metadataomdanningsstandarder

Metadataomdanningsstandarder refer to a set of conventions that define how metadata described in one schema is converted to another schema, preserving meaning and improving interoperability across systems and over time. They are essential in contexts like libraries, archives, museums, scientific data, and government portals, where metadata created by one platform must be usable by others.

They rely on crosswalks or mappings that specify correspondences between elements, as well as transformation rules, provenance tracking, and quality checks. Transformation pipelines may use technologies such as XSLT for XML, RML or mapping languages to RDF, and SPARQL for validation. The goal is to maintain semantic equivalence and support discovery, preservation, and data interoperability.

Common standards and formats involved include Dublin Core (ISO 15836), MARC, MODS, METS, PREMIS, ISO 19115/19139 for geospatial metadata. In semantic web contexts, RDF, OWL, SKOS, and JSON-LD are used, often with CIDOC CRM in cultural heritage. Crosswalks also occur between MARC and Dublin Core, or between institutional schemas and international standards.

Implementations are typically governed by national libraries, archives, and standards bodies, with emphasis on metadata quality, versioning, and provenance. Challenges include semantic drift, incomplete metadata, multilingual schemas, and versioning of schemas. Well-defined metadataomdanningsstandarder enable interinstitutional discovery, reuse, and long-term preservation of digital assets.