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Reproducible Research in Computational Science: Problems and Solutions For Data and Code Sharing


Reproducible Research in Computational Science: Problems and Solutions For Data and Code Sharing


This video was recorded at 27th International Conference on Machine Learning (ICML), Haifa 2010. Scientific computation is emerging as absolutely central to the scientific method, but the prevalence of very relaxed practices is leading to a credibility crisis. Reproducible computational research, in which all details of computations—code and data—are made conveniently available to others, is a necessary response to this crisis. Results from a 2009 survey of the Machine Learning community (NIPS participants) designed to elucidate factors that affect data and code sharing will be presented. Intellectual property concerns create a significant barrier to sharing, and I will also present work on the "Reproducible Research Standard" giving open licensing options designed to create an intellectual... Show More
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