Picture of a black hole

Strathclyde Open Access research that creates ripples...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of research papers by University of Strathclyde researchers, including by Strathclyde physicists involved in observing gravitational waves and black hole mergers as part of the Laser Interferometer Gravitational-Wave Observatory (LIGO) - but also other internationally significant research from the Department of Physics. Discover why Strathclyde's physics research is making ripples...

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Design and evaluation of a task-based digital library for the academic community

Chowdhury, Gobinda and Meyyappan, N. and Foo, Schubert (2004) Design and evaluation of a task-based digital library for the academic community. Journal of Documentation, 60 (4). pp. 449-475. ISSN 0022-0418

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

The paper discusses the design, development and evaluation of a task-based digital library, the Digital Work Environment (DWE), for the academic community of higher education institutions (HEI) with Nanyang Technological University, Singapore, as a test case. Three different information organisation approaches (alphabetical, subject category and task-based) were used to organise the wide range of heterogeneous information resources that were interfaced to DWE. A user evaluation study using a series of task scenarios was carried out to gauge the effectiveness and usefulness of DWE and these information organisation approaches. The time taken by respondents to identify and access the relevant information resources for individual tasks was also measured. The findings show that the task-based approach took the least time in identifying information resources. Regression analysis of information resource location time with gender, age, computer experience and digital resource experience of the participants are also reported.