Web of Science中资助确认数据的特征、描述和使用注意事项
Characterization, description, and considerations for the use of funding acknowledgement data in Web of Science
摘要：
自1970年代以来，科学出版物中发现的资助记录一直被用来研究资助对研究的影响。然而，直到2008年，汤森路透科学网开始在其书目记录中添加资助确认信息，才对这种副文本元素进行了广泛的索引。由于这一新信息为可以系统利用的文献计量数据提供了一个新的层面，因此必须了解这些数据的特点及其使用的潜在影响。本文分析了Web of Science中资助确认数据的存在和分布情况。我们的研究结果表明，2009年之前的资金回收覆盖率极低，因此不可靠。自2008年以来，主要收集科学引文索引扩展（SCIE）索引的出版物的资助信息;最近（2015年），已实施纳入社会科学引文索引（SSCI）索引的出版物的资助文本。Arts & Humanities Citation Index（AHCI）的内容不为资助确认数据编制索引。此外，英文出版物的报道最为可靠。最后，并不是所有类型的文件都被平等地涵盖在资助信息中，只有文章和评论显示出一致的覆盖范围。因此，汤森路透收集的资金确认信息的特征可以帮助理解数据提供的可能性及其局限性。
英文摘要：
Funding acknowledgements found in scientific publications have been used to study the impact of funding on research since the 1970s. However, no broad scale indexation of that paratextual element was done until 2008, when Thomson Reuters Web of Science started to add funding acknowledgement information to its bibliographic records. As this new information provides a new dimension to bibliometric data that can be systematically exploited, it is important to understand the characteristics of these data and the underlying implications for their use. This paper analyses the presence and distribution of funding acknowledgement data covered in Web of Science. Our results show that prior to 2009 funding acknowledgements coverage is extremely low and therefore not reliable. Since 2008, funding information has been collected mainly for publications indexed in the Science Citation Index Expanded (SCIE); more recently (2015), inclusion of funding texts for publications indexed in the Social Science Citation Index (SSCI) has been implemented. Arts & Humanities Citation Index (AHCI) content is not indexed for funding acknowledgement data. Moreover, English-language publications are the most reliably covered. Finally, not all types of documents are equally covered for funding information indexation and only articles and reviews show consistent coverage. The characterization of the funding acknowledgement information collected by Thomson Reuters can therefore help understand the possibilities offered by the data but also their limitations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
