CORD-19 Consolidates 45,000 Coronavirus Scholarly articles for Researchers

The Allen Institute for AI has introduced the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a free, open-source database that includes 45,000 scholarly articles about COVID-19 and the coronavirus family of viruses. The goal is to streamline access to this pertinent set of resources to the research community around the world.

The institute has published a CORD-19 Explorer as a simple and fast way to search the CORD-19 database. Natural language processing can also be applied to the dataset to help navigate the wealth of information. For those interested in downloading the entire dataset, visit the institute's coronavirus site.

Kaggle, a Google company dedicated to data science, is hosting a  COVID-19 Open Research Dataset Challenge. The challenge encourages researchers to use CORD-19 to uncover insights about COVID-19. Kaggle's challenge is one of many steps Google and the open-source community have taken to help combat the COVID-19 pandemic.

In addition to CORD-19, the Allen Institute has published a list of additional COVID-19 related datasets and resources, that can be found at its coronavirus site. Further, the institute has a host of tools to help navigate these many resources using the latest AI technology. Those include the CORD-19 explorer, SciSpacy, SciBERT, Semantic Scholar API, Open Research Corpus, and adaptive feed of COVID-19 research.

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