مطالعه مبانی، مدل ها و مسائل گزینش و مدیریت داده های پژوهشی در محیط های علمی و دانشگاهی

نویسندگان
دانشگاه تهران
چکیده
زمینه و هدف: گزینش و مدیریت داده ­های پژوهشی حوزه نوظهور آموزشی و پژوهشی در علم اطلاعات و دانش­ شناسی است. این حوزه دارای مسائل و ابعاد گسترده­ ایی است. هدف این مقاله مطالعه،شناسایی و بحث و بررسی مبانی و مفاهیم،مدل­ ها و چهارچوب­ ها و ابعاد و چالش­ های گزینش و مدیریت داده­ های پژوهشی در محیط­ های علمی و دانشگاهی است.

روش پژوهش: مقاله حاضر یک مقاله مروری است و از روش کتابخانه­ ایی برای گردآوری مدارک و متون علمی و پژوهشی این حوزه استفاده شد. در این پژوهش پایگاه­ های اطلاعات علمی خارجی و داخلی و همچنین منابع وب با کلیدواژه­ های «data curation»،«digital curation»،«research data management»،«research data curation» و معادل آنها در فارسی جست و جو شدند. پس از حذف منابع تکراری و منابع نامرتبط، در مجموع 132 منبع تفکیک و محتوی آنها ارزیابی و تحلیل نهایی شد.

یافته‌ها: تحلیل متون نشان داد که گزینش و مدیریت داده­ های پژوهشی حوزه­ایی نوظهور با مسائل پیچیده و ابعاد مختلفی است که طیف وسیعی از مسائل آموزشی،سازمانی،فرهنگی،فناوری،قانونی،امنیتی را شامل می­ شود. این حوزه از دهه 2000میلادی مورد توجه دولت­ها،سازمان‌های تأمین مالی پژوهش، دانشگاه‌ها قرار گرفته و اجتماع پژوهشی قوی از پژوهشگران مختلف به‌ خصوص پژوهشگران علم اطلاعات و دانش­ شناسی، آرشیو و سیستم­ های اطلاعاتی حول آن شکل گرفته است. امروزه گزینش و مدیریت داده­ های پژوهشی به عنوان یکی از اجزای اصلی سیاست­گذاری کلان علم و فناوری مطرح شده و نیازمند حمایت دولت و نهادهای قانون­گذار و سیاست­گذار است. مدل­ ها و چهارچوب­ های مختلفی در سطوح مختلف ملی،موسسه یا اجتماع خاص و رشته برای درک ابعاد گزینش و مدیریت داده­ های پژوهشی و اجرای آن ترسیم شده­ اند.همچنین مطالعه متون نشان داد که کتابخانه­ ها و کتابداران از شایستگی و صلاحیت لازم برای برعهده گرفتن نقش­ ها و مسئولیت­ های گزینش و مدیریت داده­ های پژوهشی در دانشگاه و موسسات علمی برخوردارند. با این حال، گزینش و مدیریت داده­ های پژوهشی در اجرا و عمل با چالش­ هایی از قبیل حریم خصوصی،مالکیت داده،حقوق مالکیت فکری،عدم به اشتراک­گذاری داده توسط محققان،نبود زیرساختارهای مناسب مدیریت داده،عدم آگاهی و شناخت و دانش درباره فرایند گزینش و مدیریت داده و غیره روبرو است.

نتیجه­ گیری: علیرغم پژوهش ­های گسترده در خارج، این حوزه در ایران چندان مورد توجه واقع نشده است. بنابراین این مقاله به طور نسبتاً جامع به موضوع و ابعاد گزینش و مدیریت داده ­های پژوهشی می ­پردازد و می­تواند برای پژوهشگران، سیاستگذاران علم و فناوری، کتابداران به منظور تحقیق و اجرای خدمات گزینش و مدیریت داده­ های پژوهشی مفید باشد.
کلیدواژه‌ها

عنوان مقاله English

Study of the foundation, models and issues of research data curation and management in scientific and academic environments

نویسندگان English

Akbar Majidi
nader Naghshineh
Mohammad reza Ismaili ghivi
Manhoodreza Hashemi
University of Tehran
چکیده English

Background and Aim: 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.

Method: 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.

Results: 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.

Conclusion: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.

کلیدواژه‌ها English

Data curation
Research Data Management
Research Data
Life Cycle Models
Data Curation Life Cycle Models
Digital Curation
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