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Volume 1, Issue 4 (3-2015)
Background and Aim: Human Knowledge depends on data and information that is emerged and transffered from different channels. The dessimination process is different from type, form of transfer, and distribution based on information or awareness. This survey compares the librarians and information scienctist’s information transferring capabilities in mass media and social networks.
Methods: This is a cross-sectional survey, descriptive and applied - 94 librarians in the cities of Torbat Heidariyeh and Gonabad. The data was collected by a researcher made questionnaire and the Census method was utilized. Data was analyzed by Wilcakson Test.
Results: Mass media and social networks have their own unique abilities and both are used for information and knowledge transffering. The cost of social media networks is cheaper than media. Most of the participants claim that social networks do a better job of transferring information today.
Conclusion: Media and social networks overlap in most aspects of dissiminating information. In general the strength and capabilities of social networks was much higher than social media. The results will help select a better media and work better in the field of information transferring.
Volume 3, Issue 2 (9-2016)
Background and Aim: The main objective of the research is to determine the understanding level of the students of Ferdowsi University of Mashhad in the terms used in user interface of SIMAD library software.
Methods: The study is an applied research with survey descriptive method. Research population was Ferdowsi University of Mashhad, including 24346 students of whom 164 were selected as sample. Data was collected through questionnaire and SPSS software was used as an instrument for the analysis of the data obtained.
Results: The results indicated that the user's level of understanding of terms used in the user interface is not desirable in objective method (23 words investigated). However, regarding subjective method (the items of the Likert scale) the level of understanding is acceptable. Furthermore, the grammar and the length of the phrases used in the user interface do not result in better understanding of the Terms. Finally, there is not a significant difference between students' understanding level of Terms and students' educational level and field of study in both objective and subjective methods.
Conclusion: To design an appropriate user interface for information retrieval systems, the needs and level of comprehension related to the users must be taken into consideration. However, in other to increase the users’ ability in making use of library software, educating the users appears to be of cardinal importance.
Volume 4, Issue 1 (6-2017)
Background and Aim: The purpose of this study was to identify managers' viewpoints toward the status of components of the cybernetic pattern in academic libraries.
Method: This research was method by analytical survey method. The statistical population of the study consisted of 753 directors and librarians of the central libraries of Tehran and other cities. 250 People were selected by stratified random sampling and based on Krejcie and Morgan table (Powell, 2006). Data collection for this study through a questionnaire According to Byrne Baum (2003), the opinions of experts and specialists in this research. The 6-item questionnaire consists of monitoring and control, links, decision-making, hierarchy, and leadership, which are based on the Likert spectrum of managers surveyed. Data analysis was performed using SPSS-20 software.
Results: The results of this study showed that all components of the cybernetic pattern have been considered from the viewpoint of the managers of academic libraries and have a good position in academic libraries. Among the sub-components of the cybernetic component, the sub-components of the social component with a mean of 36.16, the minor component of the graft, with a mean of 48/15, the subsystem of the causal circuit with an average of 7.75, the minor component of decision making sources with a mean of 49. 15, sub-component divided system by 12/12and cognitive component subscales with an average of 8.49 above the average of other sub-components of the cybernetic pattern in academic libraries.
Conclusion The results of this study showed that components of the cybernetic pattern have a good place in academic libraries, which can indicate the knowledge of the managers of academic libraries about the structure, goals, tasks, services and functions of academic libraries. According to the results of the research, it is advisable to pay more attention to the social role of users of the library in their library management structure in their interactions and to direct them, and to provide the basis for the commitment of human resources through social participation in the process of work and interaction with more management.
Volume 5, Issue 2 (9-2018)
Background and Aim: The present study aimed at investigating the factors affecting the unplanned behavior of users to use academic library resources and services.
Methods: The present study is considered as being an applied one in terms of purpose ,and it has has been conducted using descriptive-survey method. Research population consist of the students of central libraries at Ferdowsi University of Mashhad, Shahid Chamran universty of Ahwaz, universities of Tabriz and Shiraz, as well as the Tehran Univrsity. Having determined the validity and reliability of the questionnaire, 700 questionnaires were distributed among the participants and 654 questionnaires have been analyzed applying stratified random sampling method based on the population size. Path analysis and LISREL software have been used in order for data analysis to be carried out.
Results: The results shows that the environmental factors and also the ones associated with technology affect the students’ unplanned behavior as far as using resources and services of university libraries through the situational factor of time are concerned. In addition, the data resources and services have no direct or indirect influence on the incidence of these behaviors.
Conclusion: Libraries should pay a special attention to the factors affecting the clients’ unplanned behavior, especially the ones whose impact has been proven including "environmental factors", "factors associated with technology", and the "accessible time ". This way, it will be possible for the libraries to have an optimized and efficient use of their resources and services. The result of paying attention to these factors will be the greater use of library resources and services, attracted audiences, and an increased level of awareness and information of users.
