1. The document discusses how to optimize metadata and taxonomy by creating a content strategy plan, determining key metrics, applying metadata to content, and communicating results to stakeholders.
2. It outlines the key steps: create a content strategy plan, determine metrics to measure goals, apply metadata to content using a metadata schema, and communicate results using reports and queries.
3. Applying metadata according to the strategy helps users find content and measures strategy success, while communicating results builds trust and credibility with stakeholders.
4. Key steps
1. Create your content
strategy plan
2. Determine the metrics
that will be used to
measure those goals
3. Apply metadata to
content
4. Communicate results
to stakeholders
Communicate
results
Metadata
Key metrics
Content
strategy
7. What makes a content strategy?
• Content strategy defines the your content business
goals in a succinct, substantive statement
Info model
Content reuse strategy
Metadata strategy
User experience
Workflows, processes
Tools
Other standards, etc.
8. Why do we need metrics for content
strategy?
• Credibility
Credible professions require to show that goals are met
Credibility helps build trust
• Trust
Use metrics to build trust with stakeholders
Provide the value of our work to stakeholders, whom we may never
meet face-to-face
Metrics become our face and are the foundation for establishing
trust
• Reputation
Earned by showing the capabilities and values in our past work
We have to be able to show that we have met the goals of our
content strategy plan
9. Benchmarking
• Benchmarking is a comparison of your content
strategy with your competitors
Performance benchmarking – How does our
performance compare with our competitors
performance?
Process benchmarking – How can we learn from the
business processes of our competitors?
11. What do you need to do?
• Put together your content strategy plan:
What content?
What products and services?
What do your customers need to know?
What content will benefit your business for your customers to
know?
What audiences?
What do your customers need?
14. Reasons for measuring
• Douglas Hubbard, in How to Measure Anything,
says that we need effective measurements to
make better decisions
Diagnosis – Determine how a specific part of the content
strategy is performing
Justification – Justify continuing a part of the content
strategy
Orientation – Use to make decisions about the direction
of the content strategy
Rewards – Assess the improvements made as part of
the content strategy and how to reward individuals or
groups
15. Measurement
• Measurement relies on the collection and analysis
of data, which are then compared to standards,
goals, objectives, etc.
• Assessment questions:
How many?
How economical?
How accurate?
How reliable?
How prompt?
How satisfied?
16. Examples of criteria for assessing
value
User criteria Value added examples
Ease of use • Indexing
• Glossary
• Linking
• Access (subject description, short descriptions)
• Ordering/sequencing
Quality • Item identification
• Currency
• Reliability
• Validity
• Conciseness
Adaptability • Response speed
• Precision
18. Categories of measurement
• Process measures
Focused on the activities to transform data and
information into content
Can be measured by quantifying the cost or time to
perform a specific task or process
• Output measures
Indicate the degree to which content is used by users
Indicate satisfaction of users
21. Metadata is….
• Correct, but ambiguous
Data about data
Information about data
• A little more descriptive
Structured information that describes, explains, locates,
or otherwise makes it easier to retrieve, use, or manage
an information object (Zeng and Qin)
Data provided in machine processable forms and
communicated via protocols
22. DITA is metadata and requires
metadata
• DITA, as XML, is a veritable sea of metadata for
information development groups
• You can’t use DITA without having metadata
solutions to help solve problems and help with use
cases
• A strong metadata strategy will give users
mechanisms to access the information they need
for common search and retrieval use cases
23. Principles of metadata
• Good metadata…
Supports interoperability
Supports organizational needs
Is appropriate to the materials in the collection
Uses standard controlled vocabularies
Includes a clear statement on the conditions and terms
of use
Supports the long-term management of objects
24. Why is metadata important?
• Metadata is critical for finding information in the
CMS
Searching can be enhanced by rich, consistent,
descriptive metadata
• Metadata is critical for enabling dynamic publishing
Publishing for different audiences, customers, and so on
Faceted searching
• Metadata classifies information to make it more
findable on the Web
25. Metadata supports…
• Increased accessibility
• Retention of context
• Expanding use
• System development and enhancement
• Multi-versioning
• System improvements and economics
26. Metadata Typologies in the DITA
CMS
• Embedded metadata
Stored as part of the DITA objects
Stored in prologs of maps and topics
• Associated metadata
Stored separately with linkages in the CMS
Stored in CMS properties files
29. Embedded or associated?
• Use embedded metadata
Searching in the CMS
Needs to be used in output
Needs to travel with the object for localization or
interchange
• Use associated metadata
Searching in a portal
Metadata is manifested when objects are in locked
states
30. Types of metadata
Type Descriptive Structural Administrative
Description Describes an object
for purposes such as
findability and
identification
Indicates how the
type of objects
Provides
information to help
manage objects
Examples topic IDs, index terms
and keywords,
conditional attribute
values
root elements
(topic types)
rights, states,
dependencies
31. Common Quality Issues
• Missing metadata
• Incorrect metadata
• Confusing metadata
• Insufficient metadata
All impact issues impact discovery, interoperability,
and reusability.
33. Existing Metadata
• Industry standards
Check with the standards bodies for your organization to
see if there are existing metadata schemes
• Channel/format standards
Dublin Core
SCORM
34. What do you need to do?
Develop your metadata strategy:
1. Determine the metadata to measure the success
of your content strategy
And to help CMS users find files in CMS
2. Decide where to apply metadata
Document the schema
Produce guidelines for using the schema
3. Apply metadata to content
4. Test metadata for creating reports
37. Graphical and tabular information
• CMS Reports
• TSV from Search Results
• BIRT: Business Intelligence and Reporting Tools
38. What do you need to do?
Communicate the progress on the content strategy
plan:
1. Build a report template
2. Create queries to measure your key metrics
3. Create report and insert query results into report
Identify the objectives of your content strategy
Definition of a metric or score for each objective
A target value
A target date
A periodic measurement cycle
4. Meet with stakeholders
39. Resources
• Rockley, Ann & Cooper, Charles. Managing
Enterprise Content: A Unified Content Strategy
(2nd ed.).
• Baca, Murtha (ed.). Introduction to Metadata, 2nd
ed.
• Peh, Diana, et al. BIRT: A Field Guide.
• Weinberger, David. Everything is Miscellaneous:
The Power of the New Digital Disorder.
• Zeng, Marcia L & Qin, Jian. Metadata.
40. Resources
• Baca, Murtha (ed.). Introduction to Metadata, 2nd
ed.
• DITA 1.2 specification.
• Hedden, Heather. The Accidental Taxonomist (The
Accidental Library Series).
• Morville, Peter. Ambient Findability: What We Find
Changes Who We Become.
• Weinberger, David. Everything is Miscellaneous:
The Power of the New Digital Disorder.
• Zeng, Marcia L & Qin, Jian. Metadata.