عوامل مؤثر بر اشتراک‌گذاری داد‌ه‌های پژوهشی: مرور پیشینه‌ها

نوع مقاله: مروری

نویسندگان

1 دانشجوی دکترای مدیریت اطلاعات، دانشگاه تهران؛ عضو هیات علمی دانشگاه زابل

2 استادیار گروه علم اطلاعات و دانش‌شناسی، دانشکده مدیریت، دانشگاه تهران

3 دانشیار گروه علم اطلاعات و دانش‌شناسی، دانشکده علوم انسانی، دانشگاه شاهد

4 استادیار دانشگاه صنعتی مالک اشتر

5 دانشیار مدیریت خدمات بهداشتی درمانی، دانشگاه علوم پزشکی بقیه‌الله

چکیده

هدف: شناسایی عوامل و مؤلفه‌های مؤثر بر اشتراک‌گذاری داده‌های پژوهشی.
روش‌شناسی: با جستجوی نظام‌مند در پایگاه‌های معتبر علمی ابسکو، ساینس دایرکت، جی‌استور، پابمد، اسکوپوس، وب‌آو ساینس و گوگل اسکالر محتوای کلیه مقالات مرتبط با عوامل مؤثر بر اشتراک‌گذاری داده‌های پژوهشی تحلیل شد.
یافته‌‌ها: اجبار سازمان‌ها و حامیان مالی پژوهش‌ها، سیاست ناشران نشریات علمی در اشتراک‌گذاری داده‌های پژوهشی، حمایت سازمانی و طرح مدیریت داده‌ها، وجود واسپارگاه‌ها و استانداردهای داده‌ای و فراداده‌ای و میان‌کنش‌پذیری میان آنها، بهره‌وری علمی، تجربه کاری، سن، نوع‌دوستی، حریم خصوصی، محرمانگی داده‌ها، قوانین و مقررات ملی و بین‌المللی، کسب رضایت آگاهانه از مشارکت‌کنندگان، مشوق‌ها و مکانیسم‌های انگیزشی، کسب اعتبار حرفه‌ای و دانشگاهی، همکاری و مشارکت علمی و تقدیر و تشکر رسمی از صاحبان داده‌ها از جمله عوامل مؤثر بر اشتراک‌گذاری داده‌های پژوهشی است.
نتیجه‌‌گیری: با توجه به ارزش افزوده داده‌ها، ضروری است زیرساخت‌های لازم برای توسعه و استفاده هرچه مؤثرتر از داده‌های پژوهشی از سوی ذی‌نفعان این حوزه فراهم شود. سازماندهی مؤثر داده‌ها بهترین راه بهینه‌سازی و سرمایه‌گذاری بر روی آنهاست. 

کلیدواژه‌ها


عنوان مقاله [English]

Factors Influencing Data Sharing: Literature Review

نویسندگان [English]

  • E. Vaziri 1
  • N. Naghshineh 2
  • A. Norouzi Chakoli 3
  • M. Dilmaghani 4
  • S. Tofighi 5
چکیده [English]

Purpose: To identify factors influencing sharing of research data.
Methodology: All scientific papers on factors influencing research data sharing indexed in EBSCO, Science Direct, JSTORE, PubMed, Scopus and WOS were analyzed.
Results: 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.
Conclusion: 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.  

کلیدواژه‌ها [English]

  • Data sharing
  • Research data
  • Data sharing accessibility
  • Scientific outcome
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