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Purpose: This paper attempts to identify the elements and requirements for reuse of research data among researchers in Iran. Methodology: The present study is qualitative research. This research was carried out in two stages. At first, Initial elements were extracted by reviewing and analyzing the content of the texts, but due to the fact that the extracted factors were not native, we were used of the semi-structured interview. The statistical population in the first stage includes articles about reuse in PubMed, Scopus, Science direct and ProQuest databases. The statistical population of the second phase was researchers who were familiar with the reuse of research data. Using targeted sampling, the interviews began, then continued using the snowball strategy and sampling based on the introduction of the contributor. The data gathering tool was a semi-structured interview then data were analyzed by MaxQDA software. Results: As a result of analyzing the content of the literature and interviews, the main elements of reuse of research data were identified in three main dimensions: human factors, organizational factors and infrastructures. Conclusion: The components of each dimension were identified and, at the end, suggestions were made to reuse existing data.

Digital identity has become a significant paradigm in variety of fields such as, sociology, psychology, social studies, information science and software engineering. Digital identity, as an interdisciplinary research field has a plurality of concepts and terms. Therefore, Ontology is able to define a common cognitive literature and basis for active researchers and specialists in this field who need to share information. In this research a great effort was used to study digital identity using the qualitative method of “domain analysis” and to use a population of more than 228 information sources of scientific outcomes such as, articles, theses, identified books and reports from Google Scholar database, online encyclopedias, lectures and training videos, and other keyword-based online sources which can be accessed by keywords of this field on Google. Identification, aspect extraction and digital identity-related ontology were also conducted and the identified OWL language-based ontology was represented using OWLGrEd and webovowl software and then experts’ views were studied and reviewed ontologically. Different definitions and keywords of this field were identified by the conducted survey and the ontology of digital identity was provided. Features of digital identity was provided from 10 different aspects such as paradigms, constituent content, producers, data, identity representation, control, durability, life cycle, awareness and risk-challenge levels, and finally a new definition of digital identity was explained based on the extracted ontology from the field.

Information literacy and its competencies in workplace play a key role in evaluating workforce. However, information literacy models and its definitions cannot be generalized to different contexts. Designing library software by nature is a profession whose tasks are directly tied to information literacy and information technology competencies. In addition, human resource (software designer) is a crucial element of library software designing process. The aim of the present study is to investigate factors affecting information literacy needed by library software developers. The research population contains 15 experts in library software designing team including ‘an operator’, ‘a system analyst’, ‘a supporter’ and ‘a graphic artist’ that have rich and extensive knowledge of the field. The sampling method is snowball sampling and respondent-driven sampling. In terms of methodology, the present study fall into the category of qualitative research. To collect the data, semi-structured interviews has been used. After transcribing the interviews, their written versions were subject to qualitative content analysis. First, capabilities of each job were explained. Common capabilities of team members were then identified and categorized. These common capabilities include team working capability, informational flexibility, information technology (IT) knowledge, and librarianship knowledge. The findings indicate the main components of information literacy to be: consideration on information need, information search and access, information retrieval, methods of information evaluation, information organization and information dissemination. Moreover, the sub-components were identified for each factor separately.

Introduction: The aim of this study is to investigate the relationship between pet owner’s combined knowledge, comfort, and perceived skills at finding, evaluating, applying online pet health information, and the application of the information prescription (IP) provided for pet owners education on the internet. Methods: Thirty telephone interviews were conducted followed by a questionnaire of eHealth Literacy Scale (eHEALS) with pet owners after receiving an IP with a suggested websites in addition to their customary veterinary services in a vet clinic at the center of Tehran, Iran. Qualitative and quantitative data were merged to explore differences and similarities among respondents with different eHealth literacy levels. Results: Results indicate that pet owners with higher score of eHealth literacy more accessed the suggested websites and reported positive feelings about this addition to their veterinary services. Similarly, among the eight-item self-reported eHealth Literacy skills, perceived skills at evaluating and applying, were significantly associated with the use of IPs. Lastly eHealth literacy level was significantly associated with the outcomes of prescribed information, such as veterinarians-client communication outcome and learning outcomes. Conclusion: Disparities in application of the veterinarian’s IPs for online pet healthcare information, and its outcomes are associated with different eHealth literacy skills. Veterinarians should collaborate with information specialists and librarians to perform education efforts to raise awareness on online pet health information quality and impact of veterinarian directed information prescription especially among low health literate owners.

For achieving to ideal research system is necessary to have policy and plan. The main aims of this research are knowledge extracted from the existing data gathered by the country research system. This Knowledge is prerequisite for science and technology policy. Population of the present descriptive research includes Universities of the Ministry of Science, Research & Technology. Data is extracted from database of monitoring of science and technology system. Classification algorithms Multilayer Preceptor neural network and neural network-based radius are used for data analysis. This research results showed that among the 15 indicators studied in this research, full-time faculty members, the number of theses, research funding and number of scholarships have more importance than other indicators. Among the four factors studied, the human resource factor is in the first place and has most importance in the scholarly productions. The education factor, financial factor and Structural factor is in the second to fourth rate.

