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Metadata, Second Edition
Marcia Lei Zeng and Jian Qin
Item Number: 978-1-55570-965-5
 
Publisher: ALA Neal-Schuman
Price: $84.00
 
 
 
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584 pages
6" x 9"
Softcover
ISBN-13: 978-1-55570-965-5
Year Published: 2015
AP Categories: A, C, I

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Metadata remains the solution for describing the explosively growing, complex world of digital information, and continues to be of paramount importance for information professionals. Providing a solid grounding in the variety and interrelationships among different metadata types, Zeng and Qin’s thorough revision of their benchmark text offers a comprehensive look at the metadata schemas that exist in the world of library and information science and beyond, as well as the contexts in which they operate. Cementing its value as both an LIS text and a handy reference for professionals already in the field, this book
  • lays out the fundamentals of metadata, including principles of metadata, structures of metadata vocabularies, and metadata descriptions;
  • surveys metadata standards and their applications in distinct domains and for various communities of metadata practice;
  • examines metadata building blocks, from modeling to defining properties, and from designing application profiles to implementing value vocabularies;
  • describes important concepts as resource identification, metadata as linked data, consumption of metadata, interoperability, and quality measurement; and
  • offers an updated glossary to help readers navigate metadata’s complex terms in easy-to-understand definitions.
An online resource of web extras, packed with exercises, quizzes, and links to additional materials, completes this definitive primer on metadata.
Table of Contents

List of Illustrations
Preface


Part I: Fundamentals of Metadata

Chapter 1: Introduction
1.1    Background
1.2    Definitions
1.3    A Brief History
1.4    Types and Functions
1.5    Standards
1.6    Principles
1.7    Examples of Metadata Descriptions
Suggested Readings
Exercises

Chapter 2: Understanding Metadata Vocabularies
2.1    Metadata Element Sets
2.1.1    Components and Structures—An Overview
2.1.2    Flat Structure
2.1.3    Nested Structure
2.2    Application Profiles
2.2.1    The Concept of Application Profile
2.2.2    Examples of APs Consisting of Elements Drawn from Other Schemas
2.2.3    Sources of Reusable Elements
2.3    Ontologies as Metadata Vocabularies
2.3.1    Background
2.3.2    Modular Structure
2.3.3    Friend of a Friend (FOAF)
2.3.4    Schema.org
2.4    RDF Vocabularies for Metadata Terms
2.4.1    An Introduction to RDF (Resource Description Framework)
2.4.2    DCMI Metadata Terms
2.4.3    Metadata Descriptions: From “Records” to “Statements”
Suggested Readings
Exercise

Chapter 3: Creating Metadata Descriptions
3.1     Requirements for Metadata
3.2    Basic Unit of Metadata
3.2.1    Metadata Statement, Description, and Description Set
3.2.2    Relationships between Resources
3.3    Knowing the Difference
3.4    Levels of Granularity
3.4.1    Describing Individual Items that Constitute a Collection: Item-level Description
3.4.2    Describing the Entirety of a Collection: Collection-Level Description
3.4.3    Dataset Level Metadata
3.4.4    Resource Decomposition
3.5    Metadata Sources
3.5.1    Manual Generation of Metadata
3.5.2    Automatic Generation of Metadata
3.5.3    Combination of Manual and Automatic Methods
3.5.4    Harvested Metadata
3.5.5    Converted Metadata
3.5.6    User-Contributed Metadata through Social Media
3.6    Metadata Storage
3.6.1    Internal Storage
3.6.2    External Storage
3.7    Expressing Metadata
3.7.1    HTML
3.7.2     XML
3.7.3     RDF/XML and Other RDF Serialization Formats
3.8 Linkage, Wrapper, Display, and Parallel Metadata
3.8.1     Linking between Descriptions for Different Resources
3.8.2     Wrapping
3.8.3     Encoding for Display
3.8.4     Encoding for Bilingual Metadata Statements
3.9 Combining Metadata Descriptions and Linking Resources
3.9.1     METS
3.9.2     RDF/XML
3.9.3     Aggregation
Suggested Readings
Advanced Readings
Exercises

