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Activity Number: 212 - An Emerging Ecosystem for Data Science/Statistics Education
Type: Invited
Date/Time: Monday, July 30, 2018 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Education
Abstract #326816 Presentation
Title: Authoring and Utilizing Open Source, Reproducible Statistics/Data Science Textbooks
Author(s): Alicia A Johnson*
Companies: Macalester College
Keywords: open access; open source; reproducibility; textbook; publishing; Bookdown

Open source, open access, and reproducible materials are essential to the modern practice of statistics and data science. Combined, these provide (free!) code, data, and software that users can directly implement, modify, and use to verify findings. In this talk we will discuss how the statistics / data science textbook publication model can align with and utilize these best practices. The release of the RStudio Bookdown package facilitates this process. Through Bookdown, authors can publish reproducible and fully customizable textbooks that integrate markdown, code, visualizations, interactivity, and text. We will present first steps for authors of and users looking to adopt open source and open access textbooks, as well as existing examples ranging from an introductory textbook (Modern Dive) to an advanced undergraduate textbook on Bayesian statistics.

Authors who are presenting talks have a * after their name.

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