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This disconnect between experimental results and publications becomes a potential host for unintentional bias and experimental defects to remain unnoticed, making it difficult for reviewers to verify, and for follow-up experiments to continue the work in question. In 2015 we have seen a stream of high-profile retractions from some of the highest scored journals that illustrate this problem.  \subsection{Facets of Transparency}  We To contrast, we  offer a brief enumeration of the positive impact of the transparency of methodology and data on the scientific process: \subsubsection{Reproducibility}  Correctly repeating the experiment and arriving at the same results is foundational for arriving at scientific truths. That is only possible for third-party scientists if the process is explicitly described in full detail. That includes a range of diverse techniques, from experimental protocols and equipment specifications to exact computational methods and programs, as well as mathematical proof steps and derivations.