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The Practice of Reproducible Research

Case Studies and Lessons from the Data-Intensive Sciences

Justin Kitzes (Hrsg.)

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University of California Press img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Geowissenschaften

Beschreibung

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. In each of the thirty-one case studies in this volume, the author or team describes the workflow that they used to complete a real-world research project. Authors highlight how they utilized particular tools, ideas, and practices to support reproducibility, emphasizing the very practical how, rather than the why or what, of conducting reproducible research.
 
Part 1 provides 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 focus on 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.

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political behavior, real world, climate change, statistical analysis, statistics, academic research, statistical methods, research project, scientific data, social media, ecology, research ethics, case studies, academic study, data, science, researchers, research projects, politics, reproducible research, research skills, workflow, anthology, practical