Part II: Metadata Vocabulary Building Blocks

Chapter 4: Metadata Structures and Semantics
4.1     Modeling for Metadata
4.1.1     Entity-Relationship Modeling
4.1.2     Ontological Modeling
4.1.3     Encapsulated and Modularized Approach
4.2     Enumerating Metadata Terms
4.2.1     Communicating about the Functional Requirements
4.2.2     Identifying Desired Elements
4.3     Element Set Specification
4.3.1     Basic Components
4.3.2     Presentation
4.3.3     Principles for an Element Set to Follow
4.3.4     Methodologies for Working from an Existing Element Set
4.3.5     Testing the Element Set
4.4     Value Spaces and Value Vocabularies
4.4.1     Value Spaces That Should Follow Standardized Syntax Encoding Rules
4.4.2     Value Spaces That Require Standardized Vocabulary Encoding Schemes
4.4.3     Value Spaces That Require Predefined Lists of Terms
4.5     Crosswalks
4.5.1 Methods Used in Crosswalking
4.5.2 Aligning Elements with Indicators of Matching Degrees
4.6 Best Practice Guides and Other Content Guidelines
4.6.1     Best Practice Guides
4.6.2     Standard-Specific Guidelines
4.6.3     Community-Oriented Best Practice Guides
4.6.4     Data Content Standards
4.7.     Conclusion
Suggested Readings
Exercises

Chapter 5: Metadata Schemas
5.1     Background
5.2     Resource Identification
5.3     Namespaces
5.4     Schema Encoding
5.4.1     Relational Schema
5.4.2     XML Schema
5.4.3    Schema Encoding in Mixed Namespaces
5.5     Encoding Examples of Metadata Standards
5.5.1     Dublin Core Encoding Schemas
5.5.2     EAD 2002 XML Schema
5.5.3     DLESE Metadata Framework XML Schemas
5.6     Summary
Suggested Readings
Exercises

Part III: Metadata Services

Chapter 6: Metadata Services
6.1    Metadata Services as an Infrastructure
6.2     Metadata Registries
6.2.1     Functional Requirements
6.2.2     Types
6.2.3     Essential Components
6.3     Metadata Repositories
6.3.2     Metadata Harvesting Model
6.3.3     OAI-PMH Commands
6.3.4     Support for Multiple Description Formats in OAI-PMH
6.4     Metadata as Linked Data
6.4.1     Two Roles of LAMs
6.4.2     Using Knowledge Organization Systems (KOS) as the Connectors of Linked Datasets
6.4.3     Metadata in Information Silos
6.4.4     Factors Impacting Metadata Linkability
6.5     Ensuring Optimal Metadata Discovery and Increasing Findability
6.5.1     Metadata Retrieval
6.5.2     Metadata Exposure Methods
6.6     Summary
Suggested Readings
Exercises

Chapter 7: Metadata Quality Measurement and Improvement
7.1     Quality of Metadata
7.2     Functional Requirements of Metadata Systems
7.3     Quality Measurement with Different Granularities
7.4     Data Quality Measurement Indicators: CCCD
7.4.1     Completeness
7.4.2     Correctness
7.4.3     Consistency
7.4.4     Duplication Analysis
7.5     Metadata Evaluation
7.6     Enhancing Quality of Metadata
7.7     Entity-Level Quality for Reusable Metadata
Suggested Readings
Exercises

Chapter 8: Achieving Interoperability
8.1     Definitions
8.2     Metadata Decisions at Different Stages of a Digital Library Project
8.3     Achieving Interoperability at the Schema Level
8.3.1     Derivation
8.3.2     Application Profiles (APs)
8.3.3     Crosswalks
8.3.4     Frameworks
8.3.5     Metadata Registries
8.4.     Achieving Interoperability at the Record Level
8.4.1     Conversion of Metadata Records
8.4.2     Data Reuse and Integration
8.5     Achieving Interoperability at the Metadata Repository Level
8.5.1     Metadata Repositories Based on the Open Archives Initiative (OAI) Protocol
8.5.2     Metadata Repositories Supporting Multiple Formats without Record Conversion
8.5.3     Aggregation and Enriched Metadata Records in a Repository
8.5.4     Element-Based and Value-Based Crosswalking Services
8.5.5     Value-Based Mapping for Cross-Database Searching
8.5.6     Value-Based Co-Occurrence Mapping
8.6     Alignment Approaches Used for Linked Data
8.6.1     The Need for Alignment of Metadata Vocabularies
8.6.2     Alignment at Class Level
8.6.3     Alignment at Property Level
8.6.4     Mapping Degrees
8.7.     Conclusion
Suggested Readings
Exercise

