Common metrics for web-based mapping applications in academic libraries

Author:

Kong Ningning,Zhang Tao,Stonebraker Ilana

Abstract

Purpose – The purpose of this paper is to establish common metrics for web-based mapping applications to facilitate user decision making and enhance information providers’ product design. Design/methodology/approach – The metrics were developed from a combination of literature review and case studies. From the literature review, the authors identified three major areas of assessment for web-based mapping applications. The authors then studied six online applications to refine the metrics. Findings – The results suggest that web-based mapping applications can be evaluated from three major aspects: data content, geographic information systems (GIS) functionality and usability. The authors have developed detailed measures for each factor through the evaluation of the six applications. Practical implications – The metrics developed from this study could be used as a standard for online spatial information users to choose appropriate products according to their needs. It can also provide valuable information for data providers to improve their products. Originality/value – To the best of the authors’ knowledge, this is the first study that has systematically examined web-based mapping applications in academic libraries. Results from this study could be a valuable tool for librarians as well as general information users without background of GIS and usability to evaluate online mapping resources.

Publisher

Emerald

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

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