COVID-19 Open Research Dataset (CORD-19)
COVID-19 Open Research Dataset (CORD-19)
Access this dataset to help with the fight against COVID-19
To read the full story and for more information, go to: https://pages.semanticscholar.org/coronavirus-research
A Free, Open Resource for the Global Research Community
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 44,000 scholarly articles, including over 29,000 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 click here to download the complete data.
Participate in the CORD-19 Challenge
Kaggle is hosting the COVID-19 Open Research Dataset Challenge, a series of important questions designed to inspire the community to use CORD-19 to find new insights about the COVID-19 pandemic including the natural history, transmission, and diagnostics for the virus, management measures at the human-animal interface, lessons from previous epidemiological studies, and more.
Download CORD-19
By downloading this dataset you are agreeing to the Dataset License. Specific licensing information for individual articles in the dataset is available in the metadata file.
Additional licensing information is available on the PMC website, medRxiv website and bioRxiv website.
Contribute to CORD-19
To maximize impact and increase full text available to the global research community, we are actively encouraging publishers to make their research content openly available for AI projects like this that benefit the common good. If you’re a publisher interested in contributing to the CORD-19 corpus, please contact partnerships@allenai.org. For research inquiries, please contact kylel@allenai.org (Kyle Lo) and lucyw@allenai.org (Lucy Lu Wang).
To read the full story and for more information, go to: https://pages.semanticscholar.org/coronavirus-research
