Through the magnifying glass: Exploring aggregations of COVID-19 datasets by county, state, and taxonomies of U.S. regions

Yi Yun Cheng; Bertram Ludäscher

doi:10.1002/pra2.355

Through the magnifying glass: Exploring aggregations of COVID-19 datasets by county, state, and taxonomies of U.S. regions

Research output: Contribution to journal › Article › peer-review

Abstract

In this preliminary study, we investigate the case of COVID-19 United States confirmed cases datasets, and perform experiments with aggregations of data by county, state, and different taxonomies for U.S. regions. The overarching goals of this study is to uncover potential data quality issues due to different levels of geospatial aggregation of data.

Original language	English (US)
Article number	e355
Journal	Proceedings of the Association for Information Science and Technology
Volume	57
Issue number	1
DOIs	https://doi.org/10.1002/pra2.355
State	Published - Oct 22 2020
Event	2020 Annual Meeting of the Association for Information Science & Technology - Duration: Oct 25 2020 → Oct 29 2020 Conference number: 83

Keywords

COVID-19
data aggregations
data quality
taxonomies

ASJC Scopus subject areas

General Computer Science
Library and Information Sciences

Online availability

10.1002/pra2.355

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Through the magnifying glass: Exploring aggregations of COVID-19 datasets by county, state, and taxonomies of U.S. regions

Abstract

Keywords

ASJC Scopus subject areas

Online availability

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