Purpose: The present research has been done to visual representation of knowledge and determination vacuum and density points of scientific trends of faculty members of state universities of IRAN in Library & Information Science field. Method: Curriculum Vitae of each faculty member with census method were collected and its content analyzed. Then using a checklist, the rate scientific tendencies were extracted. NodeXL software was deployed to map out the levels. Results: The results showed that the trends are concentrated in Scientometrics, Research method in Library & Information Science, information organization, information resources, psychology, Education, Management, the Web, Knowledge management, Academic Libraries, Information services, Information Theories and collection management. Apparently, the Library & Information Science community of experts pays little or no attention to the Library & Information Science applications in the fields of chemistry, Cartography, museum, law, art, school libraries as well as to independent subject clusters such as minorities in library, information architecture, mentoring in library science, library automation, preservation, oral history, cybernetics, copyright, information marketing and information economy. Lack of efforts on these areas is remarkable.

Background and aim: Given the special status and wide usage of image retrieval in various fields, the present investigation studied on the research trends and significant factors within the field of image retrieval and drawing the co-word map based on the articles indexed in Web of Science. Material and methods: This scientometric study was performed using bibliometric techniques such as co-citation analysis. Samples of the current study were all articles indexed in ISI in the field of image retrieval from 2001 to 2012. Therefore, 2537 papers were retrieved in this field. Citespace and VOSviewer were applied for co-word analysis. Findings: The highest centrality with the number of 0.18 has been related to the term "image retrieval". "Content based image retrieval" and "relevance feedback" both with 0.15 centrality have been in the next rank. The Highest burst with the number of 11.59 was belonged to "pattern recognition society". "Content-based image retrieval", "image database" with the number of 7.53 and 5.79 burst have won the second and third ranks, respectively. Sigma was obtained 1.39 for the "shape" and 1 for other terms during this period. Also, the analysis of co-word network in VOSviewer indicated 9 scientific clusters in the field of image retrieval. Conclusion: The analysis of co-word network in the field of image retrieval have shown that the content-based image retrieval is one of the most important approaches in the field of image retrieval in the past years.

Background and aim: The aim of this study was to draw co-citation map of outstanding authors in the field of image retrieval based on articles indexed in ISI from 2001 to 2012. Material and methods: This scientometric study was performed using bibliometric techniques such as co-citation analysis. Samples of the current study were all articles indexed in ISI in the field of image retrieval from 2001 to 2012. Therefore, 2537 papers were retrieved in this field. Citespace and Webometric Analyst software were used to analyze the co-citation of authors. Findings: Results indicated that there were 84 co-citation links among 58 most cited authors in the network of co-citation authors. Tao DC and Zhang HJ reached the first rank with writing 26 articles. Rui Y was the most cited author with 627citations. Highest centrality, sigma and burst were related to RuiY with 0.55, Smith JR with 20.63 and Dattar R with 42.71, respectively. Conclusion: Creating co-citation links among the authors of image retrieval shows the intellectual relevance among the authors of this field. It is obvious that none of the authors with high papers is an effective and most cited author and has the highest centrality, sigma and burst in the field of image retrieval.

Cloud Computing is dominant mode of current and future of information and communication technologies. It is not beyond the realm of possibility that it would foment upheaval within libraries and information centers service-wise. The wide-reaching extent of these changes would envisage a new feature to libraries both in organization and service delivery. The present study, employing a descriptive analysis method, examines the concepts of cloud computing while laying the foundations for a cloud-based library as its corollary. While presented as a conceptual construct, the paper posits that the model can solve some of the issues such as digital right managements as well as copyright. Several models are offered and discussed with respect to applicability, missions, client group, financing as well as service blendals.

Effective aspects and factors on knowledge culture are identified. A model for explaining the relationship between knowledge culture and effectiveness of knowledge management procedures in a knowledge-based organization is presented. The study used a mixture of library and documentary studies, and exploratory mixed methods. First, the literature was reviewed to extract the effective aspects and factors on knowledge culture and the conceptual model was developed. Then, a questionnaire which was validated through eliciting the comments of experts and examining the status of knowledge management in the organization was distributed to the researchers who were randomly selected to be included in the sample. The collected data were examined through AMOS and SPSS software. The possible relationship between the components of the model was investigated through posing five hypotheses and correlation coefficient test. The results of structural equation modeling demonstrated a significant positive relationship between contextual factors and aspects of knowledge culture and between knowledge culture and the knowledge management effectiveness. Evaluating the variables of the conceptual model revealed that staff members’ characteristics, information technology and job characteristics would make a significant positive impact on knowledge creation and knowledge sharing. However, these factors had no significant influence on knowledge cooperation and knowledge learning.

Libraries operate in a competitive environment, and this is essentially needed to prove its benefits for stockholders, and continuously evaluate and compare advantages for printed and electronic resources. In these cases, economic evaluation methods such as cost- effectiveness analysis, is one of the best methods, because of a comprehensive study of the use and cost of library sources. The purpose of this study is to discovery of use and cost- effectiveness analysis of English printed and ebooks at University of Tehran on 2011. Populations of this study are English printed books which have been bought in 23th international Tehran book fair, and Elsevier and Springer ebooks collection. The result showed that the use of English printed books has different in four subject areas of Engineering, Sciences, Social and Behavioral Sciences, and Humanities, unlike English ebooks. The average of use of the printed books in Social and behavioral sciences Was 1.09, and it shows the most among all, and for Sciences, was only 0.14, this is the minimum among. 20 percent of English printed books have been used and the mean for total printed books was 0.77. 52 percent of ebooks have been used, and the average of use of ebooks was 5.16, respectively. So the use and cost- effectiveness analysis of English ebooks are more than English print books. The uses statistics and cost analysis showed that cost per use for English printed books is 787168 Rial and for ebooks is 80,388.