Leveraging Containers for Reproducible Psychological Research

Containers have become increasingly popular in computing and software engineering are gaining traction scientific research. They allow packaging up all code dependencies to ensure that analyses run reliably across a range of operating systems versions. Despite being crucial component for reproducible science, containerization has yet mainstream psychology. In this tutorial, we describe the logic behind containers, what they are, practical problems can solve. We walk reader through implementation within research workflow with examples using Docker R. Specifically, how use existing build personalized share containers alongside publications. provide worked example includes steps required set container project easily be adapted extended. conclude discussion possibilities afforded by large-scale adoption containerization, especially context cumulative, open toward more efficient inclusive ecosystem.