Analyzing Reviewer Responses to Systematic Review Search Methodology through Open Peer Review
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http://deepblue.lib.umich.edu/data/concern/data_sets/br86b3919
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资源简介:
We conducted a search through BioMed Central's 54 medicine and public health journals that provide OPR documentation in order to identify systematic review papers published in 2017. For each article we determined if OPR data, reviewer and author comments, were accessible. If so, we assessed the search methodology and reporting quality of the search process with a grading rubric based on PRISMA and PRESS standards, and then mined peer reviewer comments for references to the search methodology.
我们针对BioMed Central旗下54种刊载开放同行评审(Open Peer Review,OPR)文档的医学与公共卫生期刊开展检索,以筛选2017年发表的系统综述论文。针对每一篇入选论文,我们核查其开放同行评审数据——即审稿人与作者的评论——是否可获取。若数据可获取,则基于系统综述与Meta分析优先报告条目(Preferred Reporting Items for Systematic Reviews and Meta-Analyses,PRISMA)及电子检索策略同行评审标准(Peer Review of Electronic Search Strategies,PRESS)制定的评分量表,对检索方法学与检索过程的报告质量进行评估,并从同行评审评论中挖掘涉及检索方法学的相关内容。
提供机构:
University of Michigan
创建时间:
2020-11-30



