جستجوی مقالات مرتبط با کلیدواژه « داده های پژوهشی » در نشریات گروه « کتابداری و مدیریت اطلاعات »

The existing information and communication technologies have provided a platform through which researchers are able to share even the data used in their research, which may have been difficult to obtain, with other researchers and others to reuse and reanalyze. The purpose of this research is to investigate the situation of Iranian Basic Science researchers in sharing and reusing research data.

In terms of purpose, this research was applied and carried out with a quantitative approach and in a survey way. The research community was formed by researchers in the field of Basic Sciences who had articles in the Web of Science database in 2021. The data collection tool was a researcher-made questionnaire designed electronically based on the relevant literature. Sample society consisted of 309 Basic Science researchers participated in this study. SPSS software was used to analyze the data.

The results showed that more than 64 percent of researchers do not have the experience of sharing research data. Individual, cultural and behavioral, legal, and political factors affecting the sharing of research data are in a favorable situation, but organizational and technical factors are in an unfavorable situation. No difference was observed between individual, technical, cultural and political, organizational, legal and political factors with the demographic variables of the research, except in some cases in the gender variable. The researchers of this field are familiar with this concept to a great extent and a positive attitude of this concept has been formed in their minds and they have developed a desire to do it if the conditions are available. However, technically, organizationally, and structurally, the conditions are not yet available. The relevant laws, regulations and instructions have not been prepared, material and spiritual stimuli have not been created in the relevant organizations and institutions, and the hardware and software technical infrastructures and required standards have not been provided.

Despite the fact that there is a positive attitude among Basic Science researchers for sharing and reusing research data, it is not technically and organizationally possible to realize it; Therefore, formal and informal working groups should be created among researchers and they should work in the field of raising awareness about sharing research data and related matters, educational campaigns should be created in order to create a culture of data sharing in scientific and academic centers, conferences and awareness sessions on the benefits of sharing research data and requirements for its implementation should be held for managers and related officials in scientific and research centers of the country, necessary hardware and software technical infrastructures should be created in scientific databases and organizational repositories to facilitate storage and long-term protection of data, how to use the existing systems to share research data with various methods and continuously should be taught, the rules and regulations of sharing research data as well as their reuse should be formulated in compliance with research ethics, and various material incentives should be considered for researchers who share their research data.

The development of information and communication technologies has made it possible to reuse the research data of researchers in conducting new studies. Data sharing occurs when scientists make their data available for use by other researchers to conduct research or other research activities. The current research aimed to investigate the status of research data sharing among researchers in Iran in the technical and engineering fields from the individual, organizational and technical dimensions.

This research was applied in terms of purpose and descriptive survey in terms of the data collection method. The research population consisted of Iranian researchers in the field of engineering in Iran who had scientific production in the WOS database in 2021. Due to the lack of email registration of all the authors, it was not possible to accurately estimate the statistical population. Therefore, to determine the statistical sample using Cochran's formula, 411 people were randomly selected from the population. The data collection tool was a questionnaire designed electronically and sent to the statistical sample. SPSS software was used to analyze the findings.

The results showed that organizational and technical factors have a significant effect on the individual's behavior in sharing research data. Technical factors had a greater impact on individual behavior than organizational factors. Individual factors had no significant effect on data-sharing behavior. Also, the relationship between hidden technical and organizational factors was positive and significant. In addition, the findings showed that gender has a significant effect on individual factors and researchers' job has a significant effect on organizational factors. There was no significant difference between demographic variables including age, work experience, academic rank and degree, and technical, organizational, and individual factors. In addition, the research results showed that many researchers consider the concern about the time-consuming nature of data, misusing, and misinterpreting shared data as reasons for not wanting to share research data. Despite the requirement for the researchers in this field to deliver the research data and the relative provision of hardware and infrastructure facilities to implement this, the appropriate training courses for training management and data sharing are not conducted by the organizations.There was no adequate financial or intellectual support, and no proper infrastructure for sharing data in publications. Technical factors affecting the sharing of research data, such as the familiarity and use of metadata standards for data sharing and accessibility, as well as the familiarity and use of thematic, public, and organizational repositories were in an unfavorable situation.

Considering the research results and the research data sharing and related factors among the researchers in the field of engineering and technology have been neglected, it is necessary for the research stakeholders in the field of technology and engineering to receive appropriate organizational, technical and financial support in order to increase knowledge and willingness of researchers to share data. Furthermore, creating culture-building and understanding the capabilities of research data is also required to provide the necessary training to researchers in the field of engineering.