Part IV: Metadata Outlook in Research

Chapter 9: Metadata Research Landscape
9.1     Overview
9.2     Research in Metadata Architecture
9.3     Research in Metadata Modeling
9.4     Research in Metadata Semantics
9.5     Metadata and Data-Driven X
9.6     Metadata Research Landscape: Conclusions
Suggested Readings
Exercise

Part V: Metadata Standards

Chapter 10: Current Standards
10.1 Metadata for General Purposes
10.1.1     Dublin Core (DC)
10.1.2     MODS and the MARC Family
10.2     Metadata for Cultural Objects and Visual Resources
10.2.1     Introduction to CDWA
10.2.2     Important Concepts
10.2.3     The Element Sets of CCO, CDWA Lite, LIDO, and VRA Core
10.2.4     Object ID Checklist
10.2.5     Value Vocabularies
10.3     Metadata for Research Data
10.3.1 Overview
10.3.2     Metadata Standards for Geospatial Data
10.3.3     Metadata Standards for Biodiversity and Ecology Data
10.3.4     Metadata for Social Sciences Research Data
10.3.5     Other Developments
10.4     Metadata for Archives
10.4.1     Background
10.4.2     Finding Aid Examples
10.4.3     EAD 2002 Record at a Glance
10.4.4     EAC-CPF
10.4.5     Other Related Standards
10.4.6    EAD3
10.5     Rights Management Metadata
10.5.1     Rights Metadata Elements for User-Oriented Rights Information
10.5.2     Metadata Activities of Rights-Holder Communities
10.5.3     Open Digital Rights Language (ODRL)
10.6     Metadata for Publishing and Press Communications
10.6.1     ONIX (ONline Information Exchange)
10.6.2     EPUB
10.6.3     IPTC Metadata Standards
10.7     Metadata for Multimedia Objects
10.7.1     The MPEG standards
10.7.2     MPEG-7
10.7.3     ID3v2
10.7.4     PBCore, the Public Broadcasting Metadata Dictionary
10.8     Preservation and Provenance Metadata
10.8.1     Digital Preservation Metadata Standards
10.8.2     OAIS Reference Framework
10.8.3     Preservation Metadata: Implementation Strategies (PREMIS)
10.8.4     PROV for Provenance Interchange on the Web
10.8.5     DCMI Metadata Terms for Provenance
10.9     Metadata Describing Agents
10.9.1     vCard
10.9.2     FOAF (Friend of a Friend)
Suggested Readings
Exercises

Glossary
References
About the Authors
Index

About the Authors

Marcia Lei Zeng is Professor of Library and Information Science at Kent State University in Kent, Ohio, where she teaches knowledge organization systems (KOS), metadata, and cultural heritage informatics. She holds a PhD from the School of Information Sciences at the University of Pittsburgh and an MA from Wuhan University in China. Her major research interests include KOS, Linked Data, metadata and markup languages, smart data and big data, database quality control, semantic technologies, and digital humanities. Her scholarly publications consist of more than 80 papers and five books, as well as over 200 national and international conference presentations and invited lectures. Her research projects have received funding from the National Science Foundation (NSF), Institute of Museum and Library Services (IMLS), OCLC, Ohio Board of Regents, Fulbright, and other foundations. Dr. Zeng has chaired or served on committees, working groups, and executive boards for the International Federation of Library Associations and Institutions (IFLA), Special Libraries Association (SLA), Association for Information Science and Technology (ASIS&T), the US National Information Standards Organization (NISO), the International Organization for Standardization (ISO), Dublin Core Metadata Initiative (DCMI), International Society for Knowledge Organization (ISKO), and the World Wide Web Consortium (W3C).

Jian Qin is Professor at the School of Information Studies, Syracuse University. Her research interest areas include metadata, knowledge modeling and organization, ontologies, and scientific communication. She has published more than 60 papers and has given presentations at numerous national and international conferences and workshops. Her research has been funded by the National Science Foundation, Institute of Museum and Library Services (IMLS), OCLC Online Library Computer Center, and Institute for Scientific Information (ISI). She teaches information organization, metadata, and fundamentals of digital data. Dr. Qin is currently a coleader for the DCMI Community for Science and Metadata (DC-SAM) and serves as a member on the DCMI Advisory Board, as well as a member of the editorial board for two international journals. Dr. Qin holds a PhD degree from the University of Illinois at Urbana-Champaign and an MLIS from the University of Western Ontario.
 
 

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