Figure 1: Common metadata areas | - Area 1 describes the data assets. These are the data sources, APIs, analytics models, transformation functions and rule implementations that store and manage data. The definitions in Area 1 include connectivity information that is used by the open connector framework (and other tools) to get access to the data assets.
- Area 2 describes the glossary. This is the definitions of terms and concepts and how they relate to one another. Linking the concepts/terms defined in the glossary to the data assets in area 1, defines the meaning of the data that is managed by the data assets. This is a key relationship that helps people locate and understand the data assets they are working with.
- Area 3 collects information from people using the data assets. It includes their use of the assets and their feedback. It also manages crowd-sourced recommended enhancements to the metadata from other areas before it is approved and incorporated into the governance program.
- Area 4 defines how the data assets should be governed. This is where the classifications, policies and rules are defined.
- Area 5 is where standards are established. This includes data models, schema fragments and reference data that are used to assist developers and architects in using best practice data structures and valid values as they develop new capability around the data assets.
- Area 6 provides the additional information that automated metadata discovery engines have discovered about the data assets. This includes profile information, quality scores and suggested classifications.
- Area 7 provides the structures for recording lineage.
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