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Learning from open source software projects to improve scientific review

机译:向开源软件项目学习以改进科学审查

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摘要

Peer-reviewed publications are the primary mechanism for sharing scientific results. The current peer-review process is, however, fraught with many problems that undermine the pace, validity, and credibility of science. We highlight five salient problems: (1) reviewers are expected to have comprehensive expertise; (2) reviewers do not have sufficient access to methods and materials to evaluate a study; (3) reviewers are neither identified nor acknowledged; (4) there is no measure of the quality of a review; and (5) reviews take a lot of time, and once submitted cannot evolve. We propose that these problems can be resolved by making the following changes to the review process. Distributing reviews to many reviewers would allow each reviewer to focus on portions of the article that reflect the reviewer's specialty or area of interest and place less of a burden on any one reviewer. Providing reviewers materials and methods to perform comprehensive evaluation would facilitate transparency, greater scrutiny, and replication of results. Acknowledging reviewers makes it possible to quantitatively assess reviewer contributions, which could be used to establish the impact of the reviewer in the scientific community. Quantifying review quality could help establish the importance of individual reviews and reviewers as well as the submitted article. Finally, we recommend expediting post-publication reviews and allowing for the dialog to continue and flourish in a dynamic and interactive manner. We argue that these solutions can be implemented by adapting existing features from open-source software management and social networking technologies. We propose a model of an open, interactive review system that quantifies the significance of articles, the quality of reviews, and the reputation of reviewers.
机译:经同行评审的出版物是分享科学成果的主要机制。但是,当前的同行评审过程充满了许多问题,这些问题破坏了科学的步伐,有效性和可信性。我们着重指出五个突出的问题:(1)要求审稿人具有全面的专业知识; (2)评论者没有足够的方法和材料来评估研究; (3)既未确认也未确认审稿人; (4)无法衡量评论的质量; (5)评论要花很多时间,并且一旦提交就无法发展。我们建议可以通过对审核过程进行以下更改来解决这些问题。将评论分发给许多审稿人可以使每个审稿人专注于反映审稿人专长或感兴趣领域的文章部分,从而减轻对任何一名审稿人的负担。提供审稿人进行全面评估的材料和方法将有助于提高透明度,加强审查并复制结果。认可审稿人可以定量评估审稿人的贡献,这可以用来确定审稿人在科学界的影响。量化评论质量可以帮助确立个人评论和评论者以及所提交文章的重要性。最后,我们建议加快发布后的评论,并允许对话以动态和互动的方式继续和发展。我们认为,可以通过改编开源软件管理和社交网络技术中的现有功能来实现这些解决方案。我们提出了一个开放的,交互式的评论系统模型,该模型可以量化文章的重要性,评论的质量以及评论者的声誉。

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