Metadataga

Metadataga is a framework and standard for describing, organizing, and exchanging metadata about digital resources across heterogeneous systems. It provides a cohesive set of metadata schemas, tagging practices, and programmatic interfaces intended to improve searchability, provenance, and interoperability among libraries, archives, media platforms, and data repositories.

Metadataga originated as an open framework developed by a consortium of libraries, archives, research institutions, and technology providers. It builds on established models such as Dublin Core, schema.org, and RDF, and emphasizes machine-actionable metadata to support scalable indexing, automated curation, and cross-domain discovery.

The core components include a core metadata set with extensible vocabularies, harmonization rules, and crosswalks to other schemas. It supports RDF and JSON-LD representations, provenance and versioning information, rights and access metadata, and APIs for creation, validation, and querying. The framework is designed to allow community-driven extensions while preserving backward compatibility and data lineage.

Applications span digital libraries, cultural heritage repositories, research data management platforms, media asset managers, and streaming services. Metadataga aims to enable richer search, more reliable deduplication, and easier data exchange between systems, while maintaining governance and data privacy considerations.

Adoption varies by domain, and practitioners often address concerns about complexity, governance, and fragmentation of vocabularies. Supportive tooling and clear governance models are typically highlighted as important for sustainable implementation.