Metadata in practice 1st edition by Diane I. Hillmann, Elaine L. Westbrooks – Ebook PDF Instant Download/Delivery. 0838908829, 978-0838908822
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ISBN 10: 0838908829
ISBN 13: 978-0838908822
Author: Diane I. Hillmann, Elaine L. Westbrooks
In the “Wild West” of digital library projects, pioneering information specialists have uncovered successful solutions, learned what to avoid, and how to proceed amid constant change. As administrator of “AskDCMI,” Diane Hillmann has fielded hundreds of questions from implementers. This new collection of reports from the field, co-Hillmann, is an opportunity for librarians to learn from the experience of others involved in technically diverse digital library archive projects.
Part One illustrates projects serving teachers, universities, Canadian educators, statewide collaborations, and geographical information, while Part Two addresses future trends. Considering these examples, with their unvarnished “lessons learned,” librarians will derive answers to such technical questions as:
- What are the major standards relevant to digital libraries?
- How do these elements relate to one another and to traditionallibrary practices?
- How do planners integrate cutting edge metadata issues intoproject planning?
- What does the future hold for harvesting, re-use, and re-purposingof information?
Sharing detailed results in candid reports, the contributors provide valuable information not readily available anywhere else. This collection offers project planners, metadata librarians, systems and technical services librarians, and catalogers a problem-solving approach and real-world supplement for their metadata needs.
Metadata in practice 1st Table of contents:
1. Introduction
- Overview of Metadata
- Importance of Metadata in Modern Systems
- Types of Metadata
- Role of Metadata in Data Management
- Purpose and Scope of the Book
2. Metadata Basics
- What is Metadata?
- Structure of Metadata
- Types of Metadata: Descriptive, Structural, Administrative
- Metadata Standards and Models
- Common Metadata Formats
- Metadata in Different Domains
3. Metadata and Data Management
- Metadata in Data Governance
- Metadata and Data Quality
- The Role of Metadata in Data Integration
- Metadata for Data Lineage and Provenance
- Metadata for Data Cataloging
- Data Discovery through Metadata
4. Metadata Standards and Frameworks
- Overview of Metadata Standards
- Dublin Core
- MARC (Machine-Readable Cataloging)
- METS (Metadata Encoding and Transmission Standard)
- MODS (Metadata Object Description Schema)
- Schema.org
- Other Industry-Specific Standards
5. Metadata in Digital Libraries and Repositories
- Role of Metadata in Digital Libraries
- Metadata for Archiving and Preservation
- Metadata in Content Management Systems
- Metadata and Search Functionality in Repositories
- Standards for Digital Preservation Metadata
- Case Studies in Digital Library Metadata
6. Metadata and Content Management Systems
- Overview of Content Management Systems (CMS)
- Metadata in CMS: Use Cases
- Metadata Models in CMS
- Integrating Metadata into CMS Workflows
- CMS Metadata and SEO (Search Engine Optimization)
- Best Practices for Metadata in CMS
7. Metadata for Search and Discovery
- Metadata and Information Retrieval
- The Role of Metadata in Search Engines
- Semantic Search and Metadata
- Linked Data and Metadata
- Metadata and User Experience in Search
- Improving Search Accuracy with Metadata
8. Metadata in Data Warehousing and Business Intelligence
- Metadata in Data Warehousing
- Metadata for ETL (Extract, Transform, Load) Processes
- Metadata and Data Modeling
- Metadata for Reporting and Analytics
- Using Metadata to Enhance Business Intelligence Systems
- Case Studies in Metadata-Driven BI
9. Metadata in Big Data and the Cloud
- Metadata in Big Data Ecosystems
- Metadata for Hadoop and NoSQL Databases
- Cloud-Based Metadata Management
- Metadata in Data Lakes
- Scalable Metadata Solutions for Big Data
- Challenges in Cloud Metadata Management
10. Metadata Management Tools and Technologies
- Overview of Metadata Management Tools
- Automated Metadata Extraction
- Metadata Repositories and Databases
- Tools for Metadata Cataloging and Search
- Metadata Management in Data Governance Platforms
- Vendor Solutions for Metadata Management
11. Best Practices for Metadata Management
- Organizing and Structuring Metadata
- Maintaining Metadata Consistency
- Metadata Documentation and Governance
- Metadata Lifecycle Management
- Strategies for Effective Metadata Integration
- Training and Awareness for Metadata Management
12. The Future of Metadata
- Trends in Metadata Technology
- The Role of AI and Machine Learning in Metadata
- The Impact of Blockchain on Metadata Management
- Metadata in the Context of the Internet of Things (IoT)
- Predictive Metadata and Automation
- The Evolution of Metadata Standards
13. Conclusion
- Key Takeaways
- The Growing Importance of Metadata
- Final Thoughts on Metadata in Practice
- Future Directions in Metadata Management
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