Difference between revisions of "Data Attribute"
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== Examples == | == Examples == | ||
| − | * | + | * Precision (Numerical Accuracy) |
| − | * | + | * Data Type (Integer, Floating Point etc) |
| + | * Scaling (Orders of Magnitude) | ||
| + | * Unit (Measurement Unit: Currency, Kg etc) | ||
* Temporality. The temporal nature of the data (refering to historical, current or future states) | * Temporality. The temporal nature of the data (refering to historical, current or future states) | ||
* Variability. The static or dynamic (changing nature of data) | * Variability. The static or dynamic (changing nature of data) | ||
| + | * Duration. Temporal validity and/or association with a Time Point or Time Period etc | ||
* Statistical Type. The nature of a dataset from a distributional perspective as defined by its range ([[Numerical Variable]], [[Categorical Variable]]) | * Statistical Type. The nature of a dataset from a distributional perspective as defined by its range ([[Numerical Variable]], [[Categorical Variable]]) | ||
| + | * Provenance (Ownership, As-Of Date) | ||
| + | * [[Confidentiality]]. The ability to disclose given data to various parties. | ||
| + | * Importance. The relevance of a datum in a given context. Helps determine the impact of [[Missing Data]] | ||
| + | * Concept / Meaning (E.g. In the context of a business domain, semantic ontology) | ||
| + | * References (Links to authoritative sources) | ||
| + | * Relationships (Links to other data points) | ||
== See Also == | == See Also == | ||
Latest revision as of 20:18, 12 October 2021
Definition
Data Attribute is any general characteristic or property that can be associated with a specific collection of data. Explicitly defined data attributes provide context that guides on the further use of data and can be considered as a type of Metadata.
Examples
- Precision (Numerical Accuracy)
- Data Type (Integer, Floating Point etc)
- Scaling (Orders of Magnitude)
- Unit (Measurement Unit: Currency, Kg etc)
- Temporality. The temporal nature of the data (refering to historical, current or future states)
- Variability. The static or dynamic (changing nature of data)
- Duration. Temporal validity and/or association with a Time Point or Time Period etc
- Statistical Type. The nature of a dataset from a distributional perspective as defined by its range (Numerical Variable, Categorical Variable)
- Provenance (Ownership, As-Of Date)
- Confidentiality. The ability to disclose given data to various parties.
- Importance. The relevance of a datum in a given context. Helps determine the impact of Missing Data
- Concept / Meaning (E.g. In the context of a business domain, semantic ontology)
- References (Links to authoritative sources)
- Relationships (Links to other data points)
