues and Natalie van Dis hosted the Code Club meetings of October and November with a Hackathon aimed at Creating a Code Standard.
The authors provide a step-by-step guide to make sense of complex models using data simulations and discuss their recent paper.
The authors talk about their paper - A protocol for reproducible functional diversity analyses
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.
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.
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