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We are pleased to bring you the first volume of the Annual Review of Biomedical Data Science. It spans a range of biological and medical research challenges that are data intensive and focused on the creation of novel methodologies to advance biomedical science discovery. The term “data science” describes expertise associated with taking (usually large) data sets and annotating, cleaning, organizing, storing, and analyzing them for the purposes of extracting knowledge. It merges the disciplines of statistics, computer science, and computational engineering. Many are irritated by the term—all of science depends ultimately on data, and many of the activities listed above sound like engineering (which is about solving problems) and not science (which is about discovery of new knowledge). If “data science” is not about science and the adjective “data” has no particular meaning, why does this term exist?
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