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J E N N R I L E Y
M E T A D A T A L I B R A R I A N
I N D I A N A U N I V E R S I T Y D I G I T A L L I B R A R Y
P R O G R A M
Shareable Metadata for Visual
Resources
3/18/2010
VRA 2010
3/18/2010
VRA 2010
3/18/2010
VRA 2010
3/18/2010
VRA 2010
What does this record describe?
<dc:title>Bowie County Texas (County Number 19,
Supplementary Sheet D)</dc:title>
<dc:creator>Texas Transportation Planning and Programming
Division.</dc:creator>
<dc:subject>Texarkana</dc:subject>
<dc:subject>Kennedy Lake</dc:subject>
<dc:subject>Coca Cola Lake</dc:subject>
<dc:subject>Hobo Jungle Park</dc:subject>
<dc:publisher>The General Libraries, University of
State</dc:publisher>
<dc:identifier>http://library.university.edu/raw/tcbowid1.html
</dc:identifier>
Record harvested via OAI PMH 2-26-2007
3/18/2010
VRA 2010
3/18/2010
VRA 2010
And this one?
<dc:identifier>http://museum.university.edu/unique identifier</dc:identifier>
<dc:publisher>State University Museum of Ichthyology, Fish Field
Notes</dc:publisher>
<dc:format>jpeg</dc:format>
<dc:rights>These pages may be freely searched and displayed. Permission must be
received for subsequent distribution in print or electronically. Please go to
http://museum,univeristy,edu/ for more information.</dc:rights>
<dc:type>image</dc:type>
<dc:description>1926; 0070; 06; Little S. Br. Pere Marquette R.; THL26-68; 71300;
71301; 71302; 71303; 71304; 71305; 71306; 71307; 71308; 71309; 07; 1926/07/06;
R12W; S09; Second collector Moody; T16N</dc:description>
<dc:subject>Cottus bairdi; Esox lucius; Cottus cognatus; Etheostoma nigrum; Salmo
trutta; Oncorhynchus mykiss; Catostomus commersoni; Pimephales notatus;
Margariscus margarita; Rhinichthys atratulus; mottled sculpin; northern pike; slimy
sculpin; johnny darter; brown trout; rainbow trout; white sucker; bluntnose
minnow…</dc:subject>
<dc:language>UND</dc:language>
<dc:source>Michigan 1926 Langlois, v. 1 1926--1926; </dc:source>
Record harvested via OAI PMH 2-27-2007
3/18/2010
VRA 2010
3/18/2010
VRA 2010
Why Share?
 Sharing benefits users
 One-stop searching (maybe)
 Ability to create customized searches of specific domains
 Brings together distributed collections
 Sharing benefits your institution
 Increases exposure of collections
 Broadens user base
 Potentially adds collaboration opportunities
 We can no longer assume that users will come through the front
door—sharing metadata gets us “in the flow”
 Thinking about sharing now will help your future system
migration
3/18/2010
VRA 2010
Sharing allows our users to help us
3/18/2010
VRA 2010
Sharing metadata: Federated search
The distributed databases are searched directly.
Mill?
<title>My
resource<
/title>
<date>04
<title>My
resource<
/title>
<date>04
<title>My
resource<
/title>
<date>04
For Example:
Z39.50, SRU
3/18/2010
VRA 2010
Sharing metadata: Data aggregation
The user searches a pre-aggregated database of metadata
from diverse sources.
Mill?
<title>My
resource<
/title>
<date>04
For Example: Search engines,
union catalogs, OAI PMH, RSS
3/18/2010
VRA 2010
3/18/2010
VRA 2010
Collection
Registries
?????
Photograph from Indiana University Charles W.
Cushman Collection
Shareable Metadata…
 Is quality metadata
 Promotes search interoperability - “the ability
to perform a search over diverse sets of
metadata records and obtain meaningful
results” (Priscilla Caplan)
 Is human understandable outside of its local
context
 Is useful outside of its local context
 Preferably is machine processable
3/18/2010
VRA 2010
Shareable Metadata as a View
 Metadata is not monolithic
 Metadata should be a view projected from a single
information object
 Create multiple views appropriate for groups of
important sharing venues
 Depends on:
 Use
 Audience
3/18/2010
VRA 2010
The Cs & Ss of Shareable Metadata
Content
Coherence
Context
Communication
Consistency
Conformance to
Standards
3/18/2010
VRA 2010
LC MODS Record for Adams Image
3/18/2010
VRA 2010
Special Sharing Challenges for the VR Community
 Documentary approach vs. art approach to description
 Work vs. Image distinction
 Original works vs. copies
 De-duplication is hard!
 OAI-PMH data providers not available in most
commonly-used systems
 Many VR professionals don’t have access to a great deal
of institutional IT support
 Need sharing for both end-user access and copy
cataloging
 UCAI effort uncovered many of these challenges, and
others
3/18/2010
VRA 2010
Look for more ways to try, regardless!
Thank you!
3/18/2010
VRA 2010
 Questions?
 For more information:
 jenlrile@indiana.edu
 These presentation slides:
<http://www.dlib.indiana.edu/~jenlrile/presentations/
vra2010/rileyVRA2010.pptx>
 Shreeves, Sarah L., Jenn Riley, and Liz Milewicz. "Moving
towards shareable metadata." First Monday 11, no. 8 (7 August
2006).
