• 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