Implementing Library1Search (WebFeat) at the Goddard Library September 27, 2006 Kathleen McGlaughlin...

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Implementing Library1Search (WebFeat) at the Goddard Library September 27, 2006 Kathleen McGlaughlin NASA Goddard Space Flight Center Library Zimmerman Associates, Inc. N A S A G o d d a r d S p a c e F l i g h t C e n t e r L i b r a r y

Transcript of Implementing Library1Search (WebFeat) at the Goddard Library September 27, 2006 Kathleen McGlaughlin...

Page 1: Implementing Library1Search (WebFeat) at the Goddard Library September 27, 2006 Kathleen McGlaughlin NASA Goddard Space Flight Center Library Zimmerman.

Implementing Library1Search (WebFeat)

at the Goddard Library

September 27, 2006

Kathleen McGlaughlinNASA Goddard Space Flight Center Library

Zimmerman Associates, Inc.

N A S A G o d d a r d S p a c e F l i g h t C e n t e r L i b r a r y

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The Goddard Library Environment

Established 1959 in Greenbelt, MD

Largest research staff of all NASA Centers, with 6,000 scientists and engineers

Mission: Expand knowledge of the Earth and its environment, the solar system and the universe through observations from space

Includes such projects as Hubble Space Telescope and Landsat

Our patrons are a highly educated population of researchers

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Background: Implemented WebFeat in 2004

Why we wanted federated search Too many different places to start searching: simplify the process

for patrons

Selected WebFeat: Minimal set-up by Library staff Included ongoing maintenance by WebFeat Integration with the Library’s existing Web interface Ability to include locally developed, proprietary resources,

and non Z39.50 resources

Will allow patrons to search: Subscribed databases (i.e. Web of Science, INSPEC) Freely available databases (i.e. ARIBIB, EULER) Library catalog holdings (SirsiDynix Catalog) Proprietary databases (i.e. the Goddard Project Information) TOTAL OF 50 RESOURCES SIMULTANEOUSLY

Branded the product “Library1Search”

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Implementation: The Good, the Bad…

What Worked Provided our patrons with single search box they were looking for Gave patrons best single location to begin their search in our site Reduced steps for obtaining multiple results from multiple resources Using one interface is much easier for patrons than learning and using

multiple Patrons often found results in resources they would not have tried

otherwise (resource discovery)

What Didn’t Work Took a long time to get each translator working the way we wanted Even after fine-tuning, the search did not produce truly granular results Still presented patrons with an overwhelming amount of information from

which to choose

What We Did to Fix It Worked with WebFeat to continually monitor and improve translators

They worked diligently with us to make requested improvements Marketed Library1Search to our patrons; educated them in the process Achieved some success at improving the results

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… and the Ugly

Limitations of Federated Search User expectations are a Google interface - federated search

results are more complex than Google results Too many results – often results not ranked well for relevancy No search granularity

Limitations of WebFeat Implementation Results populated in the order of the native database (confusing

to patrons) Returning results often very slow (patrons may move on to other

search apps) Subject to the speed of the native databases Sometimes gets hung up or times out entirely

Navigation of the results page confusing WebFeat only replicates what native database produces

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Fast Forward - August 2006

In the time since we originally implemented, new products became available

Contract came up for renewal – WebFeat is expensive New kid in town – Serials Solutions’ Central Search

Investigated Serials Solutions Central Search Cost was approximately 1/3 of current WebFeat implementation Exciting new features

Clustered results using Vivisimo New format for presenting combined search results

Set up Pilot for Central Search Compared WebFeat and Central Search side-by-side

Extensive product comparison on cost (particularly hidden costs), technical support, implementation, and special features

Thorough staff testing Tested on functionality, navigation, ease of use, and accuracy of the products, both

compared to one another, as well as the native databases to which they connect.

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Results of Comparison: Central Search

Testers liked Central Search interface Most found it easier to use than WebFeat

Liked the POTENTIAL of new features (i.e. clustered results) but unable to see in pilot

Pilot was not a full implementation Clustered results not available until September 29

Just released an XML API - allows libraries with experienced software developers to maintain full control over the Library1Search customization without requiring the involvement of Central Search technical support

All translators would have to be tested and refined – they did not work the same as WebFeat translators

Additional charge for unique resource translators (i.e. Goddard Project Information)

No statistics module available as of yet

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Central Search Pilot at a Glance

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Results of Comparison: WebFeat

WebFeat released new comparably priced product – “WebFeat Express” – with same functionality underneath

WebFeat Express approximately same price as Central Search Product would use existing translators

Very minimal implementation to migrate to the “Express” version

Control of appearance switched to Library staff Choice of 3 interfaces

No extra cost associated with building new translators - EVER

System already meets our current needs WebFeat offers optional statistics module

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WebFeat at a Glance

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Results of Comparison: Conclusion

Results from the testing session: Both products performed well Either product would ultimately work well for the Goddard Library

Central Search: new features (i.e. Vivisimo clustered results) Most of these features not yet released - unproven technologies Unsure about selecting federated search product still in a “beta” stage of development

Potential hidden cost WebFeat Express - no charge for building additional or new unique translators Central Search - charge up to $5,000 for each one. Could potentially make Central Search significantly more expensive than WebFeat Express

in the long run.

WebFeat already implemented for the Library Existing translators would not require extensive testing and troubleshooting. Migrating to WebFeat Express comparable to changing the top layer templates, leaving

underlying technology in place.

DECISION: stay with WebFeat, migrating to their WebFeat Express product for the next year.

Track Central Search during the next year as a possible replacement for the subsequent year, as Central Search’s new features could potentially establish it as the best product for us at that point.

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Key Ingredients for a Successful Implementation

Staff Systems Librarian: interface with the vendor Vendor: work to develop good working relationship Reference staff (5 in our case): test and refine the translators Customers: feedback from the customers – does this meet their

needs? Knowledge

Understanding of the benefits and the limitations of federated searching products

In-depth understanding of the resources included in federated search

Technology Web interface for testing

Planning Complete needs assessment for the environment, and selection of

appropriate technology to meet those needs Thorough understanding of the selected product

prior to purchase and implementation

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What You Should Ask the Vendors

Develop a “checklist” of questions We modeled ours on one created at Brigham Young University in

2003 Modified it for our environment

During recent evaluation, we added more items to the list: Do all resources (we want to include) have existing

“translators” or will they need to be built? Is there a charge for building custom translators? Is there an additional charge for maintaining custom

translators? How long does it take to update or fix the translators? Are statistics included? How long will it take to get a full implementation up and

running?

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Future of Federated Search at the Goddard Library

Continue using commercial product (WebFeat or Central Search) to search outside resources

In 2006, developed in-house federated search for local resources (IMAGES Database, Goddard Project Information Database, etc.)

Used WebFeat as the model Behind the firewall Searches digital collections which have a common

metadata structure based on the Goddard Core (a modified Dublin Core)

Expand in-house federated search to be Library1Search for all local Goddard Library resources

Include commercial federated search as one of the “resources” searched in our own local federated search

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Questions?

Kathleen McGlaughlinNASA Goddard Space Flight Center Library

(Zimmerman Associates, Inc.)

[email protected]

301-286-2545