farideh osareh

Like other sub-disciplines of humanities, scientometrics is influenced by significant factors leading to Belief in Favorable Future (BFF). Education in the field of scientometrics should always strive to prolong its survival and guarantee its evolution in the coming years. Hence, the excellence of scientometrics requires constant and undivided attention to both external and internal contributing factors. The principal objective of this study is to recognize the underlying trends and driving forces influencing the future of scientometrics education in Iran. A meta-analysis of contingent surveys is conducted to serve the purpose of practicality. The expert panel is comprised of 15 professionals in knowledge and information science. Subsequently, a researcher-constructed questionnaire was distributed among professionals. The research findings demonstrated that the driving forces influencing the future of scientometrics education in Iran could be categorized into eleven general indicators. Seven internal indicators include philosophy and the model of higher education for scientometrics, educational forces, curriculum, services and facilities, information and communication technology, academic level of universities, and specific field challenges. Four external indicators include sociological, economic, information technology, policy-making, and higher education system management. Altogether, both internal and external factors are sub-categorized into 57 items.Originality/Value: Due to inconvenient circumstances of scientometrics education in Iran, policymakers and managers of the Iranian higher education system are duly required to address the need to transform the ongoing trends and functional driving forces in the field of scientometrics.

The present study is to analyze the gap between the situation of storage and retrieval of images in the news archives of the Radio and Television of Iran. The present study is a combination and in terms of purpose is in the category of applied research. By adapting the "components of the PAO recovery approach" to the needs of the Broadcasting Organization, the components of image selection, manpower, monitoring strategies, search solutions, infrastructure and recruitment software and illustrations to view each of the six titles obtained Amad The statistical population of the study includes 120 radio and television news agents in Tehran and provincial centers, of which 99 (82.5) were the result of a researcher questionnaire, the effect of which on the storage and retrieval of images was answered. Also, the validity and reliability of the study on exposure and Cronbach's alpha coefficient were 0.94. Data analysis showed that with the satisfaction of users' preferences, the quality of storing and retrieving images in archives and the quality of news broadcasts are improved and cause user satisfaction. The results showed that the gap between the components of search strategies, infrastructure and manpower with a score of 37.7, 36.93 and 36.9 in a critical situation and are far from the standards and are not considered desirable. The gap between the components of image selection, software and compliance with standards with a score of 36.7, 35.6 and 35.2, respectively, is in an unfavorable situation. Also, in all six cases, the mean scores of the current status were lower than the desired status. Using the six components of retrieval approaches, you can play an important role in saving and retrieving images, and users can access images in the shortest time, increase the use of images, and integrate archives seamlessly, without restrictions. Remove time and place. Available to users. Useful research results help integrate image storage and retrieval across different news networks.

This article aimed to demonstrate the results of a study on the application of the CIDOC Conceptual Reference Model for organization of non-book resources.

The content analysis method with a comparative approach was used. In this line, the UNIMARC Standard, the second edition of the Anglo-American Cataloging Rules, and the CIDOC Conceptual Reference Model were reviewed. 116 works in 17 types of non-book materials found in the National Library and Archives of IR of Iran (NLAI) collection formed the statistical population. A checklist was developed and used as the data collection tool, and Microsoft Visio Software was used to draw the required chart.

As a result of this study, 37 data elements were identified. These elements were entered in the fields of zero to eight blocks of the UNIMARC Standard. The rules of description were also based on the second edition of the Anglo-American Cataloging Rules in eight areas of description and analysis and access point parts. A description was provided based on the CIDOC Model for each data element. Also, 20 entities were selected from the CIDOC model, which were interlinked through 23 properties as was required. The "E22 man-made object" entity in the role of "domain" was intended for non-book resources physics. This entity was connected to the “range" entity in various ways. All in all, 24 descriptions were given for 37 data elements based on the CIDOC model.

Based on the result of this study, most of the data elements in the UNIMARC Standard and the Anglo-American Cataloging Rules were described based on the CIDOC Model. This result can indicate the adaptation of bibliographic standards structures to the CIDOC Model and ontological usability. Most of the elements used in bibliographic structures were compatible with ontological structure and CIDOC model. Some of the entities of the CIDOC model and the properties that defined their relationships represented an aspect of non-book resources organization which has been able to provide a structured and relevant description of non-book resources organization from both physical and content aspects. In general, it can be argued that considering the use of conceptual and ontological models to organize non-book resources can be considered as an introduction to the use of ontology to organize other library resources, including books and periodicals as well. In terms of applications of the CIDOC model and its focus on museum materials and cultural heritage, the examples of this research can be a step towards the convergence of methods and patterns used in libraries, museums, and archives.

Analyzing the subject structure of research in this field can provide valuable information about the current state of the field, including its issues and needs, strengths, gaps, and shortcomings. The present study aims to analyze the global research topics in information science and library science, while also reviewing research topics from previous years and identifying thematic gaps. This analysis will provide a foundation for planning and policy research in this field.

The present study utilized an automated classification technique. Data analysis was performed on 85,403 articles indexed on the Web of Science website between 1945 and 2019 in the field of library and information science. The source and tool used for extracting research data was Web of Science. After preparing and pre-processing the data and formulating the classification plan for articles across 31 thematic categories, the logistic regression algorithm has been employed for the automatic classification of articles. This algorithm assigns articles to their respective thematic categories using the Cosine similarity criterion. The various stages of the research were performed using the Python 3.7 programming language and the Pandas, Numpy, NLTK, and Plotly software packages.

