A journal at the intersection of data science and journalism. Articles in the electronic and print versions of Data Science Quarterly are organized under four major sections:
- The Opinions section comprises op-eds with supporting documentation;
- The Research section presents research studies much like one would see in a peer-reviewed academic journal;
- The Cases section describes practical research problems, setting the stage for subsequent research; and
- The Reviews section includes commentary on technical books and data sources.
Submissions are accepted from people of all academic backgrounds and political persuasions. Self-promotion and product promotion are discouraged. Data Science Quarterly works with authors to ensure that articles conform to the journal’s style guide. See additional information at https://www.data-science-quarterly.com/