Create Data Requirements

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(Types of Data Requirements)
(Types of Data Requirements)
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== Types of Data Requirements ==
 
== Types of Data Requirements ==
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Data requirements usually refer to different data items. When we look at a table we usually have at least three types of data items, (1) columns, (2) rows, and (3)the table/spreadsheet itself.
  
 
[[File:Terminology.jpg|Frame|600px|Table to illustrate used terminology]]
 
[[File:Terminology.jpg|Frame|600px|Table to illustrate used terminology]]

Revision as of 19:54, 22 September 2011

Contents

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 three types of data items, (1) columns, (2) rows, and (3)the table/spreadsheet itself.

Table to illustrate used terminology

Type 1: Property Requirements

Property requirements are data requirements that are related to values of a single property.



Type 2: Class Requirements

Type 3: Multi-Property Requirements

Type 4: Custom Requirements

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