Introduction. This study was undertaken to develop an information requirement framework for scientists who use biological samples and related data in their research.
Method. A self-reporting questionnaire completed by 137 respondents was used to collect data regarding demographics, bio-sample management, bio-sample use and requirements, data requirements, and work and research-related roles and activities.
Analysis. Descriptive and TwoStep Cluster analyses were used to analyse the survey data necessary for developing a framework of information requirements.
Results. Two groups of biomedical scientists (clinical group and basic scientist group) were formed by their distinct characteristics. A conceptual framework of information requirements for bio-sample researchers was formed. The study determined the following as core components: work roles, tasks, characteristics of data and bio-sample needs, factors affecting information seeking, and outcomes.
Conclusions. This study will enable the system designer to understand bio-sample users by means of their information requirements resulted in the proposed framework. Future empirical studies should assess potential users, types of information required depending on their work-related roles, factors affecting information seeking, and the evaluation of information seeking effectiveness.
This project was supported in part by a faculty research grant by college of communication and information studies, University of Kentucky. In addition, this publication was made possibly by Grant Number P20RR-16481 from the National Centre for Research Resources, a component of the National Institutes of Health.
Kim, Sujin, "A Conceptual Framework of Information Requirements for Scientists Using Human Biological Samples" (2010). Information Science Faculty Publications. 69.