NOTE: Accepted in principle at Meta-Psychology, submission number MP2018.892, link: https://osf.io/ps5ru/. Anyone can participate in peer review by sending the editor an email, or through discussion on social media. The preferred way of open commenting, however, is to use the hypothes.is integration at PsyArXiv and directly comment on this preprint. Editor: Rickard Carlsson, rickard.carlsson@lnu.seWebsite: https://open.lnu.se/index.php/metapsychology ABSTRACT: Scientific progress relies on the replication and reuse of research. However, despite an emerging culture of sharing code and data in psychology, the research practices needed to achieve computational reproducibility -- the quality of a research project entailing the provision of sufficient code, data and documentation to allow an independent researcher to re-obtain the project's results -- are not widely adopted. Historically, the ability to share and reuse computationally reproducible research was technically challenging and time-consuming. One welcome development on this front is the advent of containers, a technology intended to facilitate code sharing for software development. Containers, however, remain technically demanding and imperfectly suited for research applications. This editorial argues that the use of containers adapted for research can help foster a culture of reproducibiliy in psychology research. We will illustrate this by introducing Code Ocean, an online computational reproducibility platform. (Disclaimer: the authors work for Code Ocean.)