数据链接过程和结果的标准化报告的拟议方法。

IF 1.6 Q3 HEALTH CARE SCIENCES & SERVICES
Yinshan Zhao, Mike Jarrett, Kimberlyn McGail, Brent Hills
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引用次数: 0

摘要

目的人口数据BC(PopData)是加拿大不列颠哥伦比亚省的一个机构,它定期将各种行政和研究人员收集的数据与人口脊椎联系起来。我们开发了一个链接报告模板,以提高最终用户和数据提供商链接过程和结果的透明度。ApproachPopData使用内部软件执行概率和确定性数据链接。文献综述确定了现有的联系报告准则和实例。一项调查收集了广泛的最终用户的意见,他们对接收链接报告和对他们的工作很重要的具体信息感兴趣。PopData的链接专家和数据科学家开发了一个模板草案,随后由PopData的工作人员和外部合作伙伴进行了审查。对隐私要求、交付方式、对预期受众的可读性和操作可行性进行了仔细考虑。结果生成的模板建立在我们现有的内部链接摘要的基础上。该报告遵循文献中提出的框架,包括三个关键组成部分:1)关于数据源和链接字段的信息,2)数据预处理和链接方法,以及3)链接结果,以表格和图表的形式呈现,包括总体链接率、匹配字段的详细信息,以及链接对和未链接对的链接权重分布。此外,附录详细描述了联系方法和人群脊柱,补充说明将在适用时对与数据相关的独特问题发表评论。还有助于理解联系方法和报告的教育材料正在编写之中。结论关联数据在研究中的应用越来越多,向研究界提供有关关联过程和性能的信息变得很重要。数据中心编制的严格和标准化的联系报告有助于评估联系绩效对研究结果的影响,并使同行评审研究能够进行透明的报告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A proposed approach for standardized reporting of data linkage processes and results.
ObjectivesPopulation Data BC (PopData) is an agency in British Columbia, Canada, that routinely performs linkages of various administrative and researcher-collected data to a population spine. We developed a linkage report template in order to increase transparency of linkage process and outcome for end users and data providers. ApproachPopData performs probabilistic and deterministic data linkage using an in-house software. A literature review identified existing guidelines and examples of linkage reporting. A survey collected input from a wide range of end users about their interest in receiving linkage reports and specific information that is important to their work. A draft template was developed by PopData’s linkage experts and data scientists which then was reviewed by PopData staff and external partners. Privacy requirements, mode of delivery, readability to the intended audience and operational feasibility were carefully considered. ResultsThe resulting template built on our existing internal linkage summaries. The report follows a framework suggested in the literature with three key components: 1) information on the data source and linkage fields, 2) data pre-processing and linkage methodology, and 3) linkage results, presented in tables and figures, including overall linkage rates, detail on matched fields, and the distribution of linkage weights of linked and unliked pairs. In addition, an appendix describes the linkage methods and population spine in detail, and supplementary notes will comment on unique issues related to the data, when those are applicable. Educational materials to aid understanding of linkage methodologies and reporting are also under development. ConclusionLinked data are increasingly used in research, making it important to provide information on linkage process and performance to the research community. Rigorous and standardized linkage reports produced by data centres can facilitate evaluation of the impact of linkage performance on research findings and enable transparent reporting in peer-reviewed research.
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CiteScore
2.50
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0.00%
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386
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