数据论文国内外发展研究综述

发布时间：2018-06-02 08:39

本文选题：数据论文 + 数据期刊　；参考：《图书情报工作》2015年24期

【摘要】：[目的 /意义]数据密集型科学范式增加了科学数据共享的重要性和紧迫性。数据论文作为一种新兴的数据出版模式,成为国内外相关领域研究热点。调研国内外相关文献,希望为我国数据论文与数据期刊实践与研究提供参考与借鉴。[方法 /过程]基于国内外文献调研,从数据论文的概念、出版模式、不同主体的态度、当前模式的缺陷及未来发展方向几方面介绍和评述数据论文这一数据出版模式的发展情况。[结果 /结论]数据论文为解决数据出版中的归属、激励、质量和引用等问题提供了新思路,近年来受到国内外相关领域和主体的广泛关注。与国外相比,国内在实践和研究中存在一些不足,建议研究中关注国内数据期刊的发展,加大对具体问题的研究深度,实践中借鉴国外经验,结合国内特点,从平台、渠道、政策等多方面完善和推广这一新兴数据出版模式。
[Abstract]:Data-intensive scientific paradigm increases the importance and urgency of scientific data sharing. As a new data publishing model, data thesis has become a hot research field at home and abroad. It is hoped to provide reference for the practice and research of data papers and periodicals in China. [methods / process] based on domestic and foreign literature research, from the concept of data papers, publishing models, attitudes of different subjects, This paper introduces and comments on the development of the data publishing model in the aspects of the defects of the current model and the direction of its development in the future. [results / conclusion] data papers provide a new way of thinking to solve the problems of attribution, incentive, quality and citation in data publishing, and have attracted extensive attention from relevant fields and subjects at home and abroad in recent years. Compared with foreign countries, there are some deficiencies in domestic practice and research. It is suggested that the research should pay attention to the development of domestic data periodicals, increase the depth of research on specific issues, draw lessons from foreign experience in practice, combine the domestic characteristics, and from the platform, channel, Policy and other aspects to improve and promote this new data publishing model.
【作者单位】：复旦大学图书馆;
【基金】：国家社会科学基金项目“大数据环境下科研数据管理关键技术与共享服务机制研究”(项目编号:14BTQ035)研究成果之一
【分类号】：G230.7

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