Best Practices for Computational Science: Software Infrastructure and Environments for Reproducible and Extensible Research

9 Pages Posted: 8 Sep 2013  

Victoria Stodden

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

Sheila Miguez

Columbia University

Date Written: September 6, 2013

Abstract

Scholarly dissemination and communication standards are changing to reflect the increasingly computational nature of scholarly research, primarily to include the sharing of the data and code associated with published results. This paper presents a formalized set of best practice recommendations for computational scientists wishing to disseminate reproducible research, facilitate innovation by enabling data and code re-use, and enable broader communication of the output of digital scientific research. We distinguish two forms of collaboration to motivate choices of software environment for computational scientific research. We also present these Best Practices as a living, evolving, and changing document on wiki.

Keywords: best practices, reproducible research, archiving, data sharing, code sharing, wiki, open science, computational science, scientific method

Suggested Citation

Stodden, Victoria and Miguez, Sheila, Best Practices for Computational Science: Software Infrastructure and Environments for Reproducible and Extensible Research (September 6, 2013). Available at SSRN: https://ssrn.com/abstract=2322276 or http://dx.doi.org/10.2139/ssrn.2322276

Victoria Stodden (Contact Author)

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

United States

Sheila Miguez

Columbia University ( email )

3022 Broadway
New York, NY 10027
United States

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