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Digital repositories: All hype and no substance? Marinus Swanepoel
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1. Introduction 1.1 Background 1.2 Research Question 1.3 Methodology 1.4 Delimitations 2. Institutional Digital Repositories 2.1 Definitions 2.3 Characteristics 2.4 Typology
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3. Technology models 3.1 Product Life Cycle 3.2 Diffusion of Innovation Theory 3.3 Gartner Hype Cycle 4. The Models Applied 4.1 Product Life Cycle 4.2 Diffusion of Innovation Theory 4.3 Gartner Hype Cycle 5. Conclusions
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1. Introduction
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Meaningful indicator of quality and quantity if intellectual output
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http://www.kdstudy.ca/chapter2.htm To what extent are IR`s accepted as a method for communicating scientific and scholarly information, or are they just hype?
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How mature is the technology?
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How well is it used by faculty and researchers
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Delimitations
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http://escholarship.cdlib.org/rtennant/presentations/2000ala/acrl/sld001.htm
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2. Institutional Digital Repositories
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http://www.pbase.com/jwalk/image/23678943
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http://www.lib.usm.edu/~spcol/crda/guidelines/metadata.jpg IR software manages metadata and content
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Open access to metadata for harvesting
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3. Technology models
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Product Life Cycle/Sigmoid Curve Production Time Start-up Growth Maturity Obsolescence
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Diffusion of Innovation Theory: Adopter Categories
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Mapping Adopter Determinants to Adopter Categories Innovators Early Adopters Early Majority Late Majority Laggards
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Productivity
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Gartner Hype Cycle Peak of Inflated Expectations Slope of Enlightenment Plateau of Productivity Trough of Disallusionment Technology Trigger Visibility Time
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http://lifewithalacrity.blogs.com/photos/uncategorized/evolution.jpg This framework plots the evolution of a technology
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4. The Models Applied
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IR's estimated position on the Product Life Cycle Start-up Growth Maturity Obsolescence Production Time
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IR's have moved into the early majority 2.5%13.5%34% 16% Innovators Early Adopters Early Majority Late Majority Laggards
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Hype Cycle for Higher Education Technology
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Growth in number of records and number of institutional archives
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5. Conclusions
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Thank you
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