Since we often forget what reproducibility means, particularly in the context of repeatability and replicability, I think it is worth highlighting this slide, taken from a talk by Neil Chue Hong, “Open Software for Open Science,” Young Alliance Against Cancer, 22-23 May 2015, Copenhagen,



Since the Reproducible Scientific Computing blog created and curated by Doug Thain has become inactive, this is a repost from there.


Some work by the author was supported by the National Science Foundation (NSF) while working at the Foundation; any opinion, finding, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the NSF.


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Assistant Director for Scientific Software and Applications at NCSA, Research Associate Professor in CS, ECE, and the iSchool at the University of Illinois Urbana-Champaign; works on systems and tools (aka cyberinfrastructure) and policy related to computational and data-enabled research, primarily in science and engineering

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