Data Completeness Measure
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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):
- See: Data Validity, Data Timeliness.
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