Most of the global research in this field is dedicated to information technology, while the field of organizational management has the least amount of research. The growth trend of research in many thematic areas is increasing. However, there is further growth in areas such as web studies, information technology, information behavior, user studies, information retrieval, and search engines. After the 1990s, popular terms such as social media, big data, virtual library, IoT (Internet of Things), machine learning, deep learning, data mining, open data, artificial intelligence, natural language processing, cloud computing, virtual reality, augmented reality, and machine translation have emerged in research in this field. It appears that the utilization of keywords pertaining to traditional subjects in the field has declined, while the usage of concepts encompassing new topics related to technology and the web has increased. The rapid growth of fields such as web development, technology, artificial intelligence, and data mining has led to the evolution of research topics and increased connections with computer science and information technology, particularly in recent years. The changes in the subjects of this field can be attributed to the development of the web and advancements in technology. Additionally, the concepts and research topics in this field have had an impact on globalization, communication progress, and overall development in various economic, social, and cultural dimensions. 

The conclusion of the study highlights the thematic trends in library and information science research over different time periods. It also identifies the weaknesses in the scientific output of this field, while outlining the evolutionary process and the path of progress and development in the field of science. Due to the fact that scientific outputs are derived from the issues, needs, and priorities of a society at any given time, studying them can help clarify the most important issues and research needs in the field of library and information science. This, in turn, can provide a foundation for identifying future research needs and subjects in the field. In other words, having a clear understanding of the subject areas of library and information science will help researchers in this field identify the most important issues and needs. This, in turn, will enable them to take appropriate actions when selecting topics for future research. By conducting needs-based research, we can lay the groundwork for policy development and research planning in this field. This approach will also help address potential challenges and problems that may arise. This is despite the fact that if the needs and issues are ignored, research resources and credits will be spent on topics that do not have the necessary priority and importance. It cannot be expected that the findings from these topics will solve the problems and pave the way for the advancement of this field.

Determining the criteria and indicators based on which Iranian universities are evaluated is essential in university ranking systems. This study aims to identify criteria and indicators appropriate to Iranian universities and to develop a local framework for ranking Iranian universities and higher education institutions. This study was carried out using the fuzzy Delphi technique in six stages: the first stage was to identify the existing rankings, the second stage was to extract criteria and indicators, the third stage was to adjust the indicators based on frequency, and the fourth stage was to use the fuzzy Delphi technique to obtain expert panel opinions, the fifth step is to use the Analytic Hierarchy Process (AHP) for weighting and ranking indicators, and the sixth step is to present a schematic view of the framework obtained. According to findings, 145 studied rankings, 17 criteria, and 2709 indicators were identified. After removing the overlaps and homogenizing the indicators, 17 criteria and 180 indicators were selected to enter the study checklist. Finally, based on the fuzzy Delphi technique and AHP results, the appropriate ranking framework for Iranian universities, which includes 11 criteria and 94 indicators, was developed. The presented framework is designed according to the needs of Iranian universities to produce science and knowledge, create innovation and entrepreneurship, and produce technological products.

This paper intends to find ontologies which are used in the museum domain. In addition, this article aims at extracting ontology applications in the museum domain by studying researches in that domain.

The method of this research is the systematic review and contains two major parts: the first part is searching of researches in the museum domain, and the second part contains survey and analysis of research findings.

The result of this research shows that there are some ontologies in the museum domain. Besides the ontology have several applications in the museum domain. For example, information interoperability in museums, facilitating information access and retrieval. Furthermore, the results indicate that there is a research gap in the ontology for the museum domain in Iran. Because there are only two researches in the ontology in cultural heritage domain in Persian, which are related to the archaeology domain.

 The present study aims at visualizing and analyzing the scientific productions of data mining in medical sciences in the Web of Science (WoS) database to identify knowledge structure in this field.

 The present study was carried out using co-word analysis, which is a scientometrics method. Also, the analysis of the WoS approach was used for the visualization and analysis of word co-occurrence networks in the data mining domain. The research population consisted of 14,430 records related to data mining published in WoS from 2008 to 2016. The data were analyzed after retrieval using VoSviewer scientometric software.

 The research findings showed that the average annual growth rate of scientific productions in the data mining field had an upward trend and reached its peak in 2016. The findings also showed that the USA was the most productive country, with 8123 degrees, claiming the first rank by 27.4% of the total scientific production, and Iran was in the 13th rank with 678 degrees. Among universities and institutions, the Chinese Academy of Sciences (692 degrees), the University of California (621 degrees), and the National Center for Scientific Research (CNSR) (514 degrees) were ranked first to third globally. Among Iranian institutions and universities, Islamic Azad University (IAU), Tehran University, and Iran University of Technological Sciences were ranked 41st, 94th, and 200th in the world with 140, 105, and 66 degrees, respectively. The results of the current research also showed that the field of data mining was formed based on four vocabulary clusters with 108, 82, 73, and 42 words, respectively.

 The recognition of Iran as a successful country in the field of data mining should encourage researchers from other countries to communicate with Iranian scientists.

One of the important aspects of scientific research that can provide the basis for scientific growth and development is their thematic content. Considering the importance of paying attention to the experiences of advanced countries in problem-finding and selecting research subjects, the present research aims to compare and analyze the subject trends of library and information science research at the national and international level.

A review of various studies shows that few studies have been conducted with the approach of comparing the subject trends of library and information science researches at the national level with the researches conducted in advanced countries. China (Rochester & Vakkari, 1998) and India (Dora & Kumar, 2019) were among the countries that compared national and international researches. The results showed that the research topics of this field in more advanced countries were strongly influenced by the educational, research and social structure of those countries and were very different from the research topics conducted in India. The only comparative study conducted in Iran in the field of librarianship and information science was related to (2000) Usefi, which examined the studies of more than 25 years during a limited period (two years).

