COVID-19 Open Research Dataset (CORD-19). 2020
Version 1

In response to the COVID-19 pandemic, the Allen Institute for AI has partnered with leading research groups to prepare and distribute the COVID-19 Open Research Dataset (CORD-19), a free resource of over 45,000 scholarly articles, including over 33,000 with full text, about COVID-19 and the coronavirus family of viruses for use by the global research community.

This dataset is intended to mobilize researchers to apply recent advances in natural language processing to generate new insights in support of the fight against this infectious disease. The corpus will be updated weekly as new research is published in peer-reviewed publications and archival services like bioRxiv, medRxiv, and others.

CORD-19 Explorer is a quick and easy way to search the CORD-19 corpus, or you can download the complete data.

Version 2020-03-20. Retrieved from https://pages.semanticscholar.org/coronavirus-research. Accessed 2020-04-03. doi:10.5281/zenodo.3715505

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help Creators and Submitter
Creators
  • Allen Institute For AI
  • Anthony Goldbloom
  • Peijen Lin
  • Paul Mooney
  • Carissa Schoenick
  • Sebastian Kohlmeier
  • devrishi
  • Timo Bozsolik
  • Ben Hamner
Submitter
Citation
Golebiewski, M. (2021). COVID-19 Open Research Dataset (CORD-19). 2020 [Data set]. FAIRDOMHub. https://doi.org/10.15490/FAIRDOMHUB.1.DATAFILE.3719.1
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Created: 3rd Apr 2020 at 19:50

Last used: 17th Oct 2021 at 16:01

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Version 1 Created 3rd Apr 2020 at 19:50 by Martin Golebiewski

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