Data Completeness Measure

A Data Completeness Measure is a data quality measure based on a data completeness specifications (of the degree data are available).

• Context:
  • It can include Schema Completeness, Column Completeness, and Population Completeness.
  • …
• Example(s):
  • Number of Rows.
• See: Data Validity, Data Timeliness.

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References

2019

• https://www.openriskmanual.org/wiki/Data_Completeness
  • QUOTE: Data Completeness denotes the degree to all required data are available in the dataset [1] A measure of data completeness would be the percentage of Missing Data entries
  • Types of Completeness. In the context of database completeness can be refined into[2]
    • Schema completeness: defined as the degree to which entities and attributes are not missing from a database schema
    • Column completeness is a function of the missing values in a column of a table
    • Population completeness amounts to evaluating missing values with respect to a reference population

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