A conceptual peer review model for arXiv and other preprint databases.
- Resource Type
- Article
- Authors
- Wang, LingFeng; Zhan, YaQing
- Source
- Learned Publishing. Jul2019, Vol. 32 Issue 3, p213-219. 7p. 2 Diagrams.
- Subject
- *DATABASES
*PEERS
- Language
- ISSN
- 0953-1513
A global survey conducted by arXiv in 2016 showed that 58% of arXiv users thought arXiv should have a peer review system. The current opinion is that arXiv should adopt the Community Peer Review model. This paper evaluates and identifies two weak points of Community Peer Review and proposes a new peer review model – Self‐Organizing Peer Review. We propose a model in which automated methods of matching reviewers to articles and ranking both users and articles can be implemented. In addition, we suggest a strategic plan to increase recognition of articles in preprint databases within academic circles so that second generation preprint databases can achieve faster and cheaper publication. [ABSTRACT FROM AUTHOR]