AUTHOR=Zimmermann Jan , Roebroeck Alard , Uludag Kamil , Sack Alexander T , Formisano Elia , Jansma Bernadette , De Weerd Peter , Goebel Rainer TITLE=Network-based statistics for a community driven transparent publication process JOURNAL=Frontiers in Computational Neuroscience VOLUME=Volume 6 - 2012 YEAR=2012 URL=https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2012.00011 DOI=10.3389/fncom.2012.00011 ISSN=1662-5188 ABSTRACT=

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.