The present study is of applied type and has been done with a comparative approach between the fields of national and international research. The study population includes 84875 articles indexed in Clarity Analytics database during the years 1945-2019 and 4664 Iranian articles indexed in the ISC database during the years 1972-2019 in the library and information science. The source and tool for extracting research data to review international research topics was the Clarivate Analytics database and the ISC database to review Iranian research topics. In this study, in order to develop a thematic classification plan of articles, the method of reviewing resources and to assign articles to each of the thematic categories, the method of Automatic classification, which is one of the applications of textual analysis, was used. Data analysis was performed by calculating the frequency percentage and Chi-square test and using SPSS 22 software.

The findings showed that there is a significant difference between the number of research areas of library and information science at the national and international level. Fields such as information technology, web studies, information economy, artificial intelligence, data mining, information systems, search engines, and databases were more trending among international research, and fields such as theoretical foundations, fields related to libraries and their functions, research, knowledge management, information retrieval and scientometrics were more common among Iranian researches.

During recent decades, the world has been moving towards digital and virtual space. In this space, developments such as the increase in the volume of information and the emergence of big data on the one hand and the development of information and communication technologies and artificial intelligence tools and big data processing on the other hand, have affected the level of expectations of the people of the society from the services of libraries and the organization and accessibility of information. Has set. For this reason, librarians, information specialists and managers of libraries and information centers have taken advantage of the achievements of fields related to computer science, information technology and artificial intelligence in order to face new developments and manage large amounts of data in order to transform the traditional functions of libraries. In addition, researchers in the field of information science and epistemology, especially at the international level, are more and more interested in studying and researching in the field of data science and acquiring the most up-to-date scientific achievements and knowing the latest related tools and technologies in order to play their effective role in this space. are competitive.

The results of the current research show that the field of library and information science at the international level has established a stronger relationship with other fields, especially artificial intelligence, computer science, information and communication technology. Also, at the global level, digitization processes and information growth are faster and smart technologies and tools have made more progress than third world countries and especially Iran. In other words, advanced countries due to having more economic and political power, more advanced social structure, being a leader in information and communication technology developments, more financial and spiritual support from the governments and officials of these countries for researchers and providing a suitable platform for scientific studies, access Faster access to information sources, and the appropriateness of educational and research programs with the needs and expectations of society members, have a more targeted planning to identify the problem and choose a topic in line with the real problems and needs and in sync with the developments of the day, to carry out their research. Therefore, at the international level, applied topics based on web and internet developments and information and communication technologies should face more trends and a faster growth trend than Iranian research topics.

Considering the role of studying the thematic trend of knowledge and information science research in showing the weaknesses, shortcomings and the path of progress and development of that field, the present study intends to study the topics of articles conducted by Iranian researchers at the national and international levels in this field.

The present study is applied and has been done with the approach of text mining and automated classification analysis. The study population includes articles extracted from the website of Iranian journals indexed in the ISC database during 1977-2019, and the articles done by Iranian researchers that have been indexed in the Web of Science website from 2019-1945. All preprocessing and classification processes are implemented in the Python programming language.

In order to categorize the studies of knowledge and information science, by examining the study backgrounds and combining the existing classifications and consulting experts in this field, a plan consisting of 31 subject areas was prepared and based on the analysis. The findings showed that most of the researches in this field are focused on libraries and information centers and archives; respectively; Research, study and publication; Scientometrics and informatics; and Internet and web studies. In contrast, areas of artificial intelligence; Semantic and ontological web; Information and knowledge-based society; and information systems have the least amount of research. An examination of the concepts and vocabulary used in the studies of this field showed that the word "library" in Iranian articles is the most frequent concept among other concepts in this period. Other commonly used concepts in this course include: Information, University, Science, Study, Knowledge, Management, Evaluation, Web, Library, Technology, Services, and Librarians. Among co-occurrence terms, the terms university library, public library, knowledge management, information science, information retrieval behavior, information technology, medical sciences, national library, digital library, central library, and information retrieval were among the most commonly used terms. Common use of terms such as knowledge, management, technology, knowledge management and information technology, digital, digital library, social network, information literacy, cloud computing and e-government shows the increasing attention of Iranian researchers to interdisciplinary and technology-based topics. Concepts and topics of Iranian research, especially in recent years, have undergone changes in various economic, social and cultural dimensions under the influence of web development and the development of semantic technologies, smart tools, globalization and advances in communication, and comprehensive development.

The results of the present study can help in planning and decision-making regarding recognizing educational and research needs, formulating curricula, and guiding future scientific outputs towards priorities and optimal allocation of resources to them. These results can also guide researchers in deciding to select future research topics in knowledge and information science.

The co-authorship network contributes to sharing of knowledge and experience, increases efficiency, innovates, and develops scientific achievements. This study endeavors to identify the pattern of participation and evaluate the relationship between social influence and the scientific performance of authors in the co-authorship network in medical images. This descriptive study was done using both the approach of scientometrics and social network analysis. The search was implemented in the Core Collection Web of Science (WOS) in February 2021. The cases included 37,190 articles divided into the three-time periods from 1991-2000, 2001-2010, and 2011-2020. The stages of data extraction, matrix construction, and computation of the co-authorship network centrality metrics were performed through a software. The effect of scientific performance evaluation indicators on the measures of centrality (social influence) was examined by multivariate regression analysis. Patterns of participation of one to three authors were decreasing. The number of articles, the number of citations, the H index, and normalized citations of each author have a direct and significant relationship with rank centrality, distance centrality, and betweenness centrality, and inverse and significant relationship with closeness centrality. Centrality variables explain 27% of the changes in the number of articles, 21% of the changes in the H index variable, 0.2% of the changes in the average citation of each article, and 0.6% of the changes in the normalized citation variable, respectively. Considering the increase in researchers' tendency towards collaborative research, the use of centrality metrics and a combination of researchers' performance indicators in the field of medical images can provide a logical criterion for predicting and evaluating their performance while facilitating the identification of influential researchers.

