The data set aims to accelerate scientific research that could fight the Covid-19 pandemic.
Today researchers collaborating across several organizations released the Covid-19 Open Research Dataset (CORD-19), which includes over 24,000 research papers from peer-reviewed journals as well as sources like bioRxiv and medRxiv (websites where scientists can post non-peer-reviewed preprint papers). The research covers SARS-CoV-2 (the scientific name for the coronavirus), Covid-19 (the scientific name for the disease), and the coronavirus group. It represents the most extensive collection of scientific literature related to the ongoing pandemic and will continue to update in real time as more research is released.
The database was compiled under the request of the White House Office of Science and Technology Policy (OSTP) through a collaboration between three organizations. The National Library of Medicine (NLM) at the National Institutes of Health provided access to existing scientific publications; Microsoft used its literature curation algorithms to find relevant articles; and research nonprofit the Allen Institute for Artificial Intelligence (AI2) converted them from web pages and PDFs into a structured format that can be processed by algorithms. The database is now available on AI2’s Semantic Scholar website.
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