DocumentCode :
1042082
Title :
Reproducible Research in Computational Harmonic Analysis
Author :
Donoho, David L. ; Maleki, Arian ; Rahman, Inam Ur ; Shahram, Morteza ; Stodden, Victoria
Author_Institution :
Stanford Univ., Stanford, CA
Volume :
11
Issue :
1
fYear :
2009
Firstpage :
8
Lastpage :
18
Abstract :
Scientific computation is emerging as absolutely central to the scientific method. Unfortunately, it´s error-prone and currently immature-traditional scientific publication is incapable of finding and rooting out errors in scientific computation-which must be recognized as a crisis. An important recent development and a necessary response to the crisis is reproducible computational research in which researchers publish the article along with the full computational environment that produces the results. In this article, the authors review their approach and how it has evolved over time, discussing the arguments for and against working reproducibly.
Keywords :
electronic publishing; harmonic analysis; mathematics computing; software packages; computational harmonic analysis; reproducible research; scientific publication; software publishing; Computational modeling; Computer errors; Data mining; Harmonic analysis; Image recognition; Information management; Laboratories; Large-scale systems; Logic testing; Scientific computing; computational science; reproducible research; scientific computing; scientific publication;
fLanguage :
English
Journal_Title :
Computing in Science & Engineering
Publisher :
ieee
ISSN :
1521-9615
Type :
jour
DOI :
10.1109/MCSE.2009.15
Filename :
4720218
Link To Document :
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