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Changing computational research. The challenges ahead

Cameron Neylon12*, Jan Aerts3, C Titus Brown4, Simon J Coles5, Les Hatton6, Daniel Lemire7, K Jarrod Millman8, Peter Murray-Rust9, Fernando Perez8, Neil Saunders10, Nigam Shah11, Arfon Smith12, Gaël Varoquaux13 and Egon Willighagen14

Author Affiliations

1 Science and Technology Facilities Council, Didcot, Harwell Oxford, UK

2 Public Library of Science, San Francisco, USA

3 Leuven University, Heverlee, Belgium

4 Michigan State University, East Lansing, MI, USA

5 University of Southampton, Southampton, UK

6 Oakwood Computing Associates Ltd, Surrey, UK

7 LICEF Research Centre, Montreal, QC, Canada

8 University of California, Berkeley, USA

9 University of Cambridge, Cambridge, UK

10 CSIRO, Sydney, Australia

11 National Center for Biomedical Ontology, Stanford, USA

12 Adler Planetarium, Chicago, USA

13 INRIA, Saclay, France

14 Maastricht University, Maastricht, Netherlands

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Source Code for Biology and Medicine 2012, 7:2  doi:10.1186/1751-0473-7-2

Published: 28 May 2012

First paragraph (this article has no abstract)

The past year has been an interesting one for those interested in reproducible research. There have been great examples of replicability [1,2] in research communication, and examples of horrifying failure of reproducibility (as described in [3]) with serious questions being raised on the ability of our current system of research communication to guarantee, or even encourage, that published research be reproducible or replicable.