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Metadata

Data about data, of any sort in any media, that describes the characteristics of an entity.

Metadata & classification

Data and information is provided with definitions and characteristics - Rationale Data and information is findable, available, readable and interpretable. For this purpose, data and information is labelled, classified and protected in line with the value it represents. - Implication Metadata, definitions, classification system and descriptions are available and applied.

Modeling convention for data architecture

This is an example of modeling and naming conventions that can be used within an architecture repository. This elaboration is an example of how to develop a metamodel and its conventions. In this case for a data architecture development. The metamodel has been developed based on the DMBoK framework. This means that part of the framework has been developed and the others have not yet. Here, particularly from the point of view of the data architect, is an elaboration of modeling conventions and architectural models. Working with meta data requires a white paper on metadata modeling methods.

Meta Data Repository Voorbeeld

Metadata Modelleren als repository

Metamodel for data governance

This is a meta model for the data governance entities based on an Example specific ArchiMate data governance viewpoint. Including elements and the underlying relationships between the different elements. Please note that from the metadata perspective, this model will be expanded with detailed (meta) models for the other data management knowledge areas.

Modeling convention for data architecture

This is an example of modeling and naming conventions that can be used within an architecture repository. This elaboration is an example of how to develop a metamodel and its conventions. In this case for a data architecture development. The metamodel has been developed based on the DMBoK framework. This means that part of the framework has been developed and the others have not yet. Here, particularly from the point of view of the data architect, is an elaboration of modeling conventions and architectural models. Working with meta data requires a white paper on metadata modeling methods.