Create Data Requirements
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What are Data Requirements?
Data requirements are prescribed directives or consensual agreement that define the content and/or structure that constitute high quality data instances and values. Data requirements can thereby be stated by several different individuals or groups of individuals. Moreover, data requirments may also be based on laws, standards, or other directives. They may be agreed upon or contrary to each other.
However, data requirements are required as a prerequisite to measure data quality. Hence, they serve as a benchmark to define the desired state of data. In the following we describe how you can express your data requirements via the DQM-Vocabulary.
Types of Data Requirements
Data requirements usually refer to different data items. When we look at a table we usually have at least four types of data items, (1) columns, (2) rows, (3) schemata, and (4)the table/spreadsheet itself.
In Semantic Web environments, we can compare columns to properties, rows to instances, schemata to ontologies, and tables to classes. Data requirements can usually be related to one of these elements. In particular, there are (#) data requirements related to the values of a single property,
Type 1: Property Requirements
Property requirements are data requirements that are related to values of a single property.