Computational analyses are playing an increasingly central role in research. However, many researchers have not received training in best practices and tools for reproducibly managing and sharing their code and data. This is a step-by-step, practical webinar on managing your research code and data for computationally reproducible collaboration. The webinar starts with some brief introductory information about computational reproducibility, but the bulk of the webinar is guided work with code and data. Participants move through best practices for organizing their files, automating their analyses, documentation, and submitting their code and data for publication.
Prerequisites: Participants should bring their own wifi-enabled laptop.
Audience: Researchers who use code in their research and wish to share it.
1. Learn best practices for file organization, documentation, automation, and dissemination.
2. Assess possible tools for managing code and data.
3. Build a collaborative workspace for your code and data on Code Ocean.
April Clyburne-Sherin is an epidemiologist, methodologist, and expert in open science tools, methods, training, and community stewardship. She holds an MS in Population Medicine (Epidemiology). Since 2014, she has focused on creating curriculum and running workshops for scientists in open and reproducible research methods (Center for Open Science, Sense About Science, SPARC, Code Ocean) and is co-author of FOSTER's Open Science Training Handbook.