Initial insight into three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles

IF 2.2 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Learned Publishing Pub Date : 2023-05-09 DOI:10.1002/leap.1546
Yukiko Sakai, Yosuke Miyata, Keiko Yokoi, Yuqing Wang, Keiko Kurata
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Abstract

While data sharing has received research interest in recent times, its real status remains unclear, owing to its ambiguous concept. To understand the current status of data sharing, this study examined primary reuse, data integration, and dataset release as the actual practices of data sharing. A total of 963 articles, chosen from those published in 2018 and registered in the Web of Science global citation database, were manually checked. Existing data were reused in the mode of data integration (13.3%) as frequently as they were for the mode of primary reuse (12.1%). Dataset release was the least common mode (9.0%). The results show the variation in data sharing and indicate the need for standardization of data description in articles based on thorough registration and expansion in public data archives to close the loop that results in the virtuous cycle of research data.

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初步了解数据共享的三种模式:主要重用的流行、数据集成和研究文章中的数据集发布
虽然数据共享近年来引起了人们的研究兴趣,但由于其概念模糊,其实际地位尚不清楚。为了了解数据共享的现状,本研究将主要重用、数据集成和数据集发布作为数据共享的实际实践。人工检查了2018年发表并在Web of Science全球引文数据库中注册的963篇文章。以数据集成模式重用现有数据的频率(13.3%)与以主要重用模式重用现有数据的频率(12.1%)相当。数据集发布是最不常见的模式(9.0%)。结果显示了数据共享的变化,表明需要在公共数据档案的彻底登记和扩展的基础上规范文章中的数据描述,从而形成研究数据的良性循环。
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来源期刊
Learned Publishing
Learned Publishing INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.40
自引率
17.90%
发文量
72
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