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Next-Gen Catalogs Are Only Half Part of the Solution

Andrew Nagy, Serials Solutions Scott Garrison, Western Michigan University. Next-Gen Catalogs Are Only Half Part of the Solution. Villanova’s background. Master’s level private Catholic university Undergrad enrollment = ~6,000 One main library ~850,000 bibliographic records

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Next-Gen Catalogs Are Only Half Part of the Solution

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  1. Andrew Nagy, Serials Solutions Scott Garrison, Western Michigan University Next-Gen Catalogs Are Only Half Part of the Solution

  2. Villanova’s background • Master’s level private Catholic university • Undergrad enrollment = ~6,000 • One main library • ~850,000 bibliographic records • ~300 subscription databases • Voyager, SFX, MetaLib

  3. WMU’s background • Carnegie research university • Undergrad enrollment = 25,000+ • 5 libraries serving multiple sites statewide • 1.6M+ bibliographic records • 400+ databases • 4,500+ print journals • 42,000+ online journals • Voyager, SFX, CONTENTdm, Luna

  4. The Problem

  5. OPAC silo • Hasn’t kept up with Web, users’ expectations • Limited customization • Antiquated, rigid search technologies • Designed for known-item searching • Libraries have set expectations, learned to compensate accordingly

  6. Ejournal and database silos • More every year in multiple packages • More alternatives, more confusion • Multiple A-Z lists to maintain, use • Interfaces change regularly • Query syntax varied, requires instruction??? • “The version of ______ I teach is _______”

  7. Silo fatigue

  8. Cross-silo federated search • Allows some general, discipline searching • Mixed, incomplete results • As slow as the slower silos • If local, very network-inefficient • Many different metadata schemas, less sophisticated searching

  9. Changing marketplace • Vendor acquisitions, consolidation, catch-up • Open source options are emerging • Some products are still years away • All of the above leads to great FUD

  10. “Discovery” dis⋅cov⋅er [di-skuhv-er] –verb (used with object) 1. to see, get knowledge of, learn of, find, or find out; gain sight or knowledge of (something previously unseen or unknown): to discover America; to discover electricity. 2. to notice or realize: I discovered I didn't have my credit card with me when I went to pay my bill. 3. Archaic. to make known; reveal; disclose.

  11. Discovery layer • Searching for the 21st century • Built on 21st century technology • Highly configurable interfaces • Puts our metadata to better use • Works for OPAC and other silos but relies on federated search, though evolving

  12. User expectations • Broad discovery of both known and unknown items in our collections, not just in their discipline • Be more like Google: simple, easy, fast • fewer places to look for more kinds of content • big recall is OK as long as most relevant is first • get to the actual item in fewest clicks possible

  13. The Next-Generation Catalog

  14. What does it do? • Provides simple, easy access to the library’s local collections • Supplements “classic” OPAC • Refines searches with “facets” • Includes external sources and community features • Wikipedia, tagging

  15. Examples • Open source • VuFind • Blacklight • eXtensible Catalog • built on Lucene/Solr/Drupal • Commercial • AquaBrowser • WorldCat Local • Primo • Encore • Endeca

  16. VuFind • Mellon Award for Technology Collaboration winner 2008! • ILS-agnostic, runs alongside OPAC • Works for libraries of all sizes • Uses Apache Solr and AJAX • Feature rich • text messaging, Wikipedia author biographies, tagging and commenting, public lists

  17. VuFind at WMU • alpha fall 2008, beta spring 2009, “1.0” fall 2009 • Customized the source in a variety of ways • SolrMARC importer, Voyager driver • search definitions, indexes, facet display • Usability tested 2008-2009 • Still tweaking our indexes, relevance • “1.2” version coming spring 2010

  18. VuFind at WMU • Has helped us around limitations in Voyager • Recall => huge adjustment for librarians • Has prompted us to reconsider how we work • Themes from usability testing • fewer failed searches • user less likely to give up searching • users curious about things like tagging

  19. VuFind at WMU

  20. What do users want and need?

  21. One compelling starting place • Librarians, users • will use Amazon to find and discover • will use Google to find and discover • will use del.icio.us to find and discover • Then they use the library catalog/website to find out if the library has it (link resolver buttons help even if it’s in five silos)

  22. Services • Local index of collections: MARC, OAI, etc. • Simple, elegant interfaces • Customizable • Mashups • Tuned relevancy ranking • Facets • Citation management tools • Links to value-adds like ILL, recommenders

  23. Discovery can go further • Why only local collections? • What about article content? • What if users want to discover items outside their discipline-specific databases? • Can’t we do better than federated search?

  24. Web-Scale Discovery

  25. “Web-scale discovery” Web-scale dis⋅cov⋅er [web skeyl di-skuhv-er] - adjective-noun pairing Harvesting, ingesting, and normalizing an extensive amount of container and subcontainer metadata in a scalable infrastructure that many institutions can share rather than traditional “hosted services”.

  26. aka “Unified Discovery Service” • Unifies local and subscription content • digital or physical books, e-journal articles, databases, etc. • library catalog, publishers, open access, etc. • Web-scale repository • Highly tuned relevancy • Pluggable API for “shopping mall” access

  27. Summon architecture

  28. Summon so far at WMU • March 2009: became beta partner • April 2009: delivered catalog records • May 2009: had Summon instance • June 2009: used internally, refined e holdings • Summer 2009: kept improving • September 2009: linked to it on our site • Fall 2009: user testing

  29. Summon so far at WMU

  30. Summon so far at WMU • Even bigger adjustment for library staff • Has reminded us of record problems • Shows known OpenURL target problems • How to present it along with VuFind? • the NGC is a subset of the W-sD • we’ve already tweaked the NGC pretty far • W-sD’s interface is similar to NGC • how to incorporate link resolver data?

  31. Option 1 • Keep the NGC for containers and W-sD for everything else • use limits in query string to exclude containers • means two separate, different interfaces to choose from

  32. Option 1

  33. Option 1

  34. Option 2 • Use your NGC’s interface to query the W-sD’s index • radio button for containers vs. non? • unified results, or tabs? • limits you to NGC’s interface? Toggle? • opportunity to tweak the NGC closer to W-sD • subjects and other facets likely vary between them

  35. Option 2

  36. Option 3 • Use only the W-sD and scrap the NGC • impractical after heavy NGC investment and adjustment

  37. Option 4 • Use the APIs you have for the NGC, W-sD, and link resolver and build your own mashup of all of them • requires a heavy investment of resources • involves merging functional requirements for three separate systems into one • requires very careful project management, keeping scope creep, long tail issues to a minimum

  38. Thank you • questions? • andrew.nagy@serialssolutions.com • scott.garrison@wmich.edu

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