Data sharing is considered as a hot topic and a norm in many scientific fields. But it seems that, it was neglected in Iranian Medical fields. This research aiming to identify relevant factors in data sharing. With using semi-structured interview, survey and DEMATEL techniques, the present study identified the influencing factors affecting data sharing. The sample population consisted of 14 experienced Iranian medical researchers in data sharing. The results showed that, education, budgeting, attitudes, and institutional requirements were the most influential factors among others and were pure casual factors. In view of Iranian medical researchers, budgeting and organizational supports had the highest effect on authorship, structures, attitudes, ownership and their trust. Co-authorship, trust among the researchers and research system, legal issues like ownership, and the conditions of data access were not strong casual nor strong effect variables in this research, but had important role in data sharing and should be more considered. Identifying factors influencing data sharing enhance and strengthen data sharing and facilitate movement towards data-driven researches, and scientific communities could apply the advantages of data sharing.

Advances in information and communication technologies have facilitated the research and production of large volumes of data, and this has led to a new paradigm in scientific research called the fourth paradigm of science. The purpose of this study was to evaluate the status of research data sharing among researchers at Kerman University of Medical Sciences.

This study is a descriptive survey research. The study population consisted of all faculty members of Kerman University of Medical Sciences with 521 members. The sample size was estimated 220 using Cochran formula.  Data collection tool was a researcher-built questionnaire. Cronbach's alpha coefficient was used to calculate the reliability of different parts of questionnaire. Data were analyzed using descriptive statistics including frequency, percentage, mean and standard deviation.

The status of research data sharing in terms of human factors with an average of 3.67 is in relatively desirable condition. Among the human factor variables, the factor of understanding the importance and necessity of data sharing with an average of 4.21 is in a better position than other items. Also, the status of research data sharing of technical factors with an average of 2.58 and in terms of organizational factors with an average of 2.35 is in a relatively desirable condition.Among the items of organizational factors, respectively, holding training courses, support of senior managers of the organization, standards and regulations, the existence of a special program for data sharing and communication channels between researchers are in an unfavorable condition. Also, the sharing of research data in terms of legal factors with an average of 2.36 is relatively desirable. Legal frameworks, control of data access, and the organization's obligation to share data in research projects are in poor condition. Cultural factors related to data sharing, with an average of 3.95 are in good condition. Among the items of this dimension, only two items of incentive and motivation mechanisms and reducing unsound competition are in a relatively desirable condition.

The results indicated that Data management programs will enable communication with the areas of production, organization, management and preparation of specialized medical data, providing a sharing process for future exploitation. Encouraging the culture of data sharing, holding training courses, designing data sharing agreements, protecting privacy and data confidentiality, financial support, and strengthening the technology infrastructure are among the suggestions of this research.

To determine the most widely used components of research data management from the perspective of librarians in university libraries of medical sciences in 7th.Zone of Iran.

In the present study, has used the exploratory mixed method (qualitative-quantitative). Qualitative data were collected using a semi-structured Delphi-fuzzy questionnaire. In the quantitative section, with the categories-items resulting from the qualitative section in the form of a researcher-made questionnaire, the opinions of 127 librarians of the desired university libraries were collected. Quantitative data were analyzed by factor analysis and structural equation modeling technique with PLS software.

With the implementation of Delphi phases, among the twelve components identified, 6 widely used components in research data management in university libraries of medical sciences of 7th zones, including data infrastructure, respectively; Supervisory role; reuse; the budget; Organize; Have been). The average operating load of these 6 components in the academic libraries under study was higher than 0.6 (acceptable). Cronbach's alpha coefficient, reliability, composition and AVE value were equal to 0.5, so all the criteria in the hidden variables were in the acceptable range. The results of t-test and Friedman test in a small part showed that in the management of research data, librarians in the above categories have made a significant difference compared to other components.

According to the librarians of medical libraries in 7th. Section of Iran, data infrastructure components, supervisory role, reuse, budget, organization and sharing are the most practical components in research data management in such libraries, which can be considered as Used a benchmark to conduct future research as well as to build a tool for related research.

Data-driven research, given the hidden and vital value of research data, is an emerging paradigm that has led to the need for effective and proper management of research data. Research data needs to be stored and retrieved using appropriate methods to make it easy to discover, retrieve, and reuse to add value. Accordingly, it is important to manage research data that includes the organization of data, from entering the research cycle to publishing and sharing that data, recording and maintaining valuable research results. The aim of this study is to identify the dimensions of research data management development by emphasizing the methods of providing research data management services that have been implemented in scientific and research environments around the world.

This research is a systematic review with a qualitative approach to identify the dimensions of research data management development, using MAXQDA10 software to analyze the content of scientific resources and documents. Accordingly, the process of collecting documents using the library method and searching for scientific databases has continued to reaching the point of theoretical saturation and the repetition of dimensions and components. Also, in order to ensure that the theoretical saturation point is reached and the validity of the research are guaranteed, the websites of the top ten universities in the world in the field of research activities in 2019 were observed. With the open coding method, the concepts were extracted from the texts, and then with the central coding and searching for the commonality of the concepts, the graph of the categories was drawn. In total, 403 concepts were extracted from the collected documents, of which 321 concepts are in the field of research data management and 82 concepts are related to the areas of research data sharing, advantages, challenges and solutions. Then, it was ensured that basic concepts in research data management were identified.

