Digital repositories: All hype and no substance? Marinus Swanepoel

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

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

1. Introduction

Meaningful indicator of quality and quantity if intellectual output

To what extent are IR`s accepted as a method for communicating scientific and scholarly information, or are they just hype?

How mature is the technology?

How well is it used by faculty and researchers

Delimitations

2. Institutional Digital Repositories

IR software manages metadata and content

Open access to metadata for harvesting

3. Technology models

Product Life Cycle/Sigmoid Curve Production Time Start-up Growth Maturity Obsolescence

Diffusion of Innovation Theory: Adopter Categories

Mapping Adopter Determinants to Adopter Categories Innovators Early Adopters Early Majority Late Majority Laggards

Productivity

Gartner Hype Cycle Peak of Inflated Expectations Slope of Enlightenment Plateau of Productivity Trough of Disallusionment Technology Trigger Visibility Time

This framework plots the evolution of a technology

4. The Models Applied

IR's estimated position on the Product Life Cycle Start-up Growth Maturity Obsolescence Production Time

IR's have moved into the early majority 2.5%13.5%34% 16% Innovators Early Adopters Early Majority Late Majority Laggards

Hype Cycle for Higher Education Technology

Growth in number of records and number of institutional archives

5. Conclusions

Thank you