Human Information Interaction

Knowledge Translation and an Assessment of its Effectiveness in Medical Fields

Azam Sanatjoo

Background and Aim: Known by different titles in Iran and worldwide, knowledge translation (KT) has been introduced to push the knowledge from theory to action. In medicine and healthcare research fields, KT reads as needs assessment procedures, producing effective knowledge, taking into account all types of audiences, knowledge synthesis, appraisal, and monitoring sustained knowledge use. This research aimed to introduce KT and assess its effectiveness in medical fields.
Methods: Description of KT was provided using available literature and ideas from some international KT researchers. KT effectiveness was assessed using some ideas from some experts in the KT field and also conducting a type of systematic review namely scoping review. Using keyword inquires relevant research were retrieved from several online databases and of 316 collected English articles published between 2008 and 2017, 22 articles were included. Selection of articles was based on PRISMA recommendations and flowchart. Findings were presented through C+M=O, i.e. context, mechanism, and outcome pattern configuration.
Results: Initially, various dimensions of KT such as its backgrounds, parallel names, knowledge synthesis, knowledge hierarchy, and issues of application of KT in other than medical fields were discussed. Then, through a scoping review general effectiveness of KT in most reviewed subjects was confirmed, so that of 22 assessed articles only 3 were not supportive. Education was the major intervention used for assessing effectiveness of KT.
Conclusion: KT has received attentions from some Western countries like Canada, the US and recently Iran. Despite the allegedly insufficient resources on KT, it has good results in practice for delivering knowledge to experts and lay people, with an exception of policy makers. However, there are some doubts as if KT is not a new paradigm but a restatement of traditional strategies in production and application of scientific knowledge.

Ambiguous Aversion; A Descriptive Model of Human Behaviour based on Quran

Ali Abdollahi Neisiani

Background and Aim: The current study aimed to investigate "ambiguous aversion behavior" based on Quran explains. The lack of "Descriptive Models of Human Behaviour" (DMHB) is one of the oldest anomalies in behavioral sciences. It's because different scientific demands to understand, predict and control human behavior. Specially, ambiguous aversion that is a common behavior and extremely influences different scientific issues.
Methods: The methodology and all the steps of this research in preparing, organizing text, studying, and documentation, coding, abstraction and final conclusions are based on qualitative content analysis. The model is identified and explained thorough the deep studies in scientific literature of DMHB and Quran text. Quran in this research is the source of idea to find DMHB; also the guide of explaining DMHB.
Results: The results showed that 814 phrase of Quran (Ayah) are related to DMHB and ambiguous aversion behavior. The final model could be explained in the scientific standard structure -as "Ideal Type of DMHB"- so its Comprehensiveness to explain a behavioral model is approved. Also, its relations to other renowned theories is discussed.
Conclusion: According to the results, in this paper we developed new model of "Ambiguous Aversion" that describes why people tend to resist against changes and ambiguous situations; and what their behavioral strategies are. The basic reason of ambiguous aversion is avoiding uncertainty to owning utilities. And human feels uncertainty when he feels situational changes. His behavioral strategies against change are: change denial, interpreting not important change, change resistance. Also his direct behavioral strategies against ambiguous are: clarification, Risk coverage and resource possessing.

Study of the foundation, models and issues of research data curation and management in scientific and academic environments

Akbar Majidi

Background and Aim: The purpose of this paper is to study, identifying and discuss the foundation and concepts, models and frameworks, dimensions and challenges of research data curation and management in scientific and academic environments.
Method: This article is a review article and library method was used to collect scientific and research texts in this field. In this research, external and internal scientific databases, as well as web resources, were searched with the keywords "data curation", "digital curation", "research data management", "research data curation" and their equivalent in Persian. After removing duplicate sources and unrelated sources, a total of 132 sources were selected and their content evaluated and analyzed.
Results: The analysis of the literature revealed that the curation and management of research data is a emerging area with complex issues and different dimensions which included of a wide range of educational, organizational, cultural, technological, legal, and security issues. Since the 2000s,This area has been at the forefront of governments, funding organizations, universities and has been formed around it a strong research community of researchers, especially in the field of information and knowledge science, archives and information systems. Today, the curation and management of research data is considered as one of the main components of the large-scale science and technology policy and needs government support and legislative and policy-making institutions. Different models and frameworks have been drawn up at various levels of the national, institution or community for understand the dimensions of the curation and management of research data and its implementation. The study of literature also has shown that libraries and librarians have the ability and competence to take on the roles and responsibilities of curation and management of research data at universities and scientific institutes. However, the research dat curation and management in implementation and practice faces with challenges such as privacy, data ownership, intellectual property rights, lack of data sharing by researchers, lack of proper data management infrastructure, lack of awareness and cognition and knowledge of the process of research data curation and management, and so on.
Conclusion:Despite extensive research abroad, this area has not received much attention in Iran. Therefore, this article addressed relatively comprehensive the subject and dimensions of the research data curation and management, and it can be useful for researchers, policy makers of science and technology, librarians for research and implement research data curation and management services.
Preservation and creat added value for data research throughout its lifecycle in order to reuse it for new purpose of research is an important application of data curation. Several models have been provided by various reserchers and organizations for data curation based on the life cycle approach.Among which Digital Curation Center curation model had important role in identification of data and curation practices as well as others models development.

