Manual of Best Practices Education
Manual of Best Practices, written by Garret Christensen (BITSS) with assistance from Courtney Soderberg (Center for Open Science), is a working guide to the latest “best practices” for transparent quantitative social science research. The manual is regularly updated on GitHub. For suggestions or feedback, contact email@example.com.
Open Science Training Initiative Education
Open Science Training Initiative (OSTI), provides a series of lectures in open science, data management, licensing and reproducibility, for use with graduate students and postdoctoral researchers. The lectures can be used individually as one-off information lectures in aspects of open science, or can be integrated into existing course curriculum. Content, slides and advice sheets for the lectures and other training materials are being gradually released on the GitHub repository as the official release versions become available.
Reproducible Research EducationOnline Course
Reproducible Research taught by Roger D. Peng, Jeff Leek, and Brian Caffoof of Johns Hopkins University is a course on Coursera that teaches methods to organize data analysis so that it is reproducible and accessible to others. In this course students will learn to write a document using R markdown, integrate live R code into a literate statistical program and compile R markdown documents using knitr and related tools.
Implementing Reproducible Research EducationTextbook
Implementing Reproducible Research by Victoria Stodden, Friedrich Leisch, and Roger D. Peng covers many of the elements necessary for conducting and distributing reproducible research. The book focuses on the tools, practices, and dissemination platforms for ensuring reproducibility in computational science.