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Metadata is often defined as data about data. [2] [3] [4] It is “structured information that describes, explains, locates, or otherwise makes it easier to retrieve, use or manage an information resource”, especially in a distributed network environment like for example the internet or an organization. [5]
Metadata schemata can be hierarchical in nature where relationships exist between metadata elements and elements are nested so that parent-child relationships exist between the elements. An example of a hierarchical metadata schema is the IEEE LOM schema, in which metadata elements may belong to a parent metadata element.
A type of structural and metadata encoding system using an XML Document Type Definition (DTD) was the result of these efforts. The MoAII DTD was limited in that it did not provide flexibility in which metadata terms could be used for the elements in the descriptive, administrative, and structural metadata portions of the object. [5]
There are many metadata specifications; of particular interest is the Dublin Core Metadata Element Set (commonly known as Simple Dublin Core, standardised as ANSI/NISO Z39.85 – 2001). Simple Dublin Core (DC) provides a non-complex, loosely defined set of elements which is useful for sharing metadata across a wide range of disparate services.
The ISO/IEC 11179 model is a result of two principles of semantic theory, combined with basic principles of data modelling. The first principle from semantic theory is the thesaurus type relation between wider and more narrow (or specific) concepts, e.g. the wide concept "income" has a relation to the more narrow concept "net income".
Code generation is the process of generating executable code (e.g. SQL, Python, R, or other executable instructions) that will transform the data based on the desired and defined data mapping rules. [4] Typically, the data transformation technologies generate this code [5] based on the definitions or metadata defined by the developers.
If one is creating a large number of data elements, all the definitions should be consistent with related concepts. Critical Data Element – Not all data elements are of equal importance or value to an organization. A key metadata property of an element is categorizing the data as a Critical Data Element (CDE). This categorization provides ...
This was a response to communities whose metadata needs required additional detail. [11] In 2012, the DCMI Metadata Terms was created using a RDF data model. [12] This expanded element set incorporates the original 15 elements and many of the qualifiers of the qualified Dublin Core as RDF properties.