 This paper aims at determining appropriate performance indicators based on the world’s national libraries and related ISOs. They are also chosen according to the NLAI’s experts comments based on Fuzzy Delphi Method (FDM).

The present research is applied to the research purpose and uses a combination of qualitative and quantitative methods. The statistical society includes 2 categories: first, performance indicators of the world's national libraries (Library of Congress, British Library, National Library of Australia, National Library of Spain, Swiss National Library, Library and Archives Canada, National Library of France, and National Diet Library) adopted via emails to their national libraries.The second is through 14 top level managers of NLAI selected by a purposeful sampling. The research tool to conduct a Fuzzy Delphi technique involve a checklist whose validity were recognized according to expert's opinion. The final checklist includes two categories of general and specialized questions. General questions include the demographic characteristics of the respondents. These questions include gender, age, organizational status, work experience, and level of education. Specialized questions that are the main part of the checklist and include 192 performance indicators in 11 dimensions (Building the national collection, Making the services accessible: Cataloguing, Making the services accessible: Quick and easy access, Making the services accessible: Usage, Making the services accessible: Digitization, Offering reference services, Building potentials for development, Preserving the collection, Managing efficiently, Research, and Library Standards Development).

In this study, out of 192 indicators, 32 indicators were selected view point of NLAI expert's. In the dimension of "Building the national collection" out of 20 indicators, 3 indicators were among the performance indicators selected by the experts NLAI.In the dimension of " Making the services accessible: Cataloguing" out of 12 indicators, 2 indicators; in dimension of "Making the services accessible: Quick and easy access" out of 17 indicators, 3 indicators;in dimension of "Making the services accessible: Usage" out of 53 indicators, 6 indicators; in dimension of "Making the services accessible: Digitization" out of 21 indicators, 5 indicators were among the performance indicators selected by the experts NLAI.In dimension of "Offering reference services" out of 10 indicators, 5 indicators; In dimension of "Building potentials for development"out of 28 indicators, 3 indicators; In dimension of "Preserving the collection" out of 9 indicators, 2 indicators; In dimension of "Managing efficiently" out of 14 indicators, 3 indicators were among the performance indicators selected by the experts NLAI.Also, from the other results of this research, it can be said that in the "Research" dimension, out of a total of 4 indicators, no indicators were selected from the perspective of NLAI's experts.In the "Library Standards Development" dimension, the two tasks of cataloging standards and digital and technology standards were selected by the organization's experts.2 proposed items (Number of newly provided bibliographic data to OCLC, and New number of offerings authority data to VIAF), which was not the responsibility of the National Library's review staff, but because of its global importance. They were questioned by experts, not selected by NLAI experts.

In this research, for the first time, the performance indicators of the national libraries of the world and the ISOs related to evaluation of performance of libraries in order to determine and select the performance indicators for NLAI were studied in a coherent manner.From the other results of this research, it can be said that among the 32 selected indicators to evaluate the performance of NLAI, a total of 8 indicators are related to the two ISOs studied (28118 and 21248); That is, 25% of the performance indicators monitored in this study are in accordance with ISO.As Maurice Line stated, "no type of library varies so much in nature, size, and types of media covered, range of acquisitions, functions and services. But what matters is that the responsibilities of national libraries can differ from country to country as they are ‘subject to political agendas which change, often more rapidly than for public or academic libraries.Accordingly, the need to develop performance indicators for national libraries according to their goals and tasks is a very serious issue. Therefore, it is suggested that NLAI use the performance indicators obtained from this study and compare the results and methods used with other national libraries to finally, with frequent reviews and monitoring, achieve a consensus on valid indicators.Finally, given that indicators are defined at the organization’s top levels organization, managers can rely on the findings of the research to appropriately use the indicators to show a clear picture of the performance of the NLAI, and also be effective in allocate resources, make plans and policies of national libraries and prevent potential costs.

Utilizing the experience of leading countries in the field of public libraries can create beneficial developments in the field of public libraries in Iran. The purpose of this study is to assess the feasibility of implementing European Union programs related to public libraries in Iran from the perspective of Iranian public library professionals. This research is part of the commitments related to the Jean Monnet International Joint Project conducted by Allameh Tabataba'i University. The project titled “European Union Plans and Experiences for Public Libraries: Applicability for Iran." The proposal of the project was submitted by Allameh Tabataba’i University to the European Union’s Education, Audiovisual and Culture Executive Agency in the form of a Jean Monnet Programmed grant proposal.  In September 2019 it was judged and announced as the sole grant winner from Iran. This project was the first joint project with the European Union in the Knowledge and Information Science disciplines in Iran. The topics studied in this research, which are based on the review of specialized texts that were identified and compiled, include changes in public library structure, organization, policies and management, library collections and selection of resources, as well as clientele and needs assessment and training.

