Meta data does not just appear out of nowhere nor does it just fade away mystically. Meta data is managed around the life of an asset. One of the hard lessons we have learned over the past few years is that the value of meta data is slowly degraded over time for various reasons such as quality, staleness, lack of use, etc. We can loosely define an asset as any person, place or thing within the technological community. Examples of assets include databases, logical models, physical models, XML structures, components, documents, metrics, systems, interfaces, etc. Figure 1 provides a high-level view of the meta data management life cycle around an asset.
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