CORD-19: The COVID-19 Open Research Dataset
This dataset addresses the need for accessible research resources for the computing and biomedical communities during the COVID-19 pandemic, though it is incremental as it builds on existing data collection methods.
The paper introduces CORD-19, a dataset of scientific papers on COVID-19 and related coronaviruses, designed to support text mining and information retrieval systems, which has been downloaded over 200,000 times and used as the basis for many applications.
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.