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Peer-review policy

Peer-review is the system used to assess the quality of a manuscript before it is published. Independent researchers in the relevant research area assess submitted manuscripts for originality, validity and significance to help editors determine whether the manuscript should be published in their journal. You can read more about the peer-review process here.

Big Data Analytics operates a single-blind peer-review system, where the reviewers are aware of the names and affiliations of the authors, but the reviewer reports provided to authors are anonymous.

The benefit of single-blind peer review is that it is the traditional model of peer review that many reviewers are comfortable with, and it facilitates a dispassionate critique of a manuscript.

The Editor-in-Chief will manage the editorial and refereeing procedure in which at least two reviewers will assess the manuscripts and suggest decisions. The Editor-in-Chief will be responsible for the final decision about acceptance or rejection of the manuscript.

Big Data Analytics considers the following types of article: Research, Commentary, Meeting report, Methodology