This paper is an opinion paper based on library method.

This paper addresses the issue of Data Curation and its foundations, models and issues. So, it could be of interest to Information professionals, Archive and data management researchers, academic and scientific and educational organizations’ managers and other data-intensive Environments.

Data Analysis Methods in Social Networks

Fatemeh Navidi

Background and Aim. The promising outlook of easy communication incurring minimum cost has caused social networks to face increasing number of active members each day. These members develop and expand international communication through information sharing including personal information. Thus, big data analysis of social networks provides companies, organizations and governments with ample and unique opportunities to reach their strategic goals and various methods have been proposed in order to accomplish this objective. Each method has its own advantages, disadvantages and application area which would require deep study and assessment to understand. Therefore, the aim of this study is to investigate the approaches and methods of data analysis in social networks and study the advantages, disadvantages and application area of each method.

Method. This research is an applied research with qualitative approach and it was conducted using thematic analysis method and the study population include 35related conference papers, journal articles and reports published during 2010-2017.

Results. Various methods are used for the analysis of social networks and these methods are classified into three categories: quantitative, qualitative and mixed methods.

Conclusion. Due to the complex and multidimensional nature of social networks, the best approach is a mixed approach. This means combination of qualitative and quantitative methods and exploring various aspects of networks.

Designing a System for Trend Analysis of Users in Website Surfing in Iran Using Data Mining and Text Mining Algorithms

Babak Sohrabi

Background and Aim: As of the entrance of web surfing to the lifestyle of a vast majority of people in the society and the need for a more accurate social and cultural policy making in the field, authors intended to analyze the behavior of the society users in viewing different websites so as to help politicians and practitioners.
Methods: Design science research method is used in this research. The data sample of research consists of all available users that surf Iranian and foreign websites. For gathering data from various active users, some add-ons were designed and published over browsers so as to gather sufficient data.
Results: Through the utilization of text mining algorithms, the browsed webpages were differentiated and using data mining algorithms, the pages were categorized and interpreted.
Conclusion: Finally, a comprehensive system was designed for the analysis of internet users’ web browsing trends which contains the data gathering phase and innovative report preparation that can be used as an effective sample for analysis, design, and implementation of web-based analytical systems.

Identifying and analyzing Business Information behavior of Khouzestan Science & Technology Park Companies

Rohollah Khademi

Background and purpose: Business Information is among the important sources for companies, especially for those located in Science and Technology Park which intend to launch a technological business and enter the market. To this end, different aspects of business information behavior of the companies need to be investigated. The aim of this article is to study business information behavior of companies based in Khuzestan Science & Technology Park.

Methodology: This qualitative study was conducted based on grounded theory. Companies affiliated with Khouzestan Science and Technology Park formed our research population. The data was collected through semi-structured interviews with 14 companies.

Finding: The results show that the aims of business information seeking include: organizational goal completion and task fulfillment, updatedness, efficiency, competitiveness and preparation for difficult situations and problem solving. Furthermore, business information need includes knowledge of market, national and international policies, laws, financial information, information about products, information about management, as well as information management. Sources of business information were mass media, science and technology park, internet, educational courses, informal communication, and library and financial consultants. However, barriers to business information seeking included lack of information seeking and information literacy skills, problems about information, technical infrastructure, personal factors, cultural, political and ethical problems, problems in receiving information from the science & technology park and organizational problems.

Conclusion: Companies based in science and technology parks are well-aware of the importance of business information. Moreover, their business information needs are in line with other researches. By identifying the relevant sources and obstacles, this paper can help to provide appropriate information services to these companies.

The Relationship between Information Literacy and Learning Motivation in Undergraduate students

Leila Khalili

Background and Aim: Information literacy is a key element in the development of an independent and effective learning in higher education in the 21st century. The aim of this study was to investigate the relationship between information literacy and learning motivation in undergraduate students. In addition, the mean score of information literacy was measured based on educational and demographic variables.
Methods: This applied research carried out with a quantitative approach and survey method. The data collection instrument was a questionnaire. The study population was undergraduate students at Azarbaijan Shahid Madani University and 379 samples were selected using stratified random sampling. Descriptive and inferential statistics analyses (Pearson correlation, independent T and ANOVA) were performed using SPSS software.
Results: Students' information literacy based on five standards was 2.48. Based on the findings of the Pearson correlation coefficient with 99 percent confident there was positive and significant relationship between information literacy and learning motivation. In addition there was positive and significant relationship between information literacy and Grade Point Average (GPA) of students with 99 percent confident. Based on independent T-test was not observed a significant difference in male and female students' information literacy. ANOVA test showed a significant difference with 99 percent confident between information literacy and entrance year of students. Based on ANOVA test there was no significant differences on students' information literacy based on field of study.
Conclusion: Students' information literacy unsatisfactory. Information literacy had a positive relationship with learning motivation. Also there was a positive relationship between information literacy and academic performance (GPA). Information literacy of senior students was more than freshmen. Information literacy of students in four areas of study (Humanities, Engineering, Agriculture and Science) was almost similar.