جستجوی مقالات مرتبط با کلیدواژه « Research Data Management » در نشریات گروه « کتابداری و مدیریت اطلاعات »

 Research data management is a set of activities related to the storage, access, and preservation of generated data which includes benefits such as maintaining the integrity and replication of research, increasing data security leading to risk of data loss, and enhancing the implementation of quality research. Acquiring knowledge and skills related to research data management creates many job opportunities for information professionals and helps researchers to fulfill their demands. In this regard, this research aimed to identify the state of research in the field of research data of management literacy.

 The current research was a systematic review with qualitative approach, which is devoted to collecting the studies conducted on a specific subject, examined and revised the resulting information according to certain systematic principles, and presented the results for analysis. More concretely a comprehensive view of related studies and providing researchers with a specific subject area for this purpose, researches related to several stages of searching in international and domestic databases, considering the time range, foreign books and articles between 2012 and 2022 AD and Persian between 1391 and 1401 AD. Fifty works related to the topic of research data of management literacy were searched from research articles of publications, conferences, and dissertations.

 Research data management is one of the emerging branches of science and the main goal of this new field is to help researchers, professors, and students in planning from start to finish. A review of the studies showed that 50 domestic and foreign researchers have addressed the issue of research data of management literacy and related elements. Research has been in 5 main axes, which include: 1. Research data management infrastructure, 2. Research data sharing, 3. Data literacy and research data management literacy, 4. Research data management training. Research, and 5. Research management skills in this field.

 The results of this research showed that research in the field of research data segmentation has been investigated more than other related topics, but the research related to research data management literacy is very limited, especially in Iran. Increasing the level of research data of management literacy requires a lot of effort from universities and higher education institutions. In addition, according to the research conducted outside of Iran, business skills related to research data of management literacy will help people to work harder in advancing the goals of this valuable topic and start to transform the management mechanism. Having their data, they also benefit from teaching and improving students' literacy from the beginning of their studies in the curriculum of different levels.

In order to develop the services of academic libraries and provide new services called Research Data Management (RDM) for helping faculty members and researchers in managing their own research data and benefiting from the research data of others, this article seeks to identify the components of RDM in academic libraries. The outcome can be used as a model for implementing RDM in a systematic and effective way.

This research was carried out in two steps. The first step was a qualitative content analysis to identify components of RDM. In the second step using the identified compontents, a questionnaire was composed and circulated in two Delphi rounds among 20 Iranian experts in the field for validation and refinement. To ensure the reliability of the questionnaire and the internal consistency of questions, Cronbach's alpha coefficient was calculated with a result of 0.97.

In the first step 69 components were identified for 6 steps of RDM process, 1) planning; 2) ethical and legal issues; 3) organizing, documenting, generating metadata, 4) storing and backing up, 5) preserving, protecting, deleting data, 6) sharing, and dissemination. Participants added two new steps 1) education and counseling and 2) technical to the previous 6 steps. Also, some components were removed, modified, merged, and moved, and finally 56 components were emphasized in 8 stages.

All identified components are important in the management of research data in academic libraries. In addition, the results showed that the two components of "formulation and development of research data management plan" and "generating metadata to data and files" are of particular importance. Developing data management plan helps individuals and research institutes estimate the material and human resources needed for projects in advance. Also, generating metadata by increasing percision, makes search, retrieval, discovery, access, and reuse of data by other researchers. Academic libraries should consider this in research data management activities.

The target of this paper is to capacity assessment of curriculum in bachelor and master degree of information science and knowledge studies to support students for getting job opportunities in research data management. This survey is practical by its goal and is done by content analyzing. The society of this paper include all English texts about research data management, curriculum of bachelor and master degree of information science and knowledge studies in information management (data management field) and 14 research data managers and experts of public universities of Tehran. The attitude of this paper is to develop expert thinking in determining curriculums so that result in amplifying new skills. The results show some lessons in curriculums in bachelor and master degree are parallel to research data management skills so with developing they can get the skills. So it is needed to add new changes of presenting research data management services in expert librarianship and to assess curriculum so help the skill development in order to train students as research data managers.

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.

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.