Hi everyone, I'm excited to announce that I and several colleagues have just released the open, online version of our new book, "The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences" (to be published in print by the University of California Press) -
http://www.practicereproducibleresearch.org The book is based around 31 case studies of research workflows, contributed by academic scientists and engineers from a variety of disciplines, in which each author describes the key practices, tools, and methods that they used to try to make their research as reproducible as possible (you'll recognize many SWC instructors among the author list!). If reading 31 case studies sound like a bit much, we've also written a set of summary chapters (Part I of the book) that provides a basic overview of reproducible research and synthesizes lessons learned from across the contributed case studies. Chapter 4, my chapter on "The Basic Reproducible Workflow Template", might be of particular interest to this group for teaching purposes - it's based on the lesson that I use to teach basic reproducibility practices at SWC workshops. Anyway, please feel free to share widely, and please also feel free to get in touch with any questions or thoughts on the book. Best, Justin -- Justin Kitzes Energy and Resources Group Berkeley Institute for Data Science University of California, Berkeley _______________________________________________ Discuss mailing list [email protected] http://lists.software-carpentry.org/listinfo/discuss
