COVID-19 research profiling data about author, bio entity, and institution
Principal Investigator(s): View help for Principal Investigator(s) Ying Ding, University of Texas at Austin
Version: View help for Version V2
Project Citation:
Ding, Ying. COVID-19 research profiling data about author, bio entity, and institution. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-01-06. https://doi.org/10.3886/E144261V2
Project Description
Summary:
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The outbreak of COVID-19 has a severe impact on our families, communities, and businesses. White House released the COVID-19 literature dataset (called CORD-19 dataset) which has grown exponentially into a gigantic collection of over 500,000 articles. Researchers, practitioners, and administrators need data to help them digest this enormous amount of knowledge to address vairous scientific questions related to COVID-19. This data combine CORD-19 dataset, author information from Semantic Scholar, tweets information from Altmetric, bio entities from Pubtator and Clinical Trails data. This data is managed by the University of Texas at Austin and is also hosted at COVID-19 Portal (https://aihealth.ischool.utexas.edu/COVID19/#/).
Funding Sources:
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National Science Foundation (2028717)
Scope of Project
Subject Terms:
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COVID-19;
Research Profiling;
Biological Entities;
Research Activities
Related Publications
Published Versions
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