It is apparent that the implementation of research data management in universities and scientific centers depends on five basic components: politics, planning, services, stakeholders and technology, which each have a wide range of dimensions and multiple processes. Understanding needs, being aware of existing challenges, developing the necessary knowledge and skills will help determine appropriate policies and planning to best use existing networks and technical infrastructure, which are now available to most universities and research centers, to provide data management services.

In this research, while presenting the basic categories of research data management, dimensions and new methods in the field have been clearly identified. It is expected that Iranian universities and research centers will also work integrated to implement new policies and programs needed to provide and develop research data management services to prevent redundancies and additional costs in the research process.

This paper attempts to identify the elements and requirements for reuse of research data among researchers in Iran.

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.

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.

The components of each dimension were identified and, at the end, suggestions were made to reuse existing data.

 Although data sharing includes various advantages and benefits, researchers avoid sharing their data. The present study aims at investigating the barriers to and challenges of data sharing.

 This study analyzed the literature of data sharing by searching related keywords in the field in scientific databases such as WoS, Scopus, PubMed, JSTOR, EBSCO and ProQuest without any time limitation till 1 July 2016.

 Barriers to and challenges of research data sharing are categorized into five groups: individual barriers including time, cost and devoted effort to manage and share data, losing publication opportunities, misuse and misinterpretation of data, motivational and behavioral barriers including the lack of required rewards and stimuli for data sharing and the absence of proper acknowledgment on behalf of those who reuse data, organizational barriers involving the lack of appropriate organizational support, the lack of proper financial and human resources, and the lack of and/or strict sharing policies of organizations, technical barriers including the lack of proper repositories, disuse of suitable data and metadata standards, as well as the low quality of data and language barriers, and  legal and legitimate barriers including data ownership, the right and level of use and accessibility of data, data sensitivity and considerations and the lack of knowledge about legal issues.

 In order to promote and enhance the research data sharing, identifying the barriers to and limitations in data sharing can be used as a framework for promoting and increasing data sharing.

Information and Communication Technologies (ICTs) have significant role in producing research data in different scientific fields. These data not only lead to generates fields based on research data but also caused to produce a new paradigm or approach in research that calls the Fourth Paradigm or Data Intensive Researches. These researches are based on data sharing by researchers, organizations and scientific societies. It can be to reuse of these data by other researchers. Data sharing is considered as a norm in some of scientific fields. The present article, with library research method, investigated to the approaches, actions, policies and relevant regulations on data sharing in papers, regulations and stakeholder’s websites in scientific and non-scientific databases. Besides national and international organizations, scientific publishers in the world require data sharing as a condition of publications. Because of the universal agreements and data sharing acceptance in many of organizations and scientific fields and due to its benefits and applications, it seems that development of this issue can be an important step on science and research policy making and lead to more research impact in the country.

data sharing is one of the critical drivers of science advancement. ICTs and Open Access movement have significant role in data sharing. This study, is reviewed the ratio of articles, subject categories, institutions and countries contributed to data sharing literature. This research used quantitative approach with scientometric techniques and softwares to analyze data sharing literature. Results showed that during recent years, the number of articles on data sharing increased dramatically. The rate of these articles shows that medical sciences categories, biological sciences and library and information sciences increased considerably, United States produced more than half of the articles, all articles written by about 27000 authors from 6742 institutions from 140 countries. 3500 journals published the articles. These articles indexed in 231 subject categories. The first 20 subject categories indexed more than 90% of the articles. It seems due to data sharing functions and benefits in advancing science and attention of scientific communities to this subject and multidisciplinary context of data sharing, in near future, more and more researchers and scientific communities will tend to data sharing, and this matter will be needed more attention to technical, cultural and structural infrastructures on behalf of data sharing stakeholders.

To identify factors influencing sharing of research data.
All scientific papers on factors influencing research data sharing indexed in EBSCO, Science Direct, JSTORE, PubMed, Scopus, WOS and Google Scholar were analyzed.
The most important factors in data sharing are organization and research sponsors compulsion, organizational support, data management plan, existence of data repositories, data and metadata standards and interoperability, number of publications, work experience, age, altruism, privacy, confidentiality, national and international requirements, work perceived benefit, informed consent from the participants, motivated mechanisms like citations, academic recognition, more visibility and formal acknowledgment from data providers.
Added value of data makes it necessary for stakeholders to provide required infrastructures for research data accessibility. Efficient data curation is the best way to optimize and fund on data.

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