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A multi-disciplinary perspective on emergent and future innovations in peer review

机译:同行评审中新兴和未来创新的多学科视角

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摘要

Peer review of research articles is a core part of our scholarly communication system. In spite of its importance, the status and purpose of peer review is often contested. What is its role in our modern digital research and communications infrastructure? Does it perform to the high standards with which it is generally regarded? Studies of peer review have shown that it is prone to bias and abuse in numerous dimensions, frequently unreliable, and can fail to detect even fraudulent research. With the advent of web technologies, we are now witnessing a phase of innovation and experimentation in our approaches to peer review. These developments prompted us to examine emerging models of peer review from a range of disciplines and venues, and to ask how they might address some of the issues with our current systems of peer review. We examine the functionality of a range of social Web platforms, and compare these with the traits underlying a viable peer review system: quality control, quantified performance metrics as engagement incentives, and certification and reputation. Ideally, any new systems will demonstrate that they out-perform and reduce the biases of existing models as much as possible. We conclude that there is considerable scope for new peer review initiatives to be developed, each with their own potential issues and advantages. We also propose a novel hybrid platform model that could, at least partially, resolve many of the socio-technical issues associated with peer review, and potentially disrupt the entire scholarly communication system. Success for any such development relies on reaching a critical threshold of research community engagement with both the process and the platform, and therefore cannot be achieved without a significant change of incentives in research environments.
机译:对研究文章的同行评审是我们学术交流系统的核心部分。尽管同行评审的重要性,但它经常引起争议。它在我们的现代数字研究和通信基础架构中扮演什么角色?它是否符合公认的高标准?同行评审的研究表明,它容易在多个方面产生偏见和滥用,常常不可靠,甚至无法发现欺诈性研究。随着网络技术的出现,我们现在见证了同行评审方法的创新和试验阶段。这些发展促使我们研究了来自不同学科和场所的新兴同行评审模式,并询问它们如何解决我们当前的同行评审系统中的某些问题。我们检查了一系列社交Web平台的功能,并将这些功能与可行的同行评审系统所基于的特征进行了比较:质量控制,作为参与激励的量化绩效指标以及认证和声誉。理想情况下,任何新系统都将证明它们表现出色,并尽可能减少了现有模型的偏差。我们得出结论,新的同行评审计划有很大的发展空间,每个计划都有其自身的潜在问题和优势。我们还提出了一种新颖的混合平台模型,该模型可以至少部分地解决与同行评审相关的许多社会技术问题,并可能破坏整个学术交流系统。任何此类开发的成功都取决于达到研究社区参与流程和平台的关键门槛,因此,如果不对研究环境中的激励措施进行重大改变,就无法实现。

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