<http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/
fm/article/view/1386/1304>

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Shareable Metadata for Visual Resources

  • 1. J E N N R I L E Y M E T A D A T A L I B R A R I A N I N D I A N A U N I V E R S I T Y D I G I T A L L I B R A R Y P R O G R A M Shareable Metadata for Visual Resources
  • 6. What does this record describe? <dc:title>Bowie County Texas (County Number 19, Supplementary Sheet D)</dc:title> <dc:creator>Texas Transportation Planning and Programming Division.</dc:creator> <dc:subject>Texarkana</dc:subject> <dc:subject>Kennedy Lake</dc:subject> <dc:subject>Coca Cola Lake</dc:subject> <dc:subject>Hobo Jungle Park</dc:subject> <dc:publisher>The General Libraries, University of State</dc:publisher> <dc:identifier>http://library.university.edu/raw/tcbowid1.html </dc:identifier> Record harvested via OAI PMH 2-26-2007 3/18/2010 VRA 2010
  • 8. And this one? <dc:identifier>http://museum.university.edu/unique identifier</dc:identifier> <dc:publisher>State University Museum of Ichthyology, Fish Field Notes</dc:publisher> <dc:format>jpeg</dc:format> <dc:rights>These pages may be freely searched and displayed. Permission must be received for subsequent distribution in print or electronically. Please go to http://museum,univeristy,edu/ for more information.</dc:rights> <dc:type>image</dc:type> <dc:description>1926; 0070; 06; Little S. Br. Pere Marquette R.; THL26-68; 71300; 71301; 71302; 71303; 71304; 71305; 71306; 71307; 71308; 71309; 07; 1926/07/06; R12W; S09; Second collector Moody; T16N</dc:description> <dc:subject>Cottus bairdi; Esox lucius; Cottus cognatus; Etheostoma nigrum; Salmo trutta; Oncorhynchus mykiss; Catostomus commersoni; Pimephales notatus; Margariscus margarita; Rhinichthys atratulus; mottled sculpin; northern pike; slimy sculpin; johnny darter; brown trout; rainbow trout; white sucker; bluntnose minnow…</dc:subject> <dc:language>UND</dc:language> <dc:source>Michigan 1926 Langlois, v. 1 1926--1926; </dc:source> Record harvested via OAI PMH 2-27-2007 3/18/2010 VRA 2010
  • 10. Why Share?  Sharing benefits users  One-stop searching (maybe)  Ability to create customized searches of specific domains  Brings together distributed collections  Sharing benefits your institution  Increases exposure of collections  Broadens user base  Potentially adds collaboration opportunities  We can no longer assume that users will come through the front door—sharing metadata gets us “in the flow”  Thinking about sharing now will help your future system migration 3/18/2010 VRA 2010
  • 11. Sharing allows our users to help us 3/18/2010 VRA 2010
  • 12. Sharing metadata: Federated search The distributed databases are searched directly. Mill? <title>My resource< /title> <date>04 <title>My resource< /title> <date>04 <title>My resource< /title> <date>04 For Example: Z39.50, SRU 3/18/2010 VRA 2010
  • 13. Sharing metadata: Data aggregation The user searches a pre-aggregated database of metadata from diverse sources. Mill? <title>My resource< /title> <date>04 For Example: Search engines, union catalogs, OAI PMH, RSS 3/18/2010 VRA 2010
  • 14. 3/18/2010 VRA 2010 Collection Registries ????? Photograph from Indiana University Charles W. Cushman Collection
  • 15. Shareable Metadata…  Is quality metadata  Promotes search interoperability - “the ability to perform a search over diverse sets of metadata records and obtain meaningful results” (Priscilla Caplan)  Is human understandable outside of its local context  Is useful outside of its local context  Preferably is machine processable 3/18/2010 VRA 2010
  • 16. Shareable Metadata as a View  Metadata is not monolithic  Metadata should be a view projected from a single information object  Create multiple views appropriate for groups of important sharing venues  Depends on:  Use  Audience 3/18/2010 VRA 2010
  • 17. The Cs & Ss of Shareable Metadata Content Coherence Context Communication Consistency Conformance to Standards 3/18/2010 VRA 2010
  • 18. LC MODS Record for Adams Image 3/18/2010 VRA 2010
  • 19. Special Sharing Challenges for the VR Community  Documentary approach vs. art approach to description  Work vs. Image distinction  Original works vs. copies  De-duplication is hard!  OAI-PMH data providers not available in most commonly-used systems  Many VR professionals don’t have access to a great deal of institutional IT support  Need sharing for both end-user access and copy cataloging  UCAI effort uncovered many of these challenges, and others 3/18/2010 VRA 2010 Look for more ways to try, regardless!
  • 20. Thank you! 3/18/2010 VRA 2010  Questions?  For more information:  jenlrile@indiana.edu  These presentation slides: <http://www.dlib.indiana.edu/~jenlrile/presentations/ vra2010/rileyVRA2010.pptx>  Shreeves, Sarah L., Jenn Riley, and Liz Milewicz. "Moving towards shareable metadata." First Monday 11, no. 8 (7 August 2006). <http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/ fm/article/view/1386/1304>