a novel dissemination and collaboration platform for executing published computational results

Abstract : We believe computational science as practiced today suffers from a growing credibility gap - it is impossible toreplicate most of the computational results presented at conferences or published in papers today. We argue that this crisis can be addressed by the open availability of the code and data that generated the results, in other words practicing reproducible computational science. In this paper we present a new computational infrastructure called that is designed to support published articles by providing a dissemination platform for the code and data that generated the their results. Published articles are given a companion webpage on the website from which a visitor can both download the associated code and data, and execute the code in the cloud directly through the website. This permits results to be verified through the companion webpage or on a user's local system. also permits a user to upload their own data to the companion webpage to check the code by running it on novel datasets. Through the creation of "coder pages" for each contributor to, we seek to facilitate social network-like interaction. Descriptive information appears on each coder page, including demographic data and other companion pages to which they made contributions. In this paper we motivate the rationale and functionality of and outline a vision of its future.
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Contributor : Christophe Hurlin <>
Submitted on : Saturday, October 6, 2012 - 11:49:45 AM
Last modification on : Tuesday, February 19, 2019 - 1:14:02 PM
Long-term archiving on : Monday, January 7, 2013 - 3:00:08 AM


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  • HAL Id : halshs-00739233, version 1



Christophe Hurlin, Christophe Pérignon, Victoria Stodden. a novel dissemination and collaboration platform for executing published computational results. 2012. ⟨halshs-00739233⟩



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