Reproducibility is a hallmark of good science because it provides researchers with the tools to address computational errors and ensure the integrity of the results in scientific research. An inconsistency can be an important precursor to a new discovery, or reveal otherwise unidentifiable miscalculations. However, there is not currently a system that structures how computational scientific data is reported, published, and shared. When a newly reported scientific study has far-reaching implications, it is critical for the data to be accessible for others to recompute and verify. Our reports discuss the importance and challenges of fostering reproducibility in science.