loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
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. 5 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
Usage of this product signifies your acceptance of the Terms of Use.