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Libraries in the Google age? How to add value?. Birte Christensen-Dalsgaard Deputy Director General The Royal Library Denmark. Outline of talk. Setting the scene Need to understand how to add value New business models Knowledge creation and scholarly communication

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libraries in the google age how to add value

Libraries in the Google age?How to add value?

Birte Christensen-Dalsgaard

Deputy Director General

The Royal Library

Denmark

outline of talk
Outline of talk
  • Setting the scene
    • Need to understand how to add value
    • New business models
  • Knowledge creation and scholarly communication
  • Towards sustainable services
    • From objects to processes
    • Services targeted to specific communities
    • Semantic data
  • Summary
slide5

Create new, relevant services

  • Have a vision
  • Understand the users
  • Understand the market
  • Understand the technological possibilities
who are the users
Who are the users?

Drive-in users

LibraryEnthusiasts

Working Bee

From: Users expectation to the hybrid library

from collection knowledge to service provision

Web of Science

LCSH

EBSCO

  • Suggest,
  • Advise,
  • Supporting information,
  • Ubiquitous information
  • Persuasive design,
  • User involvement…….

OCLC

Catalogue

Digital collections

From collection knowledge to service provision

The customer

Project,

Research topic,

Problem

Librarian

how to add value
How to add value??

Robin Murray, 2006 (Ariadne vol 48)

relevance and quality
Relevance and quality?
  • Relevance
    • A library focussed approach
        • How well does the record match the search,
        • how good is the quality of the material represented by the record,
        • how well does the material match the needs of the user?
    • A community focussed approach
        • What do others use, circulation
        • User recommendations
    • Individual
        • E.g. importance of publication date
  • Quality
    • Some source are better than others?

Big challenge

the era of mobilde devices
The era of mobilde devices
  • Linking device:
    • Mobile device
    • Screen
  • Linking metaphor
    • Trace in physical space…
  • Furniture (e.g. coffee table)
  • Apps

NCSU

Crated by Adreas Rauber,

Vienna Technological University

from finding to understanding
From finding to understanding

Marchionini, G. (2006). Exploratory search: From finding to understanding. Communications of the ACM, 49(4): 41-46.

understand use
Understand/Use

John Wilbanks,

Science Commons –

talk at Tilburg 2007

knowledge creation use scenarios
Knowledge Creation – Use scenarios
  • More information, more researchers – more knowledge?
  • Mark-up and extraction of information
    • Crystallography
  • Aggregate and work on data
    • Virtual Observatory
    • Clarin
    • Earth Observation
machine readable license
Machine readable license

<a rel="license" href="http://creativecommons.org/licenses/by/2.5/dk/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by/2.5/dk/88x31.png" /></a><br />Dette v&#230;rk erlicenseret under en <a rel="license" href="http://creativecommons.org/licenses/by/2.5/dk/">Creative Commons Navngivelse 2.5 DanmarkLicens</a>.

WEB 3.0: Maskinlæsbar og brugbar information

Eksempel: Creative Commons

from portals to intelligent object
From portals to intelligent object
  • What will we get:
    • Intelligent libraries og
    • Intelligent objects (Sigge Lundberg)
  • Rather than having intelligent systems surrounding the objects we will move towards objects carrying enough information so that they can present temselves
    • Require structured, mashinereadable information
    • Require context information
knowledge creation and the library

Researcher

Publisher

Library

Reseacher

Knowledge Creation – and the library
  • Used to be core
    • If publishers behaved intelligently – library bypass
  • Need to understand the knowledge creation process to identify new roles
    • trust
    • structure
output process
Output - Process
  • From object oriented to process focus
data from bits to interpretation
Data – From Bits to Interpretation

Level 2 GOME Satellite instrument data

From CASPAR

workflow provenance
Workflow Provenance
  • Generation of relevant ontology
  • Automatic generation of relevant descriptive information
  • Curation

http://sites.computer.org/debull/a07dec/susan.pdf

knowledge network economy creativity and sustainability
Knowledge Network Economy Creativity and sustainability
  • Support Creativity
    • Re-use
    • The three Os:
      • Open data
      • Open API
      • Open source
  • Customer Engagement
    • Observant, Involved, Loyal, Ambassador
  • Capture behaviour
    • user involvement,
    • deep log analysis

Structure

Self organized

slide27

Mobile Apps: Models, Money and Loyalty

Posted by Peter Farago on Fri, Sep 25, 2009

http://blog.flurry.com/bid/26376/Mobile-Apps-Models-Money-and-Loyalty

Business models

involve users

Standards for

    • Metadata
    • Formats
    • Facilities
    • Tools
    • Etc.

Broker

Involve users

Users

Mash-up

Remix

Share

Contribute

Archives and Collections

slide30

Title: Toward Academic Library 2.0: Development and Application of a Library 2.0 MethodologyAuthors: Michael C. Habib

summary
Summary
  • Library services must add value to the research process or the experience
  • Library services needs to be integrated into the students and researchers workflow
  • Scare: used to be resources but is now attention
  • Objects are results of a process and their representation can be created (semi)automatically - VRE
  • Objects carry intelligence / structured information in themselves
  • Need to address business models
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