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利用数据引用索引鼓励数据引用与发现。

Encouraging data citation and discovery with the Data Citation Index.

作者信息

Force Megan M, Robinson Nigel J

机构信息

Thomson Reuters, 1500 Spring Garden Street, Philadelphia, PA, 19130, USA,

出版信息

J Comput Aided Mol Des. 2014 Oct;28(10):1043-8. doi: 10.1007/s10822-014-9768-5. Epub 2014 Jul 1.

Abstract

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.

摘要

本文提供了数据引用索引的概述。汤森路透开发此资源是为了响应研究界成员提出的增加对非传统学术产出进行归因的需求。该索引于2012年10月在科学网研究平台上推出,其目标包括将已发表的研究文章与其基础数据集相链接,并跟踪数据的引用情况,以及鼓励对数据进行文献引用。该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,尤其关注它们与科学和学术研究的相关性。索引内容反映了当前的数据存档实践。随着数据引用标准和实践不断走向广泛的形式化和采用,该计划旨在应对在不断发展的环境中数据引用、再利用和作者署名等问题。

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