Reproducibility of computational inferences from data is widely recognized as an emerging issue in the scientific reliability of results. This talk will motivate the rationale for this shift, and I will present empirical research on data and code publication; the pilot project http://ResearchCompendia.org for large scale validation of statistical findings; and the "Reproducible Research Standard" for ensuring the distribution of legally re-usable data and code. Some of this research is described in the co-edited books "Implementing Reproducible Research" and "Privacy, Big Data, and the Public Good."
