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

Yi-Yun Cheng, Bertram Ludäscher

Research output: Contribution to journalArticlepeer-review

Abstract

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 languageEnglish (US)
Article numbere355
JournalProceedings of the Association for Information Science and Technology
Volume57
Issue number1
DOIs
StatePublished - Oct 22 2020
Event2020 Annual Meeting of the Association for Information Science & Technology -
Duration: Oct 25 2020Oct 29 2020
Conference number: 83

Keywords

  • COVID-19
  • data aggregations
  • data quality
  • taxonomies

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