•Completeness:describes the presence and absence of features, their attributes and their relationships. Data quality measures are measuresof difference between the specified items and the actual items in a dataset.
•Logical consistency: describes the degree to which data is stored in accordance with the structure of a dataset or the degree to which the correct encoding of feature attributes into a dataset are in accordance with a dataset’s production specification. A data quality measure for logical consistency is the degree of consistency expressed, for instance, as the percentage or number of violations.