andrew nagy, serials solutions scott garrison, western michigan university

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Andrew Nagy, Serials Solutions Scott Garrison, Western Michigan University

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Andrew Nagy, Serials SolutionsScott Garrison, Western Michigan University

Master’s level private Catholic university

Undergrad enrollment = ~6,000One main library

~850,000 bibliographic records

~300 subscription databases

Voyager, SFX, MetaLib

Carnegie research universityUndergrad 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

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

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 _______”

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

Vendor acquisitions, consolidation, catch-up

Open source options are emerging

Some products are still years away

All of the above leads to great FUD

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.

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

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

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

Open source VuFind Blacklight eXtensible Catalog built on Lucene/Solr/Drupal

Commercial AquaBrowser WorldCat Local Primo Encore Endeca

Mellon Award for Technology Collaboration winner 2008!

ILS-agnostic, runs alongside OPACWorks for libraries of all sizesUses Apache Solr and AJAXFeature rich

text messaging, Wikipedia author biographies, tagging and commenting, public lists

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

Has helped us around limitations in Voyager

Recall => huge adjustment for librarians Has prompted us to reconsider how we

workThemes from usability testing

fewer failed searches user less likely to give up searching users curious about things like tagging

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)

Local index of collections: MARC, OAI, etc.Simple, elegant interfacesCustomizableMashupsTuned relevancy rankingFacetsCitation management toolsLinks to value-adds like ILL,

recommenders

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?

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”.

Unifies local and subscription content digital or physical books, e-journal articles,

databases, etc. library catalog, publishers, open access, etc.

Web-scale repositoryHighly tuned relevancyPluggable API for “shopping mall”

access

March 2009: became beta partnerApril 2009: delivered catalog recordsMay 2009: had Summon instance June 2009: used internally, refined e

holdingsSummer 2009: kept improvingSeptember 2009: linked to it on our siteFall 2009: user testing

Even bigger adjustment for library staffHas reminded us of record problemsShows known OpenURL target problemsHow 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?

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

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

Use only the W-sD and scrap the NGC impractical after heavy NGC investment

and adjustment

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