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RunMyCode.org: a novel dissemination and collaboration platform for executing published computational results

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Author Info

  • Christophe Hurlin

    ()
    (LEO - Laboratoire d'économie d'Orleans - CNRS : UMR6221 - Université d'Orléans)

  • Christophe Pérignon

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - GROUPE HEC - CNRS : UMR2959)

  • Victoria Stodden

    (Columbia University - Columbia University)

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 RunMyCode.org 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 RunMyCode.org website from which a visitor can both download the associated code and data, and execute the code in the cloud directly through the RunMyCode.org website. This permits results to be verified through the companion webpage or on a user's local system. RunMyCode.org 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 RunMyCode.org, 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 RunMyCode.org and outline a vision of its future.

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Bibliographic Info

Paper provided by HAL in its series Working Papers with number halshs-00739233.

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Date of creation: 2012
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Handle: RePEc:hal:wpaper:halshs-00739233

Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00739233
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Web page: http://hal.archives-ouvertes.fr/

Related research

Keywords: reproducible research; reproducible computational science; dissemination platform; collaborative networks; cloud computing; executable papers; code sharing; data sharing; open science;

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