Instrumentation bias in the use and evaluation of scientific software: recommendations for reproducible practices in the computational sciences
نویسندگان
چکیده
1 Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA 2 Department of Psychiatry, University of Iowa, Iowa City, IA, USA 3 SRI International, Menlo Park, CA, USA 4 Department of Psychiatry and Behavioral Science, Stony Brook University School of Medicine, Stony Brook, NY, USA 5 Massachusetts Institute of Technology, McGovern Institute for Brain Research, Cambridge, MA, USA 6 Kitware Inc., Clifton Park, NY, USA 7 Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA *Correspondence: [email protected]
منابع مشابه
Setting the Default to Reproducible Reproducibility in Computational and Experimental Mathematics Developed collaboratively by the ICERM workshop participants1 Compiled and edited by the Organizers
Science is built upon foundations of theory and experiment validated and improved through open, transparent communication. With the increasingly central role of computation in scientific discovery this means communicating all details of the computations needed for others to replicate the experiment, i.e. making available to others the associated data and code. The “reproducible research” moveme...
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عنوان ژورنال:
دوره 7 شماره
صفحات -
تاریخ انتشار 2013