生物多样性数据论文发表趋势分析

doi:10.17520/biods.2016325

摘要/Abstract

摘要：

近年来有关科学数据共享的呼声越来越高, 基于同行评审的生物多样性数据论文也受到越来越多的关注, 并出现了一些专门发表数据论文的数据期刊。本文总结了近年来生物多样性数据发表方面的进展, 选择两本代表性数据期刊(Biodiversity Data Journal和Scientific Data), 分析了它们自创刊以来的发文数量、涉及生物类群、文章浏览量和被引次数等指标。结果显示两本数据期刊的发文量都呈稳步增长趋势, 其生物多样性数据论文覆盖了包括动物界、植物界、真菌界在内的众多生物类群, 文章浏览量和被引次数方面也有可喜的表现, 说明数据论文正在被越来越多的研究者所接受。对文章作者国别的分析则显示了不同地区的研究者在发表生物多样性数据论文或数据共享方面的不均衡。建议相关领域的中国研究者和期刊关注生物多样性数据论文和数据共享政策, 更多地践行数据共享。

关键词: 数据共享, 数据期刊, 开放科学, 生态学, 文献计量学

Abstract

In recent years, there have been more and more appeals for sharing of biodiversity data. ‘Biodiversity data paper’ has been proposed as a reward mechanism for sharing data by individual scientists. Some data journals dedicated to publishing data papers have been founded. In this paper, we analyze the number of articles, coverage of biological groups, article views, and citations of two representative data journals (Biodiversity Data Journal and Scientific Data). Results show that the number of articles in both data journals has been steadily increasing. Biodiversity data papers cover a wide range of biological groups in Animalia, Plantae and Fungi. The article views and citations also show encouraging performance. These results indicate that data papers are being accepted by more and more researchers. Analysis of author regions of biodiversity data papers indicates a disequilibrium in the data sharing culture among different geographical regions. We suggest Chinese researchers and journals in related fields pay more attention to biodiversity data papers and trends of data sharing policies, as well as improving data sharing practices.

Key words: data sharing, data journal, open science, ecology, bibliometrics

李俊洁, 黄晓磊 (2016) 生物多样性数据论文发表趋势分析. 生物多样性, 24, 1317-1324. DOI: 10.17520/biods.2016325.

Junjie Li, Xiaolei Huang (2016) Analysis of publication trends of biodiversity data papers. Biodiversity Science, 24, 1317-1324. DOI: 10.17520/biods.2016325.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.biodiversity-science.net/CN/10.17520/biods.2016325

https://www.biodiversity-science.net/CN/Y2016/V24/I12/1317

图/表 5

图1 Biodiversity Data Journal (a)和Scientific Data (b)两本数据期刊自创刊以来的发文量趋势

Fig. 1 Time-series trends of article numbers of two data journals, Biodiversity Data Journal (a) and Scientific Data (b)

图2 Biodiversity Data Journal的文章所覆盖的生物类群: (a)所有生物类群; (b)昆虫纲。

Fig. 2 The coverage of biological groups in Biodiversity Data Journal papers: (a) All groups; (b) Insecta.

图3 不同国别作者在Biodiversity Data Journal的发文数量(这里显示了发文数量超过5篇的31个国家或地区, 另有38个发文数量少于5篇的国家或地区未显示)

Fig. 3 Article numbers published by authors from different countries or regions. The 31 countries or regions with five and more articles are shown, and 38 countries or regions with articles less than five are not shown.

表1 Scientific Data文章的被引次数分布。表中“文章数量”表示在某个引用量区间内的文章数量。

Table 1 The citation numbers of Scientific Data papers. ‘Article numbers’ in this table means the numbers of articles within certain citation ranges

CrossRef引用量 CrossRef citations	文章数量 Article numbers	Scopus引用量 Scopus citations	文章数量 Article numbers
0-5	77	0-5	53
5-10	10	5-10	14
10-15	4	10-15	5
15-20	4	15-20	2
20-25	1	20-25	2
25-30	2	25-30	1

图4 Biodiversity Data Journal (a)四类文章(Taxonomic Paper, Data Paper, General Article, Software Description)和Scientific Data (b) Data Descriptor文章的浏览量

Fig. 4 The unique view numbers of four types of articles (Taxonomic Paper, Data Paper, General Article, Software Description) in Biodiversity Data Journal (a) and Data Descriptor articles in Scientific Data (b)

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