In this survey study, 378 librarians in public libraries across the country were selected through stratified random sampling and were asked to respond to a researcher-designed questionnaire after confirming the content validity and reliability.  The dimensions of the questionnaire, which was identified and compiled based on a review of specialized texts, include five areas: 1. Structure, organization, policies and management, 2. Collection and selection of resources, 3. Clientel and needs assessment, 4. Services and dissemination of information, and 5. was training. First, the questionnaire was distributed among 25 librarians and professors of Knowledge and Information Science and who were familiar with the issues of public libraries in Iran and amendments were made to it.In order to identify the main factors or structures of the questionnaire, the components related to the use of EU programs were identified using exploratory factor analysis methods. The Varimax rotation method has also been used to ensure the independence of the agents. To confirm the adequacy of the sample, KMO index (Kaiser-Mir-Olkin test) and Bartlett test were used to identify the correlation between items.  In order to evaluate the fitness of the measurement model, three criteria of Cronbach's alpha coefficients, combined reliability and explained mean variance were used. In this study, the Fornell-Locker index was used to evaluate the divergent validity.

In this study, 60.7% of the respondents were women and 39.3% were men. Up to (.96 %) of the respondents had a postgraduate education and were at least 31 years old. The distribution of participants in terms of work experience was in the categories of 5-10 years and 25-16 years.  Iranian librarians believed that to a large extent it was possible to implement programs similar to those of the EU public libraries. Findings showed that the greatest possibility of implementing new programs related to services and information dissemination, and training. Multiple analysis of variance test showed that there was no significant difference in the scores of different domains according to age, sex and education.

It can be concluded that changes to such matters as public library collection and selection of resources, as well as clientele and needs assessment and training, services and dissemination of information are applicable in Iran. In this study, services and information dissemination obtained the highest average scores related to public libraries, which shows the growing importance of information and the need to save cost and time for users.

Considering that the volume of publications is growing at an increasing speed, forecasting the research trend and identifying emerging issues is of particular importance. It should be noted that choosing the right method for accurately predicting the research trend is very important, which has been the focus of many researchers in recent years. In this regard, the present research aims to present the findings of research conducted in Iran and the world regarding the most important approaches and proposed methods for predicting the trend of scientific outputs in the future.

The present study was conducted using the scoping review method. The implementation of the current research includes 5 stages: 1) Identifying research objectives, 2) Identifying related research, 3) Selecting research, 4) Data extraction, and 5) Summarizing, discussing, and reporting the results. To identify relevant research, international databases in English (ScienceDirect, Emerald, Scopus, Web of Science, and ProQuest) and Iranian databases in Persian (Magiran, Noormags, Civilica, SID, and Irandoc) were searched without considering the time limit. In this research, the PRISMA diagram was used for the sampling and data selection process, and the JBI evaluation tool was used to check the quality of selected sources. Finally, 117 effects were analyzed.

An overview of the studies carried out in forecasting research trends shows that these studies have attracted the most attention of researchers in the world and in Iran during the last two decades (especially from 2012 onwards), and the increasing trend in conducting these researches is evident. The most important studies conducted concerning the future of studies were the studies that identified trends and emerging research topics to determine the future direction of studies. In different periods, various approaches have been used to determine emerging issues and predict future research trends, which can be divided into 5 main categories: scientometric, quantitative and statistical, qualitative, mixed method, text mining, and machine learning. A review of studies showed that the most common approach used to identify emerging topics and predict future research trends was the scientometric approach. However, in recent years, due to the limitations of quantitative analysis and scientometric methods to determine the direction of future research, and with the increase in the volume of scientific production and the problems resulting from the analysis of large volumes of data, advances in computer technology and word processing tools. Text mining and machine learning approaches have been used to identify emerging areas and predict future research trends due to their high power in big data analysis along with traditional scientometric methods. The most important disciplines that have paid attention to the problem of predicting the trend of scientific outputs are related to sciences and engineering. It seems that paying attention to this issue in the mentioned fields can be because the speed of developments in these fields is higher and as a result of the necessity of conducting studies to predict the future developments of studies to synchronize and deal with them correctly before other fields and more has been The most important sources to be analyzed to achieve the future path of researches are the articles published in journals. The reason for the focus of these studies on journal articles can be that in any scientific field, articles are usually the result of research projects, theses, and other research experiences, which due to the limited access to these sources, can allow researchers to quickly access the results of these studies. and provide more convenience. On the other hand, scientific publications publish the latest scientific achievements and research findings in the shortest time, and this causes researchers and those engaged in scientific activities to be aware of the latest and most reliable scientific and research achievements. Therefore, to study the future trend of scientific outputs, articles have been considered more than other sources.

Different models and approaches have been proposed by researchers to follow the evolution of scientific products in the future. But it seems that a combination of quantitative and qualitative approaches is needed to make accurate and reliable predictions and overcome the limitations of each of these methods. Be used simultaneously. In addition, utilizing expert opinions can be considered as a complement to scientometric analysis to predict the future. Having a future research approach in scientific policy-making and research management can play an effective role in charting the prospects of scientific development and provide the possibility of policy-making and planning for the future for researchers and stakeholders in various fields.

Since scientometrics has changed significantly over time, study of its changes can include a description of the past, an analysis of the current situation, and planning for the Future, leading to optimal policymaking and planning by organizations. The objective of the present study was to identify trends and driving forces affecting future research in the field of scientometrics in Iran based on the characteristics of the knowledge-based society. This study is applied that has conducted by literature review and survey. An expert panel was conducted with 15 experts in the field of Knowledge Science. Then, a researcher-made questionnaire was distributed among the experts. The study results showed that the driving forces affecting the Future of scientometrics can be divided into 14 general indicators (10 internal indicators including communication and interactions, experts, creativity and innovation, information technology, citation, methodology, index, language barriers, facilities, and specific problems of the field and 4 external indicators including sociology, economics, information technology and policymaking and management of the country's higher education system) with 66 items. Given the undesired situation of trends of scientometrics in Iran, policymakers and managers of the country's higher education system in Iran should consider the need to change the trends and the effective drivers of scientometrics because the lack of synchronization with the changes, the effectiveness, and applicability of research will reduce and faded over time.

