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Purpose of Data Cleaning

Data only have potential value that is realized when someone uses the data to do something useful. 

The eminent goal underlying data cleaning is to:

Assure the data are useful and functional toward the intended end analysis.

There are seven key purposes data cleaning should serve in delivering useful end-user data:

  1. Eliminate Errors
  2. Eliminate Redundancy
  3. Increase Data Reliability
  4. Deliver Accuracy
  5. Ensure Consistency
  6. Assure Completeness
  7. Provide Feedback for Improvements

Next StepIdentifying Your Needs >>

 

 

rev. 04-Aug-2022

 

 

 

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This website is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) as part of the Emergency Medical Services for Children Data Center award totaling $3,200,000 with 0% financed with non-governmental sources. The contents are those of the author(s) and do not necessarily represent the official views of, nor an endorsement, by HRSA, HHS, or the U.S. Government. For more information, please visit HRSA.gov.

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