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AAAS Symposium: New research facilitates scientific knowledge transfer
Date:2/19/2011

nd Gavish's Universal Identifier for Computational Results which creates a registry for computational results that provides replication and citation information; Stodden's Reproducible Research Standard, a suite of open licenses to bring the intellectual property framework faced by computational scientists in line with longstanding scientific norms; Baggerly's case study of the widely discussed 2010 terminated clinical trials at Duke occurring in part because of efforts by his lab to reproduce the associated studies; and Liberman's technical communication methodologies learned from the DARPA Speech and Language Program.

The AAAS symposium highlights how such knowledge transfer can detect flawed science and the importance of reproducibility for error control. Open code and data permits computational science to achieve standards for reproducibility that characterize the scientific endeavor, and maximize the wide availability of scientific knowledge.


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Contact: Beth Kwon
beth.kwon@columbia.edu
212-854-6581
Columbia University
Source:Eurekalert

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