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By Kitzes Justin
Justin Kitzes, 2017
This volume presents practical examples of how researchers in data-intensive fields enhance the reproducibility of their projects. Thirty-one case studies detail the workflows employed to complete real-world research, illustrating the integration of specific tools, concepts, and practices. The focus is on the 'how-to' of conducting reproducible research, rather than its theoretical underpinnings. The book includes an introduction to reproducible research, a template for basic projects, and a synthesis of lessons learned.