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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
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    Citations

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    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. Colliard, Jean-Edouard & Hurlin, Christophe & Pérignon, Christophe, 2019. "Reproducibility Certification in Economics Research," HEC Research Papers Series 1345, HEC Paris.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    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).

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