Building the Next Successful Library Discovery Tool
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1 University of North Florida UNF Digital Commons Library Faculty Presentations & Publications Thomas G. Carpenter Library Building the Next Successful Library Discovery Tool Jeremy Hall University of North Florida, Michael Kucsak University of North Florida, Follow this and additional works at: Part of the Library and Information Science Commons Recommended Citation Hall, Jeremy and Kucsak, Michael, "Building the Next Successful Library Discovery Tool" (2014). Library Faculty Presentations & Publications This Presentation is brought to you for free and open access by the Thomas G. Carpenter Library at UNF Digital Commons. It has been accepted for inclusion in Library Faculty Presentations & Publications by an authorized administrator of UNF Digital Commons. For more information, please contact Digital Projects All Rights Reserved
2 Building the Next Successful Library Discovery Tool
3 Expectations Traditional View Focus on sources A place to put everything Traditional search methodology Progressive View Focus on Results Increased downloads More diverse results Reduced ILL Student View Focus on simplicity It s about time
4 Implementation Purpose of a Discovery Tool Find Stuff Coverage is critical Get Stuff Content Delivery is critical Everything else is secondary!
5
6 Assessment: Successes Comparing Full Text Downloads Searches don t matter Fewer Searches, more documents Source Doesn t Matter (to students)
7 Full Text Downloads +138% increase in full text downloads Source Types 17 Unique Sources 6 Unique Databases ILL Articles ILL Print % reduction in article lending
8 Assessment: Failures Faculty Buy-in Too many results Too difficult to find specific titles Library Buy-in Too difficult to find books Support Issues (100+ tickets/per year
9 EDS Entrances How are users getting here? 70% 53% 25% of EDS traffic is direct 35% 18% EDS traffic is x1.5 our Homepage traffic 0% Home Page Direct All Other Sources
10 Future Directions Client vs Patron (librarians vs patrons We are middlemen and we must add value to justify our existence. That does not mean we make it work the way WE want it to work. Google vs Amazon Who do we emulate?
11 Client vs Patron Inflating the physical collection Promoting eresources to justify expense Infusing the system with irrelevant metadata Providing complex paths in the name of choice Creating silos
12 Google vs Amazon Google Product is the Ad Amazon Product is the search result
13 The Future of Discovery Algorithms Natural Language Systems Integration More/Better Metadata
14 Algorithms Who uses Google Advanced Search?
15 Natural Language Google vs Amazon vs the Library
16 Systems Integration Authentication Full featured APIs Social media LMS Capture patron data
17 Metadata Unbalanced playing field Failure to deliver content
18 The Future: Peeking around Socialization (identifying the experts) Recommendations Personalized results Identifying niche content (focus on what makes us special) The end of the individual the corner
19 Recommendations What did other users choose? Selections by major Selections by course Local experts Additional material Methods of acquisition Impact factors
20 Personalization of Results What do we know about the user?
21 Identifying Niche What makes your library unique? Content Technology Instruction Space
22 Librarians Value Add? 1. Voice of the Customer 1. Foster technological development (making web scale better) 2. Outreach - getting the tools to the patron the way they want it 2. Quality integration of content
23 Questions?
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