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Designing
Metadata to
Meet User
Needs for
Special
Collections
Allison Jai O’Dell
Image: Special Collections Reading Room,
Library East, University of Florida, Gainesville
http://en.wikipedia.org/wiki/File:UFHistoricBuildingSmathersLibraryEastInteriorSpecialCollectionsRoom.JPG
#/media/File:UFHistoricBuildingSmathersLibraryEastInteriorSpecialCollectionsRoom.JPG
What do users need?
(the question that answers all the other questions)
Schaffner’s synthesis of user studies
• Users search by subjects and keywords
• Users expect results ranked by relevance
• Users expect comprehensive coverage
• Users know how to scan and scroll
• Users lack awareness about collections
Schaffner, The Metadata is the Interface.
http://www.oclc.org/programs/publications/reports/2009-06.pdf
Users search by
subjects & keywords
Let’s buff up subject and keyword access!
Better Indexing
• Appropriate hierarchies & subdivisions
match the granularity of user searches and browses
• User-supplied “tags”
added value
show how users want to access and organize library resources;
data that libraries can use to inform better metadata and services
• Control (and publish!) local vocabularies
• URIs
Things, not Strings
Abstracting
• Support keyword access
• Provide context
• Let users know:
What it features
What it is
What it can be used for
Topic Modeling
• Cluster related subjects together
ID collection strengths (“shop your closet”)
Let users surf related things
• Lets us get away with iffy data
Does not require that every item in a subject area has the
exact same heading
Users expect results
ranked by relevance
Let’s support appropriate results!
Relevancy Ranking
• Based on: where the search term appears
Subject headings Title
Abstracts Author-supplied keywords
Full text
• Based on: what it is
Current publication Peer-reviewed
Type of material Length of material
… We can do better
Semantic Search
Semantic search technology relates user search
queries to their probable intent, thereby offering more
relevant results. This technology is built on a
combination of understanding humans (e.g., natural
language processing, concept matching) and
understanding data (e.g., easily-parsed, uses URIs).
Understandable Data
Linked Data = Data that machines understand
• BIBFRAME
• Microformats
Schema.org
Bib Extend
Users expect
comprehensive
coverage
Let’s describe all the things!
Aggregate Description
• Collection records in catalog
• Finding aids
• Landing pages
• Subject guides
Greene & Meissner, More Product, Less Process
http://www.uiowa.edu/~c024120/Readings/Greene-Meissner.pdf
Iterative Description
• Content upgrades
• Cooperative description
• User-supplied content
• Links to external resources
• Ingest external data
Ascher, Progressing toward Bibliography
http://rbm.acrl.org/content/10/2/95.full.pdf
Users know how to
scan and scroll
Let’s support browsing!
Arrangement
• Classification & call numbers
• Shelflists
• Series
• Controlled access points
Subject & genre headings
Creators & other names
Uniform Resource Identifiers (URIs)
Controlled access points … For the interwebs!
• Connect library collections
• Let users surf library resources alongside the Web
Guided Search
Orientation, Inspiration & Interpretation
• Subject guides
• Saved searches
• Bibliographies
• Pathfinders
• Visualization
Visualization
Users lack awareness
about collections
Let’s put collections in their face;
Let’s get the metadata out there!
Put Your Metadata Other Places
Let Folks Access Your Metadata
• OAI-PMH & OAIster
• APIs
• SPARQL endpoints
• Data dumps
• Export options
• Linked Data: expose data
to the Web
• URIs: create links between
library metadata & other
resources
Create Shareable Metadata
• Content is optimized for sharing
• Metadata … reflects consistent practices
• Metadata is coherent
• Context is provided
• The metadata provider communicates with aggregators
• Metadata and sharing mechanisms conform to standards
Shreeves, Riley, and Milewicz, Moving Towards Shareable Metadata.
http://firstmonday.org/ojs/index.php/fm/article/view/1386/1304
More Considerations
Internationalization
• Use clear, concise language
• Cultural relevance
• Character encoding
Policy
• Explicit CC license
• Own the data you share
Thank you!
