User Behaviour in Resource Discovery: Final Report (original) (raw)
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Proceedings of the 24th …, 2010
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2007
developed to comprise two dimensions: (A) IS behaviors pertaining to long-term research needs or corresponding to project lifecycle; (B) IICTs providing information or supporting communication. The IS dimension adopts Ellis's behavioral model with revision; the IICT dimension includes commonly used tools and resources such as the Web, email, digital library, online library catalog, e-journal, etc. This paper reports on part of the preliminary results of three datasets from two disciplines (computer science and engineering) in the U.S. (28 participants), Greece (19 participants), and China (35 participants). Converging and integrating information resources have caused terminological confusions. Overlapping in access to information resources also blurred the boundaries between different types of information systems. The use and non-use of IICTs depend on many different factors. Our results also show that the major IS activities proposed by Ellis continue to play important roles in research, but these activities are now handled in both traditional and diverse new ways in the Internet environment. Managing information is a big challenge and effective tools are needed. Libraries and librarians are less recognized as information is becoming more accessible via the Internet. There is a need to shift from traditional service and user instruction roles to new roles.
Researchers' interaction with online information resources: An informational approach
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Objective The purpose of this study is to determine the interaction of researchers with online information resources and provide solutions to increase the quality of information retrieval. Methodology In terms of purpose, the present study is a fundamental research that falls into the category of content analysis research and is based on the underlying theory of Strauss and Corbin (1998) and has been done using Max QDA software. This research is one of the library researches that has used field techniques in terms of data collection method.15 researchers who have the most scientific products and naturally have more interaction with information and search for resources, were selected by judgmental sampling and They have been interviewed. Findings In this study, which was interviewed with 15 researchers, it was found that researchers mostly refer to Google search engine and databases of Science Direct, Web of Science and Scopus. They also use advanced search and simple search to find ...
Information Seeking Behaviour of Mathematicians: Scientists and Students
Information Research an International Electronic Journal, 2014
Introduction. The paper presents original research designed to explore and compare selected aspects of the information seeking behaviour of mathematicians (scientists and students) on the Internet. Method. The data were gathered through a questionnaire distributed at the end of 2011 and in January 2012. Twenty-nine professional mathematicians and 153 students of mathematics from the Institute of Mathematics of the Jagiellonian University in Kraków, Poland, were surveyed. Analysis. The gathered data were analysed in a quantitative manner and then interpreted comparatively to find similarities and differences between the behaviour of professional mathematicians and students. Results. Students, as opposed to scientists, often declared searching for reference works and multimedia objects and comparatively rarely for journal papers and information about sources unavailable on the Web. They more willingly use social networking sites while scientists more often search discipline-oriented portals or library Websites. Scientists use, first of all, the author's name or the publication titles to formulate queries, students prefer keyword searching. While scientists trust their own ability to determine the scientific character of information or treat journals as determinants of the scientific quality, students do not. Conclusions. The research revealed some significant differences between the information seeking behaviour of those two groups of mathematicians. It could be the result of different levels of experience in scientific work, distinct tasks undertaken within the academic environment, and the change in the general paradigm of information searching.