Reproducible Research in Computational Harmonic Analysis

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 importan...

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Bibliographic Details
Published inComputing in science & engineering Vol. 11; no. 1; pp. 8 - 18
Main Authors Donoho, David L., Maleki, Arian, Rahman, Inam Ur, Shahram, Morteza, Stodden, Victoria
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Computation
Computational modeling
computational science
Computer errors
Data mining
Documents
Errors
Fourier analysis
Harmonic analysis
Image recognition
Information management
Laboratories
Large-scale systems
Logic testing
Recognition
reproducible research
Scientific computing
scientific publication
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1521-9615
1558-366X
DOI:10.1109/MCSE.2009.15