COVID-19 portal: Profiling researchers, bio-entities, and institutions

Wan, Aoshen; Tong, Changpeng; Zhan, Yan; Tripathi, Sanjana; Wang, Jiarong; Sachdev, Mona; Paithankar, Shreya; Duerksen, Joel; Chen, Bin; Ding, Ying

Permalink

https://hdl.handle.net/2142/113727 Copy

Description

Title

COVID-19 portal: Profiling researchers, bio-entities, and institutions

Author(s)

• Wan, Aoshen
• Tong, Changpeng
• Zhan, Yan
• Tripathi, Sanjana
• Wang, Jiarong
• Sachdev, Mona
• Paithankar, Shreya
• Duerksen, Joel
• Chen, Bin
• Ding, Ying

Issue Date

2022-02-28

Keyword(s)

• COVID-19
• Research profiling
• Biological entities
• Research activities
• Portal design

Abstract

The outbreak of COVID-19 has a severe impact on our families, communities, and businesses. White House released the COVID19 literature dataset (called CORD-19 dataset) which has grown exponentially into a gigantic collection of over 500,000 articles. Researchers, practitioners, and administrators need a tool to help them digest this enormous amount of knowledge to address various scientific questions related to COVID-19. This paper showcases the COVID-19 portal to portray the research profiles of scientists, bio entities (e.g., gene, drug, disease), and institutions based on the integration of CORD-19 research literature, COVID-19 related clinical trials, PubMed knowledge graph, and the drug discovery knowledge graph. This portal provides the following profiles related to COVID-19: 1) the profile of a research scientist with his/her COVID-19 related publications and clinical trials which can be ranked by year or by the number of tweets; 2) the profile of a bio entity which could be a gene, a drug, or a disease with articles and clinical trials mentioned this bio entity; and 3) the profile of an institution with papers authored by researchers from this institution.

Publisher

iSchools

Type of Resource

Other

Language

eng

Permalink

http://hdl.handle.net/2142/113727

Copyright and License Information

Copyright 2022 is held by Aoshen Wan, Changpeng Tong, Yan Zhan, Sanjana Tripathi, Jiarong Wang, Mona Sachdev, Shreya Paithankar, Joel Duerksen, Bin Chen, and Ying Ding. Copyright permissions, when appropriate, must be obtained directly from the authors.

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