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Shaping Library Services

Published on Nov 18, 2015

Shaping library services using qualitative user behaviour search data from discovery systems

PRESENTATION OUTLINE

Shaping Library Services

with User-Behaviour Data from Discovery Services
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Background

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Our Institution

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Moving to discovery

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Siloed approach not working

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Began noticing

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Different tool = Different behaviour

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Vendor statistics = Uniform information

Informing

  • COST PER USE (mainly)
  • Full-text downloads
  • Searches & sessions
  • Turnaways
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BUT

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How do we know...

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the impact of user behaviour on usage?

ENTER

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Google Analytics

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Setup

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System Dependant

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Three Columns

  • Account
  • Property
  • View

Account

  • FILTERS: Lowercase [to avoid counting boolean terms]
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Property

  • EDS SEARCH (Unique tracking ID)
  • Default URL: ebscohost.com
  • Industry category: Ref?
  • Enable Demographics
  • Enhanced Link attribution

View

  • All Website data
  • Exclude URL Query Parameters: sid, bdata
  • Site Search Tracking: ON
  • Query parameter: bquery
  • Filters: Lowercase

Findings

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Location

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Device

Traffic Source

Examining Searches

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Top Searches

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affected by...

assignments

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time of year/semester

User Behaviour

Result Page Views per Search

Time on page
Time after search
Bounce Rate

Advanced searches
=
> page views &

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Limiters not well used

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Don't develop KEYWORDS

Natural language searching

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Lack of phrase searching

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Do NOT use Boolean Logic

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Search database names

Search citation styles

But still finding what they need?

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Satisficing?

Implications

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Data shows habits of students are changing

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Library services must adapt

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Collection Development

Interface/System Design

Faculty collaboration

Staff

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Information Literacy

Building upon existing knowledge

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