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Implementing Reproducible Research
Editors: Victoria Stodden, Friedrich Leisch, Roger D. Peng
In many of today’s research fields, including biomedicine, computational tools are increasingly being used so that the results can be reproduced. Researchers are now encouraged to incorporate software, data, and code in their academic papers so that others can replicate their research results. Edited by three pioneers in this emerging area, this book is the first one to explore this groundbreaking topic. It presents various computational tools useful in research, including cloud computing, data repositories, virtual machines, R’s Sweave function, XML-based programming, and more. It also discusses legal issues and case studies.

The chapters of Implementing Reproducible Research are available for download for free. Click the links below to view and download contents.

Table of Contents
Yihui Xie
Juliana Freire
Andrew Davison
Philip Guo
Peter Murray-Rust, Dave Murray-Rust
Tanu Malik, Quan Pham, and Ian Foster
Practices and Guidelines
Jarrod Millman / Fernando Perez
C. Titus Brown
Holger Hoefling, Anthony Rossini
Luis Ibanez
Bill Howe
Open Science Collaboration
Mikio Braun, Cheng Soon Ong
Christophe Hurlin, Christophe Perignon, Victoria Stodden
Iain Hrynaszkiewicz, Peter Li, and Scott Edmunds
Victoria Stodden

About the Editors
Victoria Stodden is an Assistant Professor of Statistics at Columbia University, and affiliated with the Columbia University Institute for Data Sciences and Engineering. Her research centers on the multifaceted problem of enabling reproducibility in computational science. This includes studying adequacy and robustness in replicated results, designing and implementing validation systems, developing standards of openness for data and code sharing, and resolving legal and policy barriers to disseminating reproducible research. She is the developer of the award winning "Reproducible Research Standard," a suite of open licensing recommendations for the dissemination of computational results.

Roger D. Peng is an Associate Professor in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He is a prominent researcher in the areas of air pollution and health risk assessment and statistical methods for environmental health data. Dr. Peng is the the Associate Editor for Reproducibility for the journal Biostatistics and is the author of numerous R packages.

Friedrich Leisch is Head of the Institute of Applied Statistics and Computing at the University of Natural Resources and Life Sciences in Vienna. He is a member of the R Core Team the original creator of the Sweave system in R and has published extensively about tools for reproducible research. He is also a leading researcher in the area of high-dimensional data analysis.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 United States License.


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