Title
Better bioinformatics through usability analysis.
Abstract
Improving the usability of bioinformatics resources enables researchers to find, interact with, share, compare and manipulate important information more effectively and efficiently. It thus enables researchers to gain improved insights into biological processes with the potential, ultimately, of yielding new scientific results. Usability 'barriers' can pose significant obstacles to a satisfactory user experience and force researchers to spend unnecessary time and effort to complete their tasks. The number of online biological databases available is growing and there is an expanding community of diverse users. In this context there is an increasing need to ensure the highest standards of usability.Using 'state-of-the-art' usability evaluation methods, we have identified and characterized a sample of usability issues potentially relevant to web bioinformatics resources, in general. These specifically concern the design of the navigation and search mechanisms available to the user. The usability issues we have discovered in our substantial case studies are undermining the ability of users to find the information they need in their daily research activities. In addition to characterizing these issues, specific recommendations for improvements are proposed leveraging proven practices from web and usability engineering. The methods and approach we exemplify can be readily adopted by the developers of bioinformatics resources.
Year
DOI
Venue
2009
10.1093/bioinformatics/btn633
Bioinformatics
Keywords
Field
DocType
web bioinformatics resource,usability evaluation method,important information,usability engineering,better bioinformatics,bioinformatics online,diverse user,biological process,usability issue,usability analysis,bioinformatics resource,supplementary information,user experience,biological database
Pluralistic walkthrough,Web usability,Data mining,User experience design,World Wide Web,Usability engineering,Computer science,Heuristic evaluation,Usability,Usability goals,Cognitive walkthrough,Bioinformatics
Journal
Volume
Issue
ISSN
25
3
1367-4811
Citations 
PageRank 
References 
32
1.77
11
Authors
4
Name
Order
Citations
PageRank
Davide Bolchini148666.05
Anthony Finkelstein2321.77
Vito Perrone3405.58
Sylvia Nagl4322.11