Document Detail


Learning from open source software projects to improve scientific review.
MedLine Citation:
PMID:  22529798     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Satrajit S Ghosh; Arno Klein; Brian Avants; K Jarrod Millman
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Publication Detail:
Type:  Journal Article     Date:  2012-04-18
Journal Detail:
Title:  Frontiers in computational neuroscience     Volume:  6     ISSN:  1662-5188     ISO Abbreviation:  Front Comput Neurosci     Publication Date:  2012  
Date Detail:
Created Date:  2012-04-24     Completed Date:  2012-08-23     Revised Date:  2013-08-13    
Medline Journal Info:
Nlm Unique ID:  101477956     Medline TA:  Front Comput Neurosci     Country:  Switzerland    
Other Details:
Languages:  eng     Pagination:  18     Citation Subset:  -    
Affiliation:
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge MA, USA.
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