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BABOK_Guide_v3_member_copy

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Techniques<br />

Data Dictionary<br />

dictionary:<br />

• Name: a unique name for the data element, which will be referenced by<br />

the composite data elements.<br />

• Aliases: alternate names for the data element used by various<br />

stakeholders.<br />

• Values/Meanings: a list of acceptable values for the data element. This<br />

may be expressed as an enumerated list or as a description of allowed<br />

formats for the data (including information such as the number of<br />

characters). If the values are abbreviated this will include an explanation of<br />

the meaning.<br />

• Description: the definition of the data element in the context of the<br />

solution.<br />

.3 Composite Elements<br />

Composite data elements are built using data elements to build composite<br />

structures, which may include:<br />

• Sequences: required ordering of primitive data elements within the<br />

composite structure. For example, a plus sign indicates that one element is<br />

followed by or concatenated with another element: Customer Name = First<br />

Name+Middle Name+Family Name.<br />

• Repetitions: whether one or more data elements may be repeated<br />

multiple times.<br />

• Optional Elements: may or may not occur in a particular instance of the<br />

composite element.<br />

10.12.4 Usage Considerations<br />

.1 Strengths<br />

• Provides all stakeholders with a shared understanding of the format and<br />

content of relevant information.<br />

• A single repository of corporate metadata promotes the use of data throughout<br />

the organization in a consistent manner.<br />

Complimentary IIBA® Member Copy. Not for Distribution or Resale.<br />

.2 Limitations<br />

• Requires regular maintenance, otherwise the metadata could become obsolete<br />

or incorrect.<br />

• All maintenance is required to be completed in a consistent manner in order to<br />

ensure that stakeholders can quickly and easily retrieve the information they<br />

need. This requires time and effort on the part of the stewards responsible for<br />

the accuracy and completeness of the data dictionary.<br />

• Unless care is taken to consider the metadata required by multiple scenarios, it<br />

may have limited value across the enterprise.<br />

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