The Growing Importance of Reproducibility and Responsible Workflow in the Data Science and Statistics Curriculum.

An editorial is presented which discusses the importance of reproducibility and responsible workflow in the data science and statistics curriculum. It mentions the importance of workflow and reproducibility in data science and statistics education and how it is increasingly being emphasized in many secondary and post-secondary classrooms. It also mentions the challenges in incorporating sound workflow and reproducible analysis in courses and programs.