DataFrameworks
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Structuring
Your
Data
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Solution
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Metadata
- what is metadata ?.

A working definition – “It depends”. Metadata means different things to different people, depending on context. There are different types of metadata, used in different contexts, but they are always data about data (content).

The big picture definition – The sum total of what one can say about any information object at any level of aggregation. The content, context, and structure of the object.

A value-added definition – Used to enhance access to information objects and is integral to such things as library catalogs, indexes, archives, journal aggregations, Web search repositories (e.g., Google, Northern Light), and other external data aggregations.

Source: Introduction to Metadata

www.getty.edu/research/institute/standards/intrometadata/2_articles/index.html


All information objects have three basic features, which can be reflected through metadata: content, context, and structure.

     Content    – addresses what the object contains or is about.

     Context    – addresses the who, what, why, where, how of the object's creation and
                        continued existence.

     Structure – addresses the formal set of associations within or among individual
                        information objects.

A standardized, organized file system yields a great deal of meta data as a by product, without user invasion to collect or input such data.   Hierarchy structures provide a simple method for relating data.

The following example outlines metadata as a result of a hierarchy organization with associated types.
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