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Credibility Crisis in Computational Science

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Uploaded on Dec 21, 2011

Computation is emerging as central to the scientific enterprise. Like the other branches of the scientific method have done in the past, computational science must now develop standards of reproducibility and verifiability for published results. Currently, computational science is error-prone and immature—traditional scientific publication is incapable of finding and rooting out errors in scientific computation—which must be recognized as a crisis. A necessary response to this crisis is reproducible computational research in which researchers publish the article along with the full computational environment that produces the results. Journal editors, computational scientists, funding agencies, and institutional standards all have a role to play in encouraging the sharing of both data and code along with the published computational results. I discuss next steps in facilitating reproducibility from each of these vantage points, and highlights success stories building the movement toward really reproducible research.

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