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首页> 外文期刊>Journal of Computer-Aided Molecular Design >Encouraging data citation and discovery with the Data Citation Index
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Encouraging data citation and discovery with the Data Citation Index

机译:通过数据引用索引来鼓励数据引用和发现

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摘要

An overview of the Data Citation Index is provided. Thomson Reuters developed this resource in response to a stated desire among members of the research community for increased attribution of non-traditional scholarly output. Launched in October of 2012 on the Web of science research platform, its aims include linking published research articles to their underlying data sets and tracking the citation of the data, as well as encouraging bibliographic citation of data. Cross-disciplinary search capabilities in the Index enable new possibilities for data discovery and synthesis. Data repositories are evaluated with respect to various selection criteria, with particular attention to their relevance to scientific and scholarly research. Index content reflects current data deposition practices. As data citation standards and practices continue to move toward widespread formalization and adoption, the initiative seeks to address issues of data citation, reuse, and author credit in a developing climate.
机译:提供了数据引文索引的概述。汤姆森路透社开发此资源是为了响应研究界成员对非传统学术成果归属的明确要求。它于2012年10月在Web of science研究平台上启动,其目标包括将已发表的研究文章链接到其基础数据集,并跟踪数据的引用,并鼓励对文献的书目引用。索引中的跨学科搜索功能为数据发现和综合提供了新的可能性。数据存储库会根据各种选择标准进行评估,尤其要注意它们与科学研究和学术研究的相关性。索引内容反映了当前的数据沉积实践。随着数据引用标准和实践继续朝着广泛的形式化和采用的方向发展,该计划力图在不断发展的环境中解决数据引用,重用和作者信誉问题。

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