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COVID-19 Open Research Dataset

What is being modeled?
COVID-19
Description & purpose of resource

A Free, Open Resource for the Global Research Community

covid-image

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 29,000 scholarly articles, including over 13,000 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.

Spatial scales
molecular
cellular
tissue
organ
whole organism
group/society
Temporal scales
<10-6 s (chemical reactions)
10-6 - 10-3 s
10-3 - 1 s
1 - 103 s
hours
days
weeks to months
human lifetime
multiple generations
This resource is currently
of historical interest (e.g., as a reference implementation of a well-known model or computational method)
mature and useful in ongoing research
likely to be usable without detailed knowledge of its internals
Has this resource been validated?
Yes
How has the resource been validated?

This an open research dataset updated regularly by the community in response to COVID-19.

Link to Resource Credibility Assessment
COVID-19 AI Challenges
Can this resource be associated with other resources? (e.g.: modular models, linked tools and platforms)
Yes
Which resources?

 

Additional Resources

 

Key publications (e.g. describing or using resource)

Publisher Resources

DOI link to publication describing this resource

https://pages.semanticscholar.org/coronavirus-research

Link to resource
COVID-19 Open Research Dataset
Collaborators
Allen Institute for AI
PI contact information
https://allenai.org/
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