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OS MasterMap technical information - data measures
This table gives you the generic definitions of the ways we measure the data in our products.
| Data Measure | Definition | Sub-measure | Definition |
| Completeness | Presence and absence of features against the specified data content | Omission | Features representing objects that conform to the specified data content but are not present in the data |
| Commission | Features representing objects that do not conform to the specified data content but are present in the data | ||
| Logical consistency | Degree of adherence to logical rules of data structure, attribution and relationships | Conceptual consistency | How closely the data follows the conceptual rules (or model) |
| Domain consistency | How closely the data values in the dataset match the range of values in the dataset specification | ||
| Format consistency | The physical structure (syntax): How closely the data stored and delivered fits the database schema and agreed supply | ||
| Topological consistency | The explicit topological references between features (connectivity)- according to specification | ||
| Positional accuracy | Accuracy of the position of features | Absolute accuracy | How closely the coordinates of a point in the dataset agree with the coordinates of the same point on the ground (in the British National Grid reference system) |
| Relative accuracy | Positional consistency of a data point or feature in relation to other local data points or features within the same or another reference dataset | ||
| Geometric fidelity | The ‘trueness’ of features to the shapes and alignments of the objects they represent | ||
| Temporal accuracy | Accuracy of temporal attributes and temporal relationships of features | Temporal consistency | How well ordered events are recorded in the dataset (Lifecycles) |
| Temporal validity (Currency) | Validity of data with respect to time: The amount of real-world change that has been incorporated in the dataset that is scheduled for capture under current specifications | ||
| Thematic accuracy (Attribute accuracy) | Classification of features and their attributes | Classification correctness | How accurately the attributes within the dataset record the information about objects |