As an open access platform of the Harvard Data Science Initiative, the Harvard Data Science Review features foundational thinking, research milestones, educational innovations, and major applications, with a primary emphasis on reproducibility, replicability, and readability. It aims to publish contents that help to define and shape data science as a scientifically rigorous and globally impactful multidisciplinary field based on the principled and purposed production, processing, parsing and analysis of data. By disseminating inspiring, informative, and intriguing articles and media materials, HDSR aspires to be a global forum on “everything data science and data science for everyone.”
In collaboration with the National Academies of Sciences, Engineering, and Medicine (NASEM), HDSR will publish a special theme collection of articles on reproducibility and replicability in science. The articles are forthcoming in December.