IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v482y2012i7386d10.1038_nature10836.html
   My bibliography  Save this article

The case for open computer programs

Author

Listed:
  • Darrel C. Ince

    (Walton Hall, Milton Keynes MK7 6AA, UK)

  • Leslie Hatton

    (School of Computing and Information Systems, Kingston University, Kingston KT1 2EE, UK)

  • John Graham-Cumming

    (83 Victoria Street, London SW1H 0HW, UK)

Abstract

Scientific reproducibility now very often depends on the computational method being available to duplicate, so here it is argued that all source code should be freely available.

Suggested Citation

  • Darrel C. Ince & Leslie Hatton & John Graham-Cumming, 2012. "The case for open computer programs," Nature, Nature, vol. 482(7386), pages 485-488, February.
  • Handle: RePEc:nat:nature:v:482:y:2012:i:7386:d:10.1038_nature10836
    DOI: 10.1038/nature10836
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature10836
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/nature10836?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fabio Pesari & Giovanni Lagioia & Annarita Paiano, 2023. "Client‐side energy and GHGs assessment of advertising and tracking in the news websites," Journal of Industrial Ecology, Yale University, vol. 27(2), pages 548-561, April.
    2. Bistline, John E.T. & Merrick, James H., 2020. "Parameterizing open-source energy models: Statistical learning to estimate unknown power plant attributes," Applied Energy, Elsevier, vol. 269(C).
    3. van der Linden, Aart & de Olde, Evelien M. & Mostert, Pim F. & de Boer, Imke J.M., 2020. "A review of European models to assess the sustainability performance of livestock production systems," Agricultural Systems, Elsevier, vol. 182(C).
    4. DeCarolis, Joseph F. & Hunter, Kevin & Sreepathi, Sarat, 2012. "The case for repeatable analysis with energy economy optimization models," Energy Economics, Elsevier, vol. 34(6), pages 1845-1853.
    5. David Lovell & Vera Pawlowsky-Glahn & Juan José Egozcue & Samuel Marguerat & Jürg Bähler, 2015. "Proportionality: A Valid Alternative to Correlation for Relative Data," PLOS Computational Biology, Public Library of Science, vol. 11(3), pages 1-12, March.
    6. Stefan Pauliuk & Niko Heeren, 2020. "ODYM—An open software framework for studying dynamic material systems: Principles, implementation, and data structures," Journal of Industrial Ecology, Yale University, vol. 24(3), pages 446-458, June.
    7. Hunter, Kevin & Sreepathi, Sarat & DeCarolis, Joseph F., 2013. "Modeling for insight using Tools for Energy Model Optimization and Analysis (Temoa)," Energy Economics, Elsevier, vol. 40(C), pages 339-349.
    8. Christophe Hurlin & Christophe Pérignon, 2020. "Reproducibility Certification in Economics Research," Working Papers hal-02896404, HAL.
    9. Li, Kai & Yan, Erjia, 2018. "Co-mention network of R packages: Scientific impact and clustering structure," Journal of Informetrics, Elsevier, vol. 12(1), pages 87-100.
    10. Rodriguez Aseretto, Dario & Di Leo, Margherita & de Rigo, Daniele & Corti, Paolo & McInerney, Daniel & Camia, Andrea & San-Miguel-Ayanz, Jesús, 2013. "Free and open source software underpinning the european forest data centre," MPRA Paper 44121, University Library of Munich, Germany.
    11. Alsudais, Abdulkareem, 2021. "In-code citation practices in open research software libraries," Journal of Informetrics, Elsevier, vol. 15(2).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:482:y:2012:i:7386:d:10.1038_nature10836. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.