"" Using Data to Improve Care for Children EKG
Home >

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. 05-Aug-2019




Disclaimer | Website Feedback | U of U
© NEDARC 2010
(In accordance with the Americans with Disabilities Act, the information in this site is
available in alternate formats upon request.)