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January/February 2009 (vol. 11 no. 1)
pp. 5-7
Sergey Fomel, University of Texas at Austin
Jon F. Claerbout, Stanford University
Reproducibility is a core principle of science. For computational experiments to become reproducible, one needs to develop a system for linking scientific publications with computational recipes. Articles in this special issue argue in favor of computational reproducibility and describe several practical approaches to reproducible research.

1. M. Schwab, M. Karrenbach, and J. Claerbout, "Making Scientific Computations Reproducible," Computing in Science &Eng., vol. 2, no. 6, 2000, pp. 61–67.
2. S. Fomel and G. Hennenfent, "Reproducible Computational Experiments Using SCons," Proc. IEEE Int'l Conf. Acoustics, Speech and Signal Processing, vol. 4,IEEE CS Press, 2007, pp. 1257–1260.
3. R. Gentleman, "Reproducible Research: A Bioinformatics Case Study," Statistical Applications in Genetics and Molecular Biology, vol. 4, no. 1, 2005, pp. 1–23.

Index Terms:
computational science, reproducible research, intellectual property, scientific publications
Citation:
Sergey Fomel, Jon F. Claerbout, "Guest Editors' Introduction: Reproducible Research," Computing in Science and Engineering, vol. 11, no. 1, pp. 5-7, Jan.-Feb. 2009, doi:10.1109/MCSE.2009.14
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