系统评价的数据管理:需要指导

H. Ganshorn, Z. Premji
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引用次数: 1

摘要

系统评价和其他类型的知识综合的数据管理实践是可变的,一些评价遵循开放科学实践,而另一些则采用不良的报告实践,导致缺乏透明度或可重复性。报告标准提高了在已发表的审查中共享的细节水平,并鼓励更开放地共享审查过程各个阶段的数据。与项目计划或伦理申请的完成类似,系统审查团队应该在创建研究方案的同时创建数据管理计划。本评论提供了专门为系统审查创建的数据管理计划模板的简要描述。它还描述了配套的LibGuide,它的创建是为了提供更详细的示例,并作为更新和新指南的活文档。该模板的创建是由Portage Network资助的。
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Data Management for Systematic Reviews: Guidance is Needed
Data management practices for systematic reviews and other types of knowledge syntheses are variable, with some reviews following open science practices and others with poor reporting practices leading to lack of transparency or reproducibility. Reporting standards have improved the level of detail being shared in published reviews, and also encourage more open sharing of data from various stages of the review process. Similar to project planning or completion of an ethics application, systematic review teams should create a data management plan alongside creation of their study protocol. This commentary provides a brief description of a Data Management Plan Template created specifically for systematic reviews. It also describes the companion LibGuide which was created to provide more detailed examples, and to serve as a living document for updates and new guidance. The creation of the template was funded by the Portage Network.
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