Faculty of Psychology and Neuroscience, Department of Cognitive Neuroscience, Maastricht University Maastricht, Netherlands.
Front Comput Neurosci. 2012 Mar 5;6:11. doi: 10.3389/fncom.2012.00011. eCollection 2011 Dec 27.
The current publishing system with its merits and pitfalls is a mending topic for debate among scientists of various disciplines. Editors and reviewers alike, both face difficult decisions about the judgment of new scientific findings. Increasing interdisciplinary themes and rapidly changing dynamics in method development of each field make it difficult to be an "expert" with regard to all issues of a certain paper. Although unintended, it is likely that misunderstandings, human biases, and even outright mistakes can play an unfortunate role in final verdicts. We propose a new community-driven publication process that is based on network statistics to make the review, publication, and scientific evaluation process more transparent.
当前的出版系统有其优点和缺点，是各学科科学家争论的话题。编辑和审稿人都面临着关于新科学发现判断的艰难决策。不断增加的跨学科主题和每个领域方法发展的快速变化动态，使得很难成为某篇论文所有问题的“专家”。尽管并非有意，但误解、人为偏见甚至完全错误都可能在最终裁决中扮演不幸的角色。我们提出了一种新的基于网络统计的社区驱动的出版流程，旨在使审查、出版和科学评估过程更加透明。