 Co-authorship is used to analyze scientific collaboration and identify patterns of collaboration among researchers. Considering the role of medical images in the field of health, it is necessary to identify the cooperation network between authors in order to strengthen research relations between them.

 The purpose of this study is to map and analyze the network structure of all authors of published articles in the field of medical images.

 This research is applied-descriptive and was done with a scientometric approach and social network analysis. The search strategy was implemented in the core collection of the Web of Science database Clarivate Analytics Institute. In this study, 37190 articles in the three time periods of 1991 - 2000, 2001 - 2010, and 2011 - 2020 were reviewed. Data extraction, matrix construction, and mapping of the co-authorship network were performed using Bibexcel, Gephi, and Vosviewer software.

 During the period under review, the pattern of authors’ participation changed from 2 authors to 3 authors and 4 authors. In the years 1991 - 2000, the link strongest with values of 18, 16, and 14 were “Dipaola, R.”, “Frouin, F.” and “Nishikawa, R. M.”, respectively. The co-authorship network consisted of seventy clusters in the years 2001 - 2010, and its strongest members were “Alkadhi, Hatem” and “Leschka, Sebastian” with a total link strength of 100. The co-authorship network in 2011 - 2020 consisted of 60 clusters and the link strongest with values of 58, 55, and 50 belonged to “Van Ginneken, Bram”, “Herrmann, Ken”, and “Ourselin, Sebastien”, respectively. In 2001 - 2010, the network density and clustering coefficient were 0.007 and 0.994, respectively.

 In all 3 decades, the co-authorship network is incoherent. In the 2001 - 2010-decade, 7% of the potential relationships in the co-authorship network were realized. Dispersion in the co-authorship network researchers in the field of medical images is evident. In addition, the amount of density and clustering coefficient of the co-authorship network indicates the greater willingness of authors to collaborate in this decade. The results of this research can be used to expand and strengthen scientific cooperation between researchers.

The continuation of comprehensive developments in the future and their impact on various scientific fields, reveals the need for systematic studies on future knowledge. One of the most important aspects of the field of knowledge and information science from future developments that clarifies the need for future research in this field is the study of research topics. In this regard, the present study seeks to forecast the thematic trend of future research in this field in Iran by 1409. This research is of applied type and has been done with text analysis and deep learning approach. After pre-processing and thematic classification of research, deep neural network algorithms have been used to model past research and Forecast future topics. The study population includes articles extracted from the website of Iranian publications indexed in the ISC database during the years 1972-2019 and articles conducted in Iran that have been indexed in the Web of Science website from 1945-2019. All research processes are implemented in the Python programming language. The research findings showed that in the future, the highest number of researches will be in the fields of Internet and web studies, respectively; knowledge management; Information and Communications Technology; And scientometrics and informatics will be allocated. In addition, in the next decade, the growth trend of research in the field of Internet and web studies; Scientific and information communications; Librarians and information specialists; Data mining and knowledge discovery; Artificial intelligence and future studies will be faster. Areas such as organizational management, theoretical foundations, information resource management, and information processing and management will also have fewer fans among future researchers, and in addition, in the future, the axes of organizational management; Libraries and information centers and archives; Information resource management; Information and digital literacy; And the organization of information and knowledge will experience a slower growth process. The results show that the issues that have been raised in this field in the past years, despite the changes they have had, will continue to live in the same way in the future and only the context, format, methodology and method of their implementation will change. In other words, due to the transfer of traditional functions of this field to the digital and virtual world and increasing the role of information technologies, communication tools, Internet and web development, semantic tools and intelligent technologies in providing services and different dimensions of this field, future research topics They will be affected by these developments and will move towards web-based topics based on new technologies.

The field of Knowledge and Information science needs systematic studies about the future in order to adapt and keep pace with the current developments and to effectively deal with them and maintain their position and survival in the current competitive conditions. In this regard, the present study intends to guide future researchers to develop research in this field by reviewing studies related to the future of information science and science in Iran and the world.

The present study was conducted using the systematic review method. In the present study, in order to ensure the systematic review process, the guide provided by Okoli & Schabram (2010) has been used. For this purpose, related researches were searched in international and domestic databases without considering the time limit. In total, 114 researches were analyzed.

A review of studies showed that 14 dissertations, 25 conference articles, 65 journal articles and 10 website notes addressed the issue of the future of information science and epistemology. These researches have studied the future of this field in four axes: 1. Libraries and information centers in the future; 2. Librarians and information science professionals in the future; 3. The future of education in information science and science; And 4. The future of research in this field. A significant part of this research has been done with the aim of studying the goals, functions, features, services and resources of libraries in the future.

Libraries and information centers will continue to function as an important social institution in the future, but in order to be able to compete with competitors such as the Internet, super search engines, social networks, databases, virtual reality, augmented and hybrid technologies, To maintain and improve their position of audio-visual media and other new tools, it is necessary to change their services in accordance with the needs of the day and new technologies. In the future, the development of media and information carriers will not replace the role of librarians and information science professionals, but the importance of their position will be felt. In fact, among the various technologies and media, only librarians have the ability to overcome the challenges ahead such as the increasing volume of information, the growth of Internet resources, greater diversity of user needs, facing the problems of organizing information resources in cyberspace and optimal retrieval. Information from the masses of information is inappropriate. Given the current and future developments, the need for change in the situation of education and research in this field is felt more.

