Table 1 Example of data quality dimensions (Intrinsic)
From: Big data quality framework: a holistic approach to continuous quality management
DQD’s | Description |
|---|---|
Completeness | Describes whether all relevant data is recorded. It measures missing values for an attribute |
Consistency | Checks whether data agrees with its format and structure. It mostly refers to the respect of data constraints |
Accuracy | Measures whether data was recorded correctly and reflects realistic values. It is also defined as the “closeness of the agreement between the result of a measurement and a true value of the measure”. [29] |
Timeliness | Computes whether data is up to date, referred to as data currency and volatility. [30] |