Metadataintegratie

Metadataintegratie is the process of combining metadata from multiple sources into a unified, consistent set of information that can be used for data management, discovery, and analysis. It typically involves extracting metadata, mapping it to a common reference model or schema, reconciling differences in terminology or structure, and loading the harmonized records into a central repository. Standard techniques include using crosswalks between vocabularies, employing semantic web technologies such as RDF and OWL, and applying data quality checks to ensure accuracy and completeness.

The primary goals of metadataintegratie are to provide a single point of access to disparate data assets, improve interoperability across systems, and enable more effective data governance. In practice, it supports activities such as data cataloging, entity resolution, and provenance tracking. Challenges arise from heterogeneous source formats, evolving metadata standards, and scalability requirements. Successful implementations often rely on automated tools, robust governance frameworks, and continuous monitoring to maintain consistency as source systems change. This discipline is critical for organizations seeking to harness the full value of their data assets while ensuring compliance with regulatory and quality standards.