Computational reproducibility, or the ability to reproduce results, tables, and other figures using the available data, code, and materials, through a process of reproduction, is necessary for instilling trust in science. Sharing data and code–the building blocks for reproducibility–allows researchers to build on top of each other’s work and illuminates tacit knowledge linked to the scientific process, thereby making science more inclusive.

Despite these benefits, reproducibility in the social sciences is surprisingly low. For example, in economics (where we are most familiar with existing evidence) reproduction audits of samples of papers in top journals suggest that less than…