@AllisonJaiODell | ajodell@gmail.com

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Designing Metadata to Meet User Needs for Special Collections

  • 1. Designing Metadata to Meet User Needs for Special Collections Allison Jai O’Dell Image: Special Collections Reading Room, Library East, University of Florida, Gainesville http://en.wikipedia.org/wiki/File:UFHistoricBuildingSmathersLibraryEastInteriorSpecialCollectionsRoom.JPG #/media/File:UFHistoricBuildingSmathersLibraryEastInteriorSpecialCollectionsRoom.JPG
  • 2. What do users need? (the question that answers all the other questions)
  • 3. Schaffner’s synthesis of user studies • Users search by subjects and keywords • Users expect results ranked by relevance • Users expect comprehensive coverage • Users know how to scan and scroll • Users lack awareness about collections Schaffner, The Metadata is the Interface. http://www.oclc.org/programs/publications/reports/2009-06.pdf
  • 4. Users search by subjects & keywords Let’s buff up subject and keyword access!
  • 5. Better Indexing • Appropriate hierarchies & subdivisions match the granularity of user searches and browses • User-supplied “tags” added value show how users want to access and organize library resources; data that libraries can use to inform better metadata and services • Control (and publish!) local vocabularies • URIs
  • 7. Abstracting • Support keyword access • Provide context • Let users know: What it features What it is What it can be used for
  • 8. Topic Modeling • Cluster related subjects together ID collection strengths (“shop your closet”) Let users surf related things • Lets us get away with iffy data Does not require that every item in a subject area has the exact same heading
  • 9. Users expect results ranked by relevance Let’s support appropriate results!
  • 10. Relevancy Ranking • Based on: where the search term appears Subject headings Title Abstracts Author-supplied keywords Full text • Based on: what it is Current publication Peer-reviewed Type of material Length of material … We can do better
  • 11. Semantic Search Semantic search technology relates user search queries to their probable intent, thereby offering more relevant results. This technology is built on a combination of understanding humans (e.g., natural language processing, concept matching) and understanding data (e.g., easily-parsed, uses URIs).
  • 12. Understandable Data Linked Data = Data that machines understand • BIBFRAME • Microformats Schema.org Bib Extend
  • 14. Aggregate Description • Collection records in catalog • Finding aids • Landing pages • Subject guides Greene & Meissner, More Product, Less Process http://www.uiowa.edu/~c024120/Readings/Greene-Meissner.pdf
  • 15. Iterative Description • Content upgrades • Cooperative description • User-supplied content • Links to external resources • Ingest external data Ascher, Progressing toward Bibliography http://rbm.acrl.org/content/10/2/95.full.pdf
  • 16. Users know how to scan and scroll Let’s support browsing!
  • 17. Arrangement • Classification & call numbers • Shelflists • Series • Controlled access points Subject & genre headings Creators & other names
  • 18. Uniform Resource Identifiers (URIs) Controlled access points … For the interwebs! • Connect library collections • Let users surf library resources alongside the Web
  • 19. Guided Search Orientation, Inspiration & Interpretation • Subject guides • Saved searches • Bibliographies • Pathfinders • Visualization
  • 21. Users lack awareness about collections Let’s put collections in their face; Let’s get the metadata out there!
  • 22. Put Your Metadata Other Places
  • 23. Let Folks Access Your Metadata • OAI-PMH & OAIster • APIs • SPARQL endpoints • Data dumps • Export options • Linked Data: expose data to the Web • URIs: create links between library metadata & other resources
  • 24. Create Shareable Metadata • Content is optimized for sharing • Metadata … reflects consistent practices • Metadata is coherent • Context is provided • The metadata provider communicates with aggregators • Metadata and sharing mechanisms conform to standards Shreeves, Riley, and Milewicz, Moving Towards Shareable Metadata. http://firstmonday.org/ojs/index.php/fm/article/view/1386/1304
  • 25. More Considerations Internationalization • Use clear, concise language • Cultural relevance • Character encoding Policy • Explicit CC license • Own the data you share
  • 26. Thank you! @AllisonJaiODell | ajodell@gmail.com