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When data is not enough

Published:23 November 2015Publication History
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Abstract

Reproducibility of code is increasingly crucial to verifying scientific claims.

References

  1. Ince, D.C., Hatton, L., and Graham-Cummig, J. The case for open computer programs. Nature 482:485-488 (2012). doi:10.1038/nature10836Google ScholarGoogle ScholarCross RefCross Ref
  2. Stodden, V., Borwein, J., and Bailey, D., "Setting the default to reproducible" in Computational Science Research. SIAM News, June 03, 2013 http://sinews.siam.org/DetailsPage/tabid/607/ArticleID/351/Google ScholarGoogle Scholar
  3. Stodden, V., Leisch, F., and Peng, R.D., Implementing Reproducible Research. CRC Press, 2014, https://books.google.com/books?id=WVTSBQAAQBAJGoogle ScholarGoogle ScholarCross RefCross Ref
  4. Stodden, V., Opportunities and Challenges for Open Data and Code: Facilitating Reproducibility. 2013, http://bit.ly/1MzGSBBGoogle ScholarGoogle Scholar
  5. Baggerly, K., The Importance of Reproducible Research in High-Throughput Biology: Case Studies in Forensic Bioinformatics. 2010, http://bit.ly/1EEUWmMGoogle ScholarGoogle Scholar

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  1. When data is not enough

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          cover image Communications of the ACM
          Communications of the ACM  Volume 58, Issue 12
          December 2015
          115 pages
          ISSN:0001-0782
          EISSN:1557-7317
          DOI:10.1145/2847579
          • Editor:
          • Moshe Y. Vardi
          Issue’s Table of Contents

          Copyright © 2015 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 23 November 2015

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