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A semi-automated peer-review system

A semi-automated peer-review system

Abstract: A semi-supervised model of peer review is introduced that is intended to overcome the bias and incompleteness of traditional peer review. Traditional approaches are reliant on human biases, while consensus decision-making is constrained by sparse information. Here, the architecture for one potential improvement (a semi-supervised, human-assisted classifier) to the traditional approach will be introduced and evaluated.

A comparison of the quality of reviewer in journals operating on open or closed peer review models

A comparison of the quality of reviewer in journals operating on open or closed peer review models

Report quality is significantly higher on the open peer review model for questions relating to comments on the methods and study design, supplying evidence to substantiate comments and constructiveness.

It's not only peer-reviewed, it's reproducible!

It's not only peer-reviewed, it's reproducible!

Peer review is one of the oldest and most respected instruments of quality control in science and research. Peer review means that a paper is evaluated by a number of experts on the topic of the article (the peers). The criteria may vary, but most of the time they include methodological and technical soundness, scientific relevance, and presentation.

Science, Peer Review, Open Access and Controversy

Science, Peer Review, Open Access and Controversy

Following Nature's Future of Publishing special issue this spring, Science has just published a similar series of articles. Needless to say, there is a definite ideological bent to the articles included in both and more misleading information about open access.

Secretive and subjective, peer review proves resistant to study

Secretive and subjective, peer review proves resistant to study

At the International Congress on Peer Review and Biomedical Publication, efforts to explore the scientific literature have shifted away from peer review and into other areas, such as bias and authorship. With a dearth of available data and funding, large systematic studies of how peer review works and doesn't aren't easy to get off the ground.