RunMyCode.Org: A Novel Dissemination and Collaboration Platform for Executing Published Computational Results

8 Pages Posted: 18 Sep 2012

See all articles by Victoria Stodden

Victoria Stodden

University of Illinois at Urbana-Champaign - Graduate School of Library and Information Science

Christophe Hurlin

University of Orleans

Christophe Pérignon

HEC Paris - Finance Department

Date Written: September 15, 2012

Abstract

We believe computational science as practiced today suffers from a growing credibility gap – it is impossible to replicate 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.

Suggested Citation

Stodden, Victoria and Hurlin, Christophe and Pérignon, Christophe, RunMyCode.Org: A Novel Dissemination and Collaboration Platform for Executing Published Computational Results (September 15, 2012). Available at SSRN: https://ssrn.com/abstract=2147710 or http://dx.doi.org/10.2139/ssrn.2147710

Victoria Stodden

University of Illinois at Urbana-Champaign - Graduate School of Library and Information Science ( email )

United States

Christophe Hurlin

University of Orleans ( email )

Université d'Orléans
Rue de Blois B.P. 6739 45
France

Christophe Pérignon (Contact Author)

HEC Paris - Finance Department ( email )

1 rue de la Liberation
Jouy-en-Josas Cedex, 78351
France

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