The present study seeks to identify and analyze the most important events and possible events affecting the thematic process of future research in the field of information science.

The present study was conducted using resource review and Delphi methods. The research community is professors of knowledge and information science at the international and Iranian levels with study backgrounds in the field of the future of this field.

The research findings showed that 78 future events will affect the thematic process of knowledge and information science research. These events come in 6 general dimensions including teaching and learning events; Scientific and research; Innovative and technological; Social and cultural; Political and legal; And economic and employment were categorized. Among the future events, from the experts' point of view, innovative and technological events will have the greatest impact on changing the course of future research topics.

Information and communication technology is a dynamic field that has rapidly expanded its influence in most scientific fields, including knowledge and information science. It is obvious that developments due to information and communication technologies will play an important role in the content of future research in this field.

In this research, a new algorithm for facets extraction has been developed and introduced, which provides the experimental possibility of identifying facets based on a literary warrant. In the field of automatic facet extraction, two main ideas were considered by reviewing the researches. The first idea is that the facet appears in the context. Therefore, to identify the facet in a corpus, its context must be examined. The second idea is that the facet is the focal point in a lexical tree that is neither very general nor very specific. Based on these two ideas, first, the corpus in the medicine area and the obstetrics and gynaecology domain was prepared. The research team selected three corpora from the literary warrant and used the abstract and title of the collection of articles in the top 20 journals of the field to create a contextual corpus. This collection contained 167071 documents. 2000 articles were randomly selected to create the origin corpus. The third body is the lexical corpus. The proper words of the corpus were extracted using a web-based service. The output contained 514 words. Duplicate words were removed and finally, 480 important words were identified. Then, the words were expanded in the contextual corpus with the help of the guide set- Mesh and then-candidate dissertations were extracted based on the two conditions of frequency-based Shifting and rank-based Shifting. Finally, using the three rules of specificity, substitution, and generality, the identified facets were modified and named. Finally, 26 facets were identified in the domain of gynaecology and obstetrics. Comparing the proposed algorithm with other algorithms, it was found that the combination of statistical approach and tree pruning can have better results than purely statistical approach or tree pruning. Also, the comparison of the output facets of the algorithm with the traditional facets in this obstetrics and gynaecology domain showed that the output of the algorithm is smaller and more useful for browsing information retrieval tools. Also, in this study was specified that specialized domain facets are different from general facets and can be redefined independently, but the results cannot be generalized to all medical domains and other research needs to be done in other fields.

Studying the forms of social relations between individuals is the spotlight of sociological studies. Participation is also one of the forms of social relations that has a special place to be paid attention to. One of the most important manifestations of participation is cultural participation in the development of public libraries. The purpose of the present study is to identify and rank barriers affecting the attraction and development of public participation in public libraries from Iranian charity library builders' perspective. The study was exploratory research using a mixed research method which is a combination of qualitative and quantitative methods. In the qualitative part of the study, 15 Iranian charity library builders were purposefully interviewed using snowball sampling. The research population in the quantitative part is active Iranian charity library builders and a questionnaire was distributed among 246 of them. Inferential tests including the Kolmogorov-Smirnov test, exploratory factor analysis, and confirmatory factor analysis were used to analyze the data. According to the findings of the study, behavioral barriers, contextual barriers, and structural barriers were identified as effective barriers in attracting and developing public participation. The results of confirmatory factor analysis show that among the barriers affecting the attraction of public participation in public libraries from the Iranian charity library builders' perspective, structural barriers with a coefficient of .882 and then, contextual barriers with a coefficient of .832, social factors with a coefficient of .824 and behavioral barriers with a coefficient of .818 are ranked first to third priorities, respectively. To overcome the barriers to attracting public participation in public libraries, solving problems and shortcomings in public libraries needs to be mobilized, but this is not possible without planning programs to remove barriers to participation including coordinating various institutions, establishing rules and regulations to expand partnerships, alerting public library officials and managers, promoting and disseminating partnerships in various ways, and providing contexts for legal and social issues.

This article proposes an optimal model based on expert opinions by modeling variance-based structural equations.

A Delphi panel and quantitative confirmatory factor analysis were utilized  Data collecting tool was  questionnaire. Twelve specialists in the field of application of Semantic Web technologies participated in the study. Variance-based structural equations and partial least squares modeling were carried out for data analysis using Smart PLS software

Conceptual model of usability of semantic web technologies in library information storage and retrieval systems indicated semantic web technologies could be employed for four acquisition, organizing, OPAC, and user profile sections. The test of the conceptual model was run in three steps by estimating the goodness-of-fit indexes for the measurement model, the structural model, and the overall model. In fitting the measurement model, analysis of the factor loads for the items of each component showed that one item of the organization component and one item of the OPAC component with a factor load of less than 0.4 were removed. The result of confirmatory factor analysis confirmed 18 items out of 20 in the questionnaire.  Cronbach's alpha reliability and combined reliability ensured the reliability of the questionnaire. Cronbach's alpha values and the combined reliability were equal to and higher than 0.7, confirming the optimal reliability of the questionnaire. Significant relationships  were noticed between the following: 1) ontology+ SKOS + linked data and organization, acquisition, and OPAC components to perform activities such as organizing and managing knowledge, 2) links between metadata; links between related resources, 3) conversion of bibliographic information to RDF format, 4) dissemination and sharing of data, 5) user-friendly interfaces< 6) lexical control, 7) user query expansion. Meaningful ranking of search results according to user information needs and significant relationships between FOAF + linked data in the OPAC components confirmed the optimal fit of the structural model.  Overall fit of the model to control the measurement model and the structural model was equal to 0.64, which shows that the fit of the overall model has a very high strength.

