By Justin Kitzes, University of California, Berkeley
We are very happy to announce the launch of our open, online book The Practice of Reproducible Research, to be published in print by the University of California Press later this year. In short, this book is designed to demonstrate and teach how research in the data-intensive sciences can be made more reproducible. The book centres on a collection of 31 contributed case studies, in which experienced researchers provide examples of how they combined specific tools, ideas, and practices in order to improve the reproducibility of a real-world research project. These case studies are accompanied by a set of synthesis chapters that introduce and summarise best practices for data-intensive reproducible research.
Within the overall context of reproducibility, our book focuses specifically on the goal of achieving computational reproducibility in individual research projects. We defined a research project as computationally reproducible if a second investigator can recreate the final reported results of the project, including key quantitative findings, tables, and figures, given only a set of files and written instructions. This focus reflects our belief that computational reproducibility forms a first and most foundational goal for individual investigators interested in the broad goals of reproducible… Continue Reading