The Practice of Reproducible Research

Justin Kitzes, Daniel Turek, Fatma Deniz

University of California Press
October 2017

The Practice of Reproducible Research presents concrete examples of how researchers in the data-intensive sciences are working to improve the reproducibility of their research projects. Each of the thirty-one case studies in this volume describes the workflow that an author used to complete a real-world research project, highlighting how particular tools, ideas, and practices have been combined to support reproducibility. Emphasis is placed on the very practical how, rather than the why or what, of conducting reproducible research.
 
Part 1 contains an accessible introduction to reproducible research, a basic reproducible research project template, and a synthesis of lessons learned from across the thirty-one case studies. Parts 2 and 3 contain the case studies themselves. The Practice of Reproducible Research is an invaluable resource for students and researchers who wish to better understand the practice of data-intensive sciences and learn how to make their own research more reproducible.



Featured Fellows

Justin Kitzes

Energy & Resources Group
Alumni - DATA SCIENCE FELLOW

Daniel Turek

Statistics & ESPM
Alumni - Data Science Fellow

Fatma Deniz

Neuroscience, International Computer Science Institute
Alumni - DATA SCIENCE FELLOW