Paying attention to the incorporating of Semantic Web technologies in the library information storage and retrieval system leads to the selection, storage, organization, and semantic retrieval of information. It creates a semantic connection and interaction between the user and the library system. As such, it provides a semantic response to the user’s information needs. The acceptable goodness-of-fit of the proposed model confirmed the semanticization of library systems and probability of using capabilities of semantic web technologies.

The purpose is to analyze the structure of social network Co-occurrence and Co-authorship in quality of life using social network analysis indicators in the Clarivate analytics WoS database.

This research is a scientometric study and has been done using co-occurrence and co-authorship analysis. Social network analysis (SNA) was used to obtain an understanding of the nodes on quality of life areas. MESH subject heading was used to extract related terms on quality of life. The population included 1421 documents which were extracted from Clarivate analytics WoS from 2000 to 2017. Descriptive statistics and Scientometric methods have been used to analyze the data.

The results showed that among researchers, Montazeri has been the most prolific author with 97 documents. Among the Institutions, Tehran University of Medical Sciences with 831 documents ranked first. The total documents for the year 2014 were 284 documents, the area in this research was internal and general medicine with 235 documents, and among documents, the highest type of documents was related to articles with 1111 records. In the study of co-occurrence network in the field of quality of life, 9 thematic clusters were identified: Motor Control (109), Obesity (54), Lifestyle (53), Meta-analysis (52), Risk factors (39), Women (33), Risk (20), Eating (13) and Coronary disease (13). The Motion Control cluster is the largest cluster, accounting for 84% of the total network volume.

The results of the co-occurrence analysis show that this area consists of 9 clusters, the top three clusters were Motor Control, Obesity, and Lifestyle.  Analysis of centrality indicators shows that most of the top-ranking authors are mainly working at the top universities of the country, and the top authors are mostly concentrated on the universities located in the capital rather than the other cities. Also, the study of macro indicators of co-authorship network shows that this structure is considered as a Small-world network due to its average short path length (2.77), network diameter equal to 5, and relatively high clustering coefficient (3.75).

This study seeks to forecast the subject trend of library and information science research until 2030 based on modeling previous research topics in this field, which has been done with a text mining and in-depth learning approach. After preprocessing and thematic classification of the studies, deep neural network algorithms were used to model previous studies and forecast future topics. The study population included 90,311 journal articles in library and information science publications indexed on the Web of Science website from 1945-2020. All research processes were implemented in the Python programming language. The findings showed that the largest number of studies in the future would be related to Internet and web studies, and the growth rate of these topics will be higher in the future. However, topics related to libraries and their work processes and other traditional disciplines such as theoretical foundations will have a lower growth rate in library and information science studies. As a result, knowledge of important future issues, while helping to plan for future research, can identify study gaps and investment opportunities in the R&D sector, thereby assisting researchers, universities, and relevant research institutes in selecting projects intelligently.

This study investigated the factors contributing to the attraction and development of public participation in public libraries from the donors' perspective in the library building. In terms of the research objectives, the present study is exploratory research that was carried out using a mixed research method, a combination of qualitative and quantitative methods. In the qualitative part of the research, 15 active donors were interviewed using the targeted and snowball sampling technique. The research population in the quantitative part consisted of active donors of public libraries in Iran, and a questionnaire was distributed and collected among 246 of them. Inferential tests, including the Kolmogorov-Smirnov test, exploratory factor analysis, and confirmatory factor analysis were used for data analysis. Besides, spss22 and pls3.8 software were run for data analysis. Given the research findings, cultural, economic, social, and structural factors were identified as effective in attracting public participation. The results obtained from the confirmatory factor analysis showed that among the factors affecting the attraction of public participation in public libraries from the donors’ point of view, cultural factors with an impact factor of 0.868 had the highest impact, followed by economic factors with an impact factor of 0.845, respectively. Furthermore, social factors with an impact factor of 0.824 and structural factors with an impact factor of 0.628 were in the third and fourth priorities, respectively. Given the severe challenges of the financial resources of Iran's public libraries, it is quintessential to identify ways to attract more public and donors’ participation, to provide opportunities for participation in public libraries, and to promote this idea among other people. Utilizing donors' experiences in identifying the factors contributing to the attraction of public participation in public libraries can provide a suitable planning environment for the development of public participation in public libraries.

The main purpose of this study is to identify the information behavior of  IRINN  reporters in finding the subject of reports and using information sources.

The present study is an analytical survey using a questionnaire on the statistical population of 60 journalists active in the IRINN in the summer of 1398. The validity and reliability of information measuring instruments were confirmed by the professors of information science and epistemology and its reliability was calculated with Cronbach's alpha coefficient equal to 0.89. Data were analyzed in two sections: descriptive statistics and inferential statistics.

The results showed that the components of "slow internet speed (average 4.47)", "correct understanding and clear view of the subject to increase confidence" and "search for information to report" are the most important barriers to accessing information. The component "role of family, relatives, friends, neighbors in determining the news subjects of journalists" with an average of 3.04 has the lowest rate.

The results obtained from the study show that factors such as: insufficient information from available sources, ignorance of search methods, unprofessional reporters, limitations of providing attractive news, unpopularity of subjects, tendency to meet the demands of managers Media, lack of use of library and archival resources, lack of field news research, problems of formal and in-service education, lack of diversity and inattention to research are the most important components affecting the correct information behavior of journalists.