From implementing a single taxonomy across an enterprise to enabling comparison and exchange across diverse datasets, metadata will make or break the greater experience you are building.
This presentation explores the role of metadata in the design of cross-channel experiences. Looking at administrative, descriptive and structural metadata we will learn strategies for enabling consistency, context and interoperability across channels and devices.
Using examples including broadcast media, identity management, and schema development this presentation will explore how information is presented, linked and exchanged across media, channels, touchpoints.
By the end of the session participants will understand how metadata supports UX methods including content strategy, search optimization, form design and taxonomy development. Participants will leave with new ideas and methods ready to apply to their current projects.
Presented at the EuroIA conference in Edinburgh, Scotland September 28, 2013.
15. 3TYPES OF METADATA
• Administrative Metadata
Used to manage information objects
• Descriptive Metadata
Used to discover and identify information objects
16. 3TYPES OF METADATA
• Administrative Metadata
Used to manage information objects
• Descriptive Metadata
Used to discover and identify information objects
• Structural Metadata
Used to structure and exchange information objects
46. Lexicon
the words and phrases used in
an information exchange
Semantics
The meaning of the words and
phrases used
47. Lexicon
the words and phrases used in
an information exchange
Semantics
The meaning of the words and
phrases used
Syntax
How information is expressed
48.
49. How do we document
Lexicon, Semantics,
and Syntax?
52. Data Standards
define how data is captured and exchanged
Controlled Vocabulary
defines semantics and syntax of words used in a domain
53. Data Standards
define how data is captured and exchanged
Controlled Vocabulary
defines semantics and syntax of words used in a domain
Thesauri
preferred terms, hierarchy and associative relationships
54. Data Standards
define how data is captured and exchanged
Controlled Vocabulary
defines semantics and syntax of words used in a domain
Thesauri
preferred terms, hierarchy and associative relationships
Taxonomy
classes, structure and hierarchy
55. Data Standards
define how data is captured and exchanged
Controlled Vocabulary
defines semantics and syntax of words used in a domain
Thesauri
preferred terms, hierarchy and associative relationships
Taxonomy
classes, structure and hierarchy
Ontology
domain representation, complex relationships
85. Organization 1
Show how metadata enables:
•Publishing across platforms (portals & intranets)
86. Organization 1
Show how metadata enables:
•Publishing across platforms (portals & intranets)
•New products from new data
87. Organization 1
Show how metadata enables:
•Publishing across platforms (portals & intranets)
•New products from new data
•Content Strategy & Responsive Design
88. Organization 1
Show how metadata enables:
•Publishing across platforms (portals & intranets)
•New products from new data
•Content Strategy & Responsive Design
•Consistency in User Interfaces
89. Organization 1
Show how metadata enables:
•Publishing across platforms (portals & intranets)
•New products from new data
•Content Strategy & Responsive Design
•Consistency in User Interfaces
•Fewer errors and less re-work... happier users!
90. Organization 1
Show how metadata enables:
•Publishing across platforms (portals & intranets)
•New products from new data
•Content Strategy & Responsive Design
•Consistency in User Interfaces
•Fewer errors and less re-work... happier users!
•Rights management:Access, Security and Usage
91. Organization 1
Show how metadata enables:
•Publishing across platforms (portals & intranets)
•New products from new data
•Content Strategy & Responsive Design
•Consistency in User Interfaces
•Fewer errors and less re-work... happier users!
•Rights management:Access, Security and Usage
•Persistence, findability & re-use in an enterprise
92. Organization 1
Show how metadata enables:
•Publishing across platforms (portals & intranets)
•New products from new data
•Content Strategy & Responsive Design
•Consistency in User Interfaces
•Fewer errors and less re-work... happier users!
•Rights management:Access, Security and Usage
•Persistence, findability & re-use in an enterprise
•Improved productivity and collaboration
93. Organization 1
Show how metadata enables:
•Publishing across platforms (portals & intranets)
•New products from new data
•Content Strategy & Responsive Design
•Consistency in User Interfaces
•Fewer errors and less re-work... happier users!
•Rights management:Access, Security and Usage
•Persistence, findability & re-use in an enterprise
•Improved productivity and collaboration
Link metadata to other projects!
99. Organization 1
Defining your data:
•Choose the right project
•Define what you need to define
•Get the right people involved
100. Organization 1
Defining your data:
•Choose the right project
•Define what you need to define
•Get the right people involved
•Iterate, iterate, iterate
101. Organization 1
Defining your data:
•Choose the right project
•Define what you need to define
•Get the right people involved
•Iterate, iterate, iterate
•Use existing standards
102. Organization 1
Defining your data:
•Choose the right project
•Define what you need to define
•Get the right people involved
•Iterate, iterate, iterate
•Use existing standards
•Use combinations of existing standards
103. Organization 1
Defining your data:
•Choose the right project
•Define what you need to define
•Get the right people involved
•Iterate, iterate, iterate
•Use existing standards
•Use combinations of existing standards
•Document the work you’ve done
104. Organization 1
Defining your data:
•Choose the right project
•Define what you need to define
•Get the right people involved
•Iterate, iterate, iterate
•Use existing standards
•Use combinations of existing standards
•Document the work you’ve done
•Bake it into organizational policy
105. Organization 1
Defining your data:
•Choose the right project
•Define what you need to define
•Get the right people involved
•Iterate, iterate, iterate
•Use existing standards
•Use combinations of existing standards
•Document the work you’ve done
•Bake it into organizational policy
•Small wins lead to big wins
106. Organization 1
Defining your data:
•Choose the right project
•Define what you need to define
•Get the right people involved
•Iterate, iterate, iterate
•Use existing standards
•Use combinations of existing standards
•Document the work you’ve done
•Bake it into organizational policy
•Small wins lead to big wins
You have to start somewhere!
111. Organization 1
Building the infrastructure:
•Choose the right project
•Find partners in & outside the organization
112. Organization 1
Building the infrastructure:
•Choose the right project
•Find partners in & outside the organization
•Identify existing & proposed data exchanges
113. Organization 1
Building the infrastructure:
•Choose the right project
•Find partners in & outside the organization
•Identify existing & proposed data exchanges
•Map differences between data sets
114. Organization 1
Building the infrastructure:
•Choose the right project
•Find partners in & outside the organization
•Identify existing & proposed data exchanges
•Map differences between data sets
•Create machine readable XML schema based on
definitions you’ve created
115. Organization 1
Building the infrastructure:
•Choose the right project
•Find partners in & outside the organization
•Identify existing & proposed data exchanges
•Map differences between data sets
•Create machine readable XML schema based on
definitions you’ve created
•Talk about what you are doing
116. Organization 1
Building the infrastructure:
•Choose the right project
•Find partners in & outside the organization
•Identify existing & proposed data exchanges
•Map differences between data sets
•Create machine readable XML schema based on
definitions you’ve created
•Talk about what you are doing
•Show what you did
117. Organization 1
Building the infrastructure:
•Choose the right project
•Find partners in & outside the organization
•Identify existing & proposed data exchanges
•Map differences between data sets
•Create machine readable XML schema based on
definitions you’ve created
•Talk about what you are doing
•Show what you did
Rome wasn’t built in a day!