Metadata

The third edition of this landmark textbook has been thoroughly updated
to incorporate the many developments and changes in metadata and related
domains. Authors Marcia Lei Zeng and Jian 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:

• 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


• 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.

Featuring new
developments driven by semantic technologies and digital data and information,
with an accompanying website and supplementary learning materials, this remains
the definitive primer on metadata for students, instructors, faculty, and
professionals at all levels of experience.

The third edition of this landmark textbook has been thoroughly updated
to incorporate the many developments and changes in metadata and related
domains. Authors Marcia Lei Zeng and Jian 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:

• 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


• 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.

Featuring new
developments driven by semantic technologies and digital data and information,
with an accompanying website and supplementary learning materials, this remains
the definitive primer on metadata for students, instructors, faculty, and
professionals at all levels of experience.