Volume 8, Issue 3 (11-2021)
Background and Aim: The aim is to provide an appropriate patients informative model of self-care for the medical information system of the country.
Methodology: This is an applied survey research. Through Cochran's formula sample of 356 individuals were selected from the population of 5,000 individuals. Khajeh Ali (et al., 2020) Qualitative Standard Research Questionnaire (with 2 dimensions, 14 components and 92 questions) was used.
Findings: It was revealed that all parameters of the self-care informing factor analysis model of patients in the medical informing system are significant at 95% confidence level and the model has a good fit. Also, care of medical services has a weight of 0.422, the correction component is 0.924 and behavioral care is 0.417. Meanwhile, 0.92 for the component of participation in care, 0.897 for prevention, for the component of personal cares, 0.482, and 0.448 for the component of satisfaction, 0.502 for the component of environmental cares and 0.852 for health have been acquired. Regarding the information dimension, 0.907 for science and knowledge component, 0.852 for processing, 0.887 for news distribution, and 0.798 for knowledge have been acquired. In addition, for the dimensions of information and self-care, weights of 0.69 and 0.77 were obtained, respectively.
Conclusion: Chronic care is the duty of the primary care team with physicians giving extensive part of their time. Since patient care occurs in service delivery units - part of health system and of a larger community – ensuing participatory care. Information behavior research is to help science professionals to be knowledgeable about the information needs of their target community to make the required planning to offer information resources for patient self-care of the country. Obtained model could bring promising result in the medical information system.
Volume 11, Issue 3 (12-2024)
Introduction There are many data collections in decision-making and every day a large number of these data are collected in research projects by humans or by devices and in this data, to better understand the issues related to data, we need to first understand the data and the literacy related to them. Data literacy is defined as information by reading, creating and communicating with data: that we can find data, make information about it, learn the tools to work with data, have less management of it. We can have, analyze and refine data, learn to share data and make simple decisions.
Research data management includes; production, access, tools, storage and reuse of research data with sufficient and easy-to-use help in virtual research infrastructures that form the main part of the monitoring cycle, which itself includes ideation. It is to create or receive, evaluate, select, ingest, preserve, store, access, reuse (Cox and Verban, 2014).
Studies on research data management are now common, while there is a global ease of research data, but it continues to be difficult to keep data easily accessible. Session, we know more than yesterday about the role of research data in the design and implementation of new research, but the trends and infrastructure to support researchers in research data management, need. (Varana, 2024).
Considering the research that has been conducted on research data management literacy, the aim of this study is to determine the components and indicators of management literacy. ) and to provide a suitable model for research data management literacy.
Methods and Materoal
The present study was conducted with a quantitative and survey method and aimed at evaluating and validating the tool built using the proposed research model. The statistical population of the National Institute of Higher Education Research and Planning was 112 academic centers affiliated with the Ministry of Science and the total number of faculty members of the humanities and social sciences of the country's public universities was 8,441. Due to the large volume of data, 360 people were selected using cluster sampling. Then, the questionnaire was completed and descriptive statistical methods (mean, deviation indices, frequency table) and inferential statistics (structural equation modeling and exploratory factor analysis) and SPSS and Smart Pls software were used to analyze the data.
Resultss and Discussion
The findings indicate that the six factors of stakeholders, services, policy, types of literacy, data cycle, and financial issues are critical together, explaining 60 percent of the total variance of changes. Also, the highest level of the level is related to the stakeholders factor with a mean of 4.09 and a standard deviation of 0.57, followed by the factors of services, policy, data life cycle, types of literacy, and financial issues, respectively. Using the Pearson correlation coefficient test, it was shown that all components of research data management literacy have a positive and significant correlation with the set at the 0.01 error level. The coefficients of the factor loadings of the subscales of research data management literacy also have a good understanding of the concept of their analysis and have a strong and significant correlation with their belief.
Conclusion
Research data management contributes to scientific integrity at different levels. When research data management literacy is sufficient, research data are accurate, complete, valid, and reliable. The risk of losing or damaging data, as well as the risk of unauthorized access, is minimized. In addition, research data can be shared with others with minimal effort and individuals can easily confirm the results.
The relationships between the components and indicators of research data management literacy from the perspective of faculty members in the humanities and social sciences of Iranian public universities show that higher than any of these components in improving the quality and efficiency of research, research data management literacy has a positive effect. The search for understanding the methods and infrastructures related to data management is a research for individuals to achieve better research results and valuable results. The results of this study show that different levels of research data management literacy among university professors know, and also need to have literacy skills in research data management that they do and create. Collecting, processing, validating, publishing, sharing, and archiving data are involved, and this is a characteristic of good research data management.
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