2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository | Zendy

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2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository

Author(s) -

Meg Miller

Publication year - 2020

Publication title -

bulletin - association of canadian map libraries and archives (acmla)

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.125

H-Index - 3

eISSN - 2561-2263

pISSN - 0840-9331

DOI - 10.15353/acmla.n164.1730

Subject(s) - covid-19 , context (archaeology) , coronavirus , coronavirus infections , virology , computer science , library science , data science , geography , medicine , outbreak , infectious disease (medical specialty) , disease , archaeology , pathology

This review provides an overview of 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository compiled by the Johns Hopkins University Center for Systems Science and Engineering. It provides a background of how the repository was compiled, the data included and how the repo is being made use of in a Canadian academic library context.

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