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A survey and classification of publicly available COVID-19 datasets

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Title A survey and classification of publicly available COVID-19 datasets
 
Creator Dutta, Biswanath
Das, Puranjani
Mitra, Sushmita
 
Subject COVID-19
Classification
Curation
Datasets
Metadata
 
Description 208-220
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.
 
Date 2022-09-28T05:26:16Z
2022-09-28T05:26:16Z
2022-09
 
Type Article
 
Identifier 0975-2404 (Online); 0972-5423 (Print)
http://nopr.niscpr.res.in/handle/123456789/60546
https://doi.org/10.56042/alis.v69i3.58950
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source ALIS Vol.69(3) [September 2022]