Metadata for Content Management: Designing taxonomy, metadata, policy and workflow to make digital content systems better for users.

Metadata for Content Management: Designing taxonomy, metadata, policy and workflow to make digital content systems better for users.
By David Diamond

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Product Description

Metadata for Content Management helps digital content managers design better content organization strategies, and envision and deploy creative ways in which metadata, taxonomy, policy and workflow can be used to make digital content systems more usable, functional and valuable to users.

Author David Diamond (DAM Survival Guide) avoids theoretical and academic discussions, instead providing real-world guidance to those designing or redesigning content management systems or digital asset management systems.


Product Details

  • Amazon Sales Rank: #557816 in Books
  • Published on: 2016-07-04
  • Original language: English
  • Dimensions: 9.25" h x .42" w x 7.50" l, .72 pounds
  • Binding: Paperback
  • 184 pages

Editorial Reviews

From the Author
Metadata for Content Management explains taxonomy, metadata, policy and workflow design as they pertain to the management of digital content--digital asset management, content management systems, enterprise content management, etc. The theory behind these topics is one thing; putting those theories to good use in content systems is another. The book is full of practical examples and advice that will help novice and experienced content managers better understand the importance of strategic metadata and system design that's sustainable and makes content systems more enjoyable for users.
 

Readers of DAM Survival Guide will find this book to be a nice "deep dive" of some of the topics therein, with much more focus on practical examples that can be applied to content systems today.

 Here is what the book contains:
  • Intro
  • What Made the Content System so Bad?
  • Taxonomy, Metadata, Tags and Controlled Vocabularies
    • The Software System Perspective
      • The taxonomy tree
      • Field filters as controlled vocabularies
      • Tags
      • Metadata schema
      • Location vs. attributes
  • Content System Advantages
  • Taxonomy Design from Scratch
    • Envision Organization
    • Real-world Taxonomy Examples
    • Determine Your Terms
    • Determine the Scope of Your Terms
    • Outward from the Root
    • Inferred Meaning through Hierarchy
    • Diving Too Deep
    • Derived Controlled Vocabularies
  • Tag-test a Sample Collection
  • Metadata Field Considerations
    • Reverse-engineering the Search
    • Single vs. Multiple Metadata Field Schemas
    • Structured Data vs. Unstructured Data
      • Metadata consistency
      • Pre-localized values
      • Clearer reporting
      • Reliable data exchange
      • Data validation
      • Data updates
      • Unstructured data that adds details
    • Metadata Field Types
    • Mandatory Field Values
    • Field Schema Layering
    • Adopting a Metadata Standard
      • Layering metadata standards
      • Standards as a starting point for discussion
    • Embedding Metadata into Distributed Files
  • Define Some Policy
    • What Content Management Policy Looks Like
    • Adapting Existing Policy
    • Policy Reviews and Revisions
    • Policy Example Questions
      • Section: Use of Content
      • Section: Tagging
      • Section: Archived Content
    • Additional Policy Considerations
      • System Considerations
      • Adding Content
      • Editing Content
      • Deleting Content
      • Editing Taxonomies
      • Editing System Configuration
      • User Reports and Inquiries
  • The Value of Synonyms
    • Synonyms in Practice
    • Slippery Synonyms
  • Localization Considerations
    • The Need for True Multi-language Support
      • User interface language
      • Unintentional homonyms
      • Download options
    • Controlling the Localization Workflow
      • Localization policy
      • Localizing newly added content
      • Localization updates
      • Localization improvements
  • Workflow Metadata
    • Automated Workflows
    • Human vs. Machine
    • Automated Manual Workflows
    • Deriving Metadata Requirements
    • Common and Useful Workflows
      • The notification workflow
      • Review and approval workflows
      • Verifications of taxonomy assignments and metadata changes
      • User-flagged errors, updates or reports
    • Managing massive tagging projects
      • Auto-tagging
      • Adding human resources
      • Tagging in concentric circles
      • Launch plan for an incomplete system
  • Metadata and Taxonomy Reviews
  • Future Metadata
    • Asking Experts
    • Fuzzy Logic means Fuzzy Metadata
    • Making Metadata Intriguing
    • Multiple Metadata Profiles
    • The Value of SME Verification and Opinion
    • Everything becomes a Linked Object
    • Algorithms vs. Education
  • Summary
  • Thanks and Next Steps
  • About the Author

About the Author
David Diamond has worked in the field of Digital Asset Management since 1998. His previous book, DAM Survival Guide, is considered by many industry gurus to be a must-read for those new to the field. In 2013, Diamond created DAM Guru Program, now the world's largest community of digital asset and content management professionals. In the same year, he was awarded the "DAMMY of the Year," the industry's highest honor, for his contributions to content management education. Diamond has held senior management positions at Apple, Sony and the University of Southern California. He is an accomplished 3D illustrator and author for aviation audiences, and a licensed pilot. Diamond co-founded, recorded and toured with the 80s band Berlin. He lives in Truckee, California, from where he directs global community education and marketing for Swiss software maker, Picturepark. Diamond's first two books, "Flight Training: Taking the Short Approach" and "DAM Survival Guide," are available from Amazon and other booksellers.


Customer Reviews

Most helpful customer reviews

2 of 2 people found the following review helpful.
5A Practical Guide for Making Content Systems Work
By Niels E. Nielsen
David Diamond places metadata at the center of content management, where it belongs. In a conversational and non-dogmatic style, he takes us through the essentials of creating metadata for content assets, explaining the options for organizing it into controlled lists, taxonomies, or adaptive metadata layers. IT policy, content localization, and asset management workflow are all placed in the context of the metadata needed to manage and control your content.

Anyone who has set up a Digital Asset Management capability or implemented a DAM system knows how hard it can be to secure user acceptance, particularly because tagging assets is viewed (rightly) as extra work. Diamond’s advice throughout the book reflects his real-world experience making a blend of automated and manual metadata management work in practice.

If you are starting a Digital Asset Management program or shopping for a DAM system, read this book first. Diamond’s ideas, examples, and questions will help you focus on what’s most important instead of being distracted by the details of technology. If you have an active DAM system and organization, his book will be a helpful refresher and test of where you can improve your practices.

1 of 1 people found the following review helpful.
4I always like to pick other people’s brains when it comes to ...
By JeanneB
I always like to pick other people’s brains when it comes to metadata which is why I found David Diamond’s book Metadata for Content Management extremely helpful. I learned quite a bit from his examples of policy considerations, workflows and localization issues. The book is not overwhelming and it is a quick read; I highly recommend picking it up for your personal reference library.

See all 2 customer reviews...

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