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A survey and classification of publicly available COVID-19 datasets
Annals of Library and Information Studies ; 69(3):208-220, 2022.
Article in English | Scopus | ID: covidwho-2081660
ABSTRACT
The current study curates a list of authentic and open-access sources of alphanumeric COVID-19 pandemic data. We have gathered 74 datasets from 42 sources, including sources from 18 countries. The datasets are searched through the Kaggle and GitHub repositories besides Google, providing a representation of varieties of pandemic-related datasets. The datasets are categorized according to their sources-primary and secondary, and according to their geographical distribution. While analyzing the dataset, we came across some classes in which the datasets can be categorized. We present the categorization in the form of taxonomy and highlight the present COVID-19 data collection and use challenges. The study will help researchers and data curators in the identification and classification of pandemic data. © 2022, National Institute of Science Communication and Policy Research. All rights reserved.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Observational study Language: English Journal: Annals of Library and Information Studies Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Observational study Language: English Journal: Annals of Library and Information Studies Year: 2022 Document Type: Article