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A survey and classification of publicly available COVID-19 datasets

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Title Statement A survey and classification of publicly available COVID-19 datasets
 
Added Entry - Uncontrolled Name Dutta, Biswanath ; Documentation Research and Training Centre, Indian Statistical Institute, Bangalore, India.
Das, Puranjani ; Documentation Research and Training Centre, Indian Statistical Institute, Bangalore, India
Mitra, Sushmita ; Machine Intelligence Unit (MIU), Indian Statistical Institute, Kolkata, India
 
Uncontrolled Index Term Information Science; Computer Applications; Library Science
COVID-19; Classification; Curation; Datasets; Metadata
 
Summary, etc. 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.
 
Publication, Distribution, Etc. Annals of Library and Information Studies (ALIS)
2022-09-26 19:16:10
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/ALIS/article/view/58950
 
Data Source Entry Annals of Library and Information Studies (ALIS); ##issue.vol## 69, ##issue.no## 3 (2022): Annals of Library and Information Studies
 
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