This benchmark text is back in a new edition thoroughly updated to incorporate developments and changes in metadata and related domains. Zeng and Qin provide a solid grounding in the variety and interrelationships among different metadata types, offering a comprehensive look at the metadata schemas that exist in the world of library and information science and beyond. Readers will gain knowledge and an understanding of key topics such as

• the fundamentals of metadata, including principles of metadata, structures of metadata vocabularies, and metadata descriptions;
• metadata building blocks, from modeling to defining properties, from designing application profiles to implementing value vocabularies, and from specification generating to schema encoding, illustrated with new examples;
• best practices for metadata as linked data, the new functionality brought by implementing the linked data principles, and the importance of knowledge organization systems;
• resource metadata services, quality measurement, and interoperability approaches; 
• research data management concepts like the FAIR principles, metadata publishing on the web and the recommendations by the W3C in 2017, related Open Science metadata standards such as Data Catalog Vocabulary (DCAT) version 2, and metadata-enabled reproducibility and replicability of research data;
• standards used in libraries, archives, museums, and other information institutions, plus existing metadata standards’ new versions, such as the EAD 3, LIDO 1.1, MODS 3.7, DC Terms 2020 release coordinating its ISO 15396-2:2019, and Schema.org’s update in responding to the pandemic; and
• newer, trending forces that are impacting the metadata domain, including entity management, semantic enrichment for the existing metadata, mashup culture such as enhanced Wikimedia contents, knowledge graphs and related processes, semantic annotations and analysis for unstructured data, and supporting digital humanities (DH) through smart data.

A supplementary website provides additional resources, including examples, exercises, main takeaways, and editable files for educators and trainers.

Since it was first published, LIS students and professionals everywhere have relied on Miller’s authoritative manual for clear instruction on the real-world practice of metadata design and creation. Now the author has given his text a top to bottom overhaul to bring it fully up to date, making it even easier for readers to acquire the knowledge and skills they need, whether they use the book on the job or in a classroom. By following this book’s guidance, with its inclusion of numerous practical examples that clarify common application issues and challenges, readers will

• learn about the concept of metadata and its functions for digital collections, why it’s essential to approach metadata specifically as data for machine processing, and how metadata can work in the rapidly developing Linked Data environment;
• know how to create high-quality resource descriptions using widely shared metadata standards, vocabularies, and elements commonly needed for digital collections;
• become thoroughly familiarized with Dublin Core (DC) through exploration of DCMI Metadata Terms, CONTENTdm best practices, and DC as Linked Data;
• discover what Linked Data is, how it is expressed in the Resource Description Framework (RDF), and how it works in relation to specific semantic models (typically called “ontologies”) such as BIBFRAME, comprised of properties and classes with  “domain” and “range” specifications;
• get to know the MODS and VRA Core metadata schemes, along with recent developments related to their use in a Linked Data setting;
• understand the nuts and bolts of designing and documenting a metadata scheme; and
• gain knowledge of vital metadata interoperability and quality issues, including how to identify and clean inconsistent, missing, and messy metadata using innovative tools such as OpenRefine.