FAIR Data Science

Book project on reproducible, findable, accessible, interoperable, and reusable data-science workflows for empirical research.

This book project focuses on FAIR (Findable, Accessible, Interoperable, and Reusable) principles in data science, offering methodologies and insights for the research community. This project is a collaboration with T. Dimpfl.