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Veracity in big data: How good is good enough.

Authors
  • Reimer, Andrew P1
  • Madigan, Elizabeth A2
  • 1 Case Western Reserve University, USA; Cleveland Clinic, USA.
  • 2 Case Western Reserve University, USA.
Type
Published Article
Journal
Health informatics journal
Publication Date
Dec 01, 2019
Volume
25
Issue
4
Pages
1290–1298
Identifiers
DOI: 10.1177/1460458217744369
PMID: 29388495
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Veracity, one of the five V's used to describe big data, has received attention when it comes to using electronic medical record data for research purposes. In this perspective article, we discuss the idea of data veracity and associated concepts as it relates to the use of electronic medical record data and administrative data in research. We discuss the idea that electronic medical record data are "good enough" for clinical practice and, as such, are "good enough" for certain applications. We then propose three primary issues to attend to when establishing data veracity: data provenance, cross validation, and context.

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