metaadatstruktúrák

Metadata structures, or metadata schemas, are frameworks used to organize and describe data. They define the types of metadata elements that can be collected, their properties, and how they relate to each other. These structures are crucial for managing, discovering, and understanding information, especially in large and complex datasets. A well-defined metadata structure ensures consistency and interoperability across different systems and applications. Common examples include Dublin Core, which provides a simple set of core metadata elements for resource description, and MARC (Machine-Readable Cataloging), widely used in libraries for cataloging bibliographic information. Other specialized schemas exist for specific domains like scientific data, digital assets, or geospatial information. The choice of a metadata structure depends on the purpose of the data and the desired level of detail in its description. They facilitate data governance, enable effective searching and retrieval, and support data preservation by capturing essential contextual information.