Data cleaning: detecting, diagnosing, and editing data abnormalities

PLoS Med. 2005 Oct;2(10):e267. doi: 10.1371/journal.pmed.0020267. Epub 2005 Sep 6.


In this policy forum the authors argue that data cleaning is an essential part of the research process, and should be incorporated into study design.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Epidemiologic Studies*
  • Ethics, Professional
  • Guidelines as Topic
  • Humans
  • Peer Review*
  • Reproducibility of Results
  • Statistics as Topic / ethics
  • Statistics as Topic / standards*