Emran Ghorbani; HamidReza Mahmoodi; Ebrahim Zarei; Mohammad Hassanzadeh; Majid Bashirzadeh; Nazila Mehrabi
Abstract
ObjectiveThe 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.MethodologyIn terms of purpose, the present study is a fundamental research that falls into the category of content ...
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ObjectiveThe 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.MethodologyIn 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.FindingsIn 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 their information. They are also familiar with scientific social networks and have been the most visited and researched by Research Gate, LinkedIn and Academia. They were largely satisfied with the quality and accessibility of online resources, but wanted the information organization to have a single standard and order. ConclusionBased on the results of the interviews, we obtained a model that showed that researchers categorize the retrieved information into four components:1.Useful overt information 2. Useful hidden information 3. Useless overt information and 4. Annoying overt information
Mehdi Alipour Hafezi; Dariush Matlabi
Abstract
The main purpose was to draw a scientific network of research articles on the subject area of Imam Reza. The study was conducted with co-occurrence analysis of words and network analysis technique to identify the conceptual relationships between published papers on the subject of Imam Reza. 1305 articles ...
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The main purpose was to draw a scientific network of research articles on the subject area of Imam Reza. The study was conducted with co-occurrence analysis of words and network analysis technique to identify the conceptual relationships between published papers on the subject of Imam Reza. 1305 articles focusing on Imam Reza were analyzed by comprehensive studies. Descriptive data were entered into Excel software to standardize and draw graphs. Ravromatrix was used to prepare symmetric matrices to draw coherent maps. The matrices were entered into the UCINet to calculate the degree of centrality of degree. VOSViewer software was also used to illustrate the maps. The research findings showed that writers such as Khalil Beigzadeh and Zahra Ghasemnejad are among the most prolific writers. The Ferdowsi University of Mashhad is also in the first rank of participation in publishing articles on the subject of Imam Reza. Researchers with the academic rank of assistant professor have been most involved in publishing the article. The field of Persian language and literature has the most active researchers in publishing articles. Authors such as Mansoureh Fassih-Ramandi, and Hossein Behravan, have a high ability to transfer information and knowledge in the network. Scientific disciplines such as educational sciences, and social research, are among the most popular disciplines in the interdisciplinary collaboration network with the highest degree of degree centrality. Universities such as Amin Law Enforcement Sciences, and Payame Noor, are among the most popular organizations active in the network of cooperation between scientific institutions supporting the publication of articles.
