[目的/意义]非文献资源在科研活动中扮演着越来越重要的角色。科学软件与科学数据作为非文献资源的主要形式,是数据密集型研究不可或缺的重要资源。[方法/过程]通过比较分析中国学者在中外期刊论文中的引用特征,提出一种科学文献与科学软件/数据集引用特征的关联分析方法。[结果/结论]以生物信息学为研究对象,通过对比分析生物信息学研究中新技术应用趋势及应用能力,论证中国学者更倾向于将更优秀的研究成果投向国际期刊的假设,同时也证明科学文献的质量与科学软件/数据集质量之间存在显著的正向相关关系。
[Purpose/significance] Non-literature resources have been increasingly playing an important role in scientific research. As the two types of reprehensive of non-literature resources, scientific software and scientific data are the indispensable resources in data-enhanced research. [Method/process] In this study, the citation activities of scientific software and datasets mentioned in the articles from the International and Chinese Bioinformatics communities are summarized, and a correlation analytical method between scientific literature and scientific software/datasets is proposed to analyze citation behaviors across them. [Result/conclusion] The field of bioinformatics is selected as a testing example to investigate the trend and ability of applying new technology in bioinformatics research, based on which we can proof the hypothesis that Chinese authors prefer to submit their good research findings to international journals. Meanwhile, we can also find the significantly positive correlation between the quality of scientific literature and the quality of scientific software and datasets.
[1] 马建玲, 王楠, 张延敏, 等. 科研用户对非文献资源需求研究——以中国科学院科研用户及研究生为例[J]. 情报理论与实践, 2011, 34(2):67-71.
[2] HANNAY J, MACLEOD C, SINGER J, et al. How do scientists develop and use scientific software?[C]//Proceedings of the 2009 ICSE workshop on software engineering for computational science and engineering. Washington:IEEE Computer Society, 2009:1-8.
[3] BORGMAN C L, WALLIS J C, MAYERNIK M S. Who's got the data? Interdependencies in science and technology collaborations[J]. Computer supported cooperative work, 2012, 21(6):485-523.
[4] 张晓林. 重新认识知识过程和知识服务[J]. 图书情报工作, 2009,53(1):6-8.
[5] PARSE. INSIGHT into issues of permanent access to the records of science in europe[EB/OL].[2016-06-30]. http://www.parse-insight.eu/downloads/PARSE-Insight_D3-6_InsightReport.pdf.
[6] 董蕊. 文献信息与非文献信息的交叉引用研究[D]. 哈尔滨:黑龙江大学,2008.
[7] 陶范. 参考文献具有的十项功能[J]. 中国科技期刊研究, 2007, 18(2):198-201.
[8] 丁楠, 丁莹, 杨柳, 等. 我国图书情报领域数据引用行为分析[J]. 中国图书馆学报, 2014, 40(6):105-114.
[9] 丁楠, 杨柳, 丁莹, 等. 我国社会学期刊论文数据引用行为研究[J]. 图书与情报, 2014(6):88-93.
[10] ROBINSON-GARCIA N, JIMENEZ-CONTRERAS E, TORRES-SALINAs D. Analyzing data citation practices using the data citation index[J]. Journal of the Association for Information Science and Technology,2016, 67(12):2964-2975.
[11] MOONEY H, NEWTON M P. The anatomy of a data citation:discovery, reuse, and credit[J]. Journal of librarianship and scholarly communication,2012,1(1):eP1035.
[12] BALL A, DUKE M. Data citation and linking[EB/OL].[2016-03-21]. http://www.dcc.ac.uk/resources/briefing-papers/.
[13] 王丹丹. 科学数据规范引用关键问题探析[J]. 图书情报工作, 2015,59(8):42-47,53.
[14] Howison J, Herbsleb J D. Scientific software production:incentives and collaboration[C]//In Proceedings of the ACM 2011 conference on Computer supported cooperative work. New York:ACM, 2011:513-522.
[15] HOWISON J, BULLARD J. Software in the scientific literature:problems with seeing, finding, and using software mentioned in the biology literature[J]. Journal of the Association for Information Science and Technology,2016, 67(9):2137-2155.
[16] LEVENSHTEIN V I. Binary codes capable of correcting deletions, insertions, and reversals[J]. Soviet physics doklady, 1966(10):707-710.
[17] HAVLICEK L L, PETERSON N L. Robustness of the Pearson correlation against violations of assumptions[J]. Perceptual and motor skills, 1976, 43(3):1319-1334.