With new data marketplaces and tools to publish datasets emerging, open data has once again become a hot topic among data practitioners. In this short post, Andrew Gelman considers the relationship between open data and study quality. He concludes that open data and study quality are two orthogonal factors, noting that although open data does not imply high study quality, open data can help improve study quality. Commenters also consider the relative importance of open data to study reproducibility.