  The COVID-19 Open Research Dataset (CORD-19) is a growing resource of
scientific papers on COVID-19 and related historical coronavirus research.
CORD-19 is designed to facilitate the development of text mining and
information retrieval systems over its rich collection of metadata and
structured full text papers. Since its release, CORD-19 has been downloaded
over 200K times and has served as the basis of many COVID-19 text mining and
discovery systems. In this article, we describe the mechanics of dataset
construction, highlighting challenges and key design decisions, provide an
overview of how CORD-19 has been used, and describe several shared tasks built
around the dataset. We hope this resource will continue to bring together the
computing community, biomedical experts, and policy makers in the search for
effective treatments and management policies for COVID-19.

Digital Libraries;Computation and Language