以“中国STM期刊卓越行动计划”入列期刊数据政策调查分析为例

Lihua Kong, Shushu Chen, Yan Xi, Xue Lei, Lin Zeng, Yangqin Lang, Yuanchun Zhou, Xiaomin Liu, Yang Wang
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引用次数: 0

摘要

科学数据作为科学研究的重要成果,在学术交流中发挥着重要作用。STM期刊数据政策的制定对促进数据共享、数据复用、数据引用和科研评价具有重要意义。本文采用文献研究和网络研究相结合的方法,根据期刊网站发布的信息,调查了302种STM期刊的数据政策运行状况,这些期刊被选为“中国STM期刊卓越行动计划”的领军期刊、重点期刊和梯队期刊。然后,我们统计分析了数据政策的设置,以及政策的特点,如分类类型、数据可用性和数据引用。调查显示了当前中国高水平STM期刊在科学数据出版方面的实践进展。在统计期刊来源中,81.82%的龙头期刊、62.07%的重点期刊、34.67%的梯队期刊和69.23%的高起点新刊制定了相关数据政策。根据调查结果,在STM期刊上发表数据已被广泛认为是促进科学数据共享的有效途径之一。目前,各大出版机构都制定了相关的数据政策。与国际同行相比,中国STM期刊的数据发布在行业认可和框架战略方面还有很长的路要走,迫切需要为不同的期刊和出版商制定一个通用的数据政策框架。
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Survey and analysis of the data policy of the journals listed in the Excellence Action Plan for China's STM Journals Program for example
As an important output of scientific research, scientific data play an important role in scholarly communication. The establishment of the data policy of STM journals is of great significance to promote the data sharing, data reuse, data citation and scientific research evaluation. In this paper, by means of literature research and online research and based on the information published on journal websites, we surveyed the data policies operation status of 302 STM journals that were selected as the leading journals, key journals, and echelon journals in the Excellence Action Plan for China's STM Journals. Then we statistically analyzed the data policy setting, and the features of the policy, such as classification types, data availability, and data citation. The survey shows the current practice progress of China’s high-level STM journals related to scientific data publishing. Among the statistical journal sources, 81.82% of leading journals, 62.07% of key journals, 34.67% of echelon journals and 69.23% of high-starting new journals have formulated relevant data policies. According to survey results, the publication of data in STM journals has been widely recognized as one of the effective ways to promote scientific data sharing. Presently, all major publishing institutions have developed relevant data policies. Compared with the international counterparts, the data publishing of China’s STM journals still has a long way to go in industry recognition and framework strategy, and it is urgent to develop a universal data policy framework for different journals and publishers.
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来源期刊
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