metadatacentric
Metadatacentric refers to an approach in information management in which metadata—the contextual information that describes, explains, locates, or otherwise makes data understandable—serves as the central organizing factor. In a metadatacentric system, metadata schemas, catalogs, and governance processes drive data discovery, access, integration, and stewardship, with the actual data payload being structured and stored to align with these metadata definitions.
Key features include metadata-first design, standardized metadata models, and strong metadata management capabilities such as lineage,
Applications include data lakes and data catalogs, digital libraries, data governance programs, data sharing and collaboration
Advantages include improved data discovery, governance, traceability, interoperability across systems, and scalability. Challenges include ensuring metadata
Relation to other concepts: metadatacentricity is not the same as metadata-driven programming; it emphasizes metadata as