Leveraging Containers for Reproducible Psychological Research

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

Automated summary

Containers have gained popularity in computing, software engineering, and scientific research. Despite being crucial for reproducible science, they have not yet become mainstream in psychology. This tutorial describes the logic behind containers, how to use them, practical problems they can solve, and provides examples of implementing containerization in research workflows using Docker and R.