Metadata standards and models

This entry on metadata standards and models provides a succinct overview of metadata, its essential role in information organization. It defines the concept of metadata and its various functions, types, models and standards, underscoring its importance in enhancing description, search, retrieval, discovery, access and usage of information resources across different organizations including libraries, archives, e-commerce and research data management. The paper delves into the roles of different stakeholders in metadata creation, examining notable standards such as Dublin Core, MARC21, IFLA LRM, FRBR, RDA and BIBFRAME. It also emphasizes the importance of controlled vocabularies and authority headings in maintaining consistency and improving information retrieval. Finally, the paper offers insights into future perspectives and emerging trends in metadata standards and models, including the potential for enrichment, linking, openness, and filtering, driven by collaboration, Semantic Web, open science, big data and AI. The entry highlights that modern metadata standards and models are pivotal in driving resource usage and contributing to an efficient and interconnected information landscape.