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Emerging Cybraries De Lange Conference Rice University 070305 © Michael A. Keller 2007.

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Presentation on theme: "Emerging Cybraries De Lange Conference Rice University 070305 © Michael A. Keller 2007."— Presentation transcript:

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2 Emerging Cybraries De Lange Conference Rice University 070305 © Michael A. Keller 2007

3 It isn’t just this anymore…

4 An expanding spectrum…

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6 Webs of Information Objects…

7 “The Library of the Mind” That which an individual scholar, and by implication a team of scholars, controls by memory (or some aide memoire) of source materials relevant to his or her or their topic of research. There is, of course, some correlation between the Library of the Mind and the contents of a library or many libraries. Duckles, Vincent. “The Library of the Mind: Observations on the Relationship between Musical Scholarship and Bibliography,” in Current Thought in Musicology, ed. John W. Grubbs (Austin: University of Texas Press, 1976).

8 An Information Object

9 Feigenbaum’s Library of the Future “Imagine the Library as an active intelligent knowledge server…a network of systems in which people and machines collaborate.” Feigenbaum, Edward, “Age of Intelligent Machines: from file servers to knowledge servers” 1990

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13 To note later AA ccuracy and precision count MM eta Data counts

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15 AA ccuracy and precision count MM eta Data counts GG UI navigation may help

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18 AA ccuracy and precision count MM eta Data counts GG UI navigation may help GG reat engineering ROCKS!

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20 AA ccuracy and precision count MM eta Data counts GG UI navigation may help GG reat engineering ROCKS! SS earching across silos is necessary

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24 AA ccuracy and precision count MM eta Data counts GG UI navigation may help GG reat engineering ROCKS! SS earching across silos is necessary SS earching deeply regardless of genre counts

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26 AA ccuracy and precision count MM eta Data counts GG UI navigation may help GG reat engineering ROCKS! SS earching across silos is necessary SS earching deeply regardless of genre counts NN arrowing a search iteratively is important

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30 AA ccuracy and precision count MM eta Data counts GG UI navigation may help GG reat engineering ROCKS! SS earching across silos is necessary SS earching deeply regardless of genre counts NN arrowing a search iteratively is important II dentifying genres in results is helpful

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32 AA ccuracy and precision count MM eta Data counts GG UI navigation may help GG reat engineering ROCKS! SS earching across silos is necessary SS earching deeply regardless of genre counts NN arrowing a search iteratively is important II dentifying genres in results is helpful BB roadening a search is good too

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34 AA ccuracy and precision count MM eta Data counts GG UI navigation may help GG reat engineering ROCKS! SS earching across silos is necessary SS earching deeply regardless of genre counts NN arrowing a search iteratively is important II dentifying genres in results is helpful BB roadening a search is good too TT ransparency of the relevance engine is important

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36 AA ccuracy and precision count MM eta Data counts GG UI navigation may help GG reat engineering ROCKS! SS earching across silos is necessary SS earching deeply regardless of genre counts NN arrowing a search iteratively is important II dentifying genres in results is helpful BB roadening a search is good too TT ransparency of the relevance engine is important PP roviding opportunities for deeper examination of a source counts

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38 AA ccuracy and precision count MM eta Data counts GG UI navigation may help GG reat engineering ROCKS! SS earching across silos is necessary SS earching deeply regardless of genre counts NN arrowing a search iteratively is important II dentifying genres in results is helpful BB roadening a search is good too TT ransparency of the relevance engine is important PP roviding opportunities for deeper examination of a source counts PP roviding various formats for reading is good

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40 To note later -2-  The citation map makes relationships clear  Showing relative frequency of citing helps HH ot links beneath the citation blobs saves time

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42  The citation map makes relationships clear  Showing relatively frequency of citing helps HH ot links beneath the citations saves time TT axonomic terms allow precise identification of subjects within an information object

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45  The citation map makes relationships clear  Showing relatively frequency of citing helps HH ot links beneath the citations saves time TT axonomic terms allow precise identification of subjects within an information object SS upplying copious data about an information object speeds research

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50  The citation map makes relationships clear  Showing relatively frequency of citing helps HH ot links beneath the citations saves time TT axonomic terms allow precise identification of subjects within an information object SS upplying copious data about an information object speeds research TT axonomic terms need to be precise

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53  The citation map makes relationships clear  Showing relatively frequency of citing helps HH ot links beneath the citations saves time TT axonomic terms allow precise identification of subjects within an information object SS upplying copious data about an information object speeds research TT axonomic terms need to be precise SS earching in a document & providing the context of the “hits” helps readers

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55 To note later -3-  Subject portals can be helpful if current & deep

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57 SS ubject portals can be helpful if current & deep PP ortal information & services must be current, relevant

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59 SS ubject portals can be helpful if current & deep PP ortal information & services must be current, relevant GG ood portals are not inexpensive, but save time & enhance communities of shared interests

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61 SS ubject portals can be helpful if current & deep PP ortal information & services must be current, relevant GG ood portals are not inexpensive, but save time & enhance communities of shared interests GG reat portals are closely responsive to their readers’ needs

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65 SS ubject portals can be helpful if current & deep PP ortal information & services must be current, relevant GG ood portals are not inexpensive, but save time & enhance communities of shared interests GG reat portals are closely responsive to their readers’ needs GG reat portals provide real depth of information and services

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67 To note later -4- SS ome good portals are merely guides to research and the literature of a discipline or topic

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71 SS ome good portals are merely guides to research and the literature of a discipline or topic BB etter portals have reciprocal links from discovery devices (like OPACs)

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73 SS ome good portals are merely guides to research and the literature of a discipline or topic BB etter portals have reciprocal links from discovery devices (like OPACs) AA lerting & recommendation services save readers time & keep them current AA lerting & recommendation services are best invoked by readers

74 We need an effective Federated Search Engine that covers our local OPACs, the Public Web, and the Access Controlled, Deep Web! OR We need a fully realized Semantic Web, one populated with richly documented digital objects.

75 Universal Librarian/Cybrarian Functions ( regardless of format or genre) Selection & Acquisition Providing Intellectual Access Providing full access, when legal & possible Guiding, Teaching, Interpreting, Answering Assisting with Analysis & Presentation Preserving physical & digital information objects Evolving as “the Web of actionable information expands” & Information services are created

76 New Roles for Cybrarians As subject specialists & reference cybrarians –“diagnose” faculty interests algorithmically & by direct contact –Create subject/topical portals; push information from them to clients –Become “channel editors” for researchers –Instruct students in information heuristic –Help faculty manage their intellectual property –Select & care for collections of digital objects from the Web, from publications, from labs, from personal computers As intellectual access specialists –Apply taxonomic & semantic indexing engines –Assure (algorithmic) linking of information objects –Create meta-data when needed

77 Library Facilities Becoming “bookless”? Must provide intellectual support, mediation, instruction Must provide comfortable & varied study/research environments Must provide for collaborative work, over the net & in the Library Must be identified as the home of cybrarians Must be flexible & interact with functions in “genius bars”, “research gyms” & “exploratoria” as well as labs, offices & classrooms.

78 http://library.stanford.edu/about_sulair/SEQ2_library_vision.html

79 Maybe a Cybrary will operate like thisthis

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81 Thanks for your attention Michael A. Keller Stanford University Michael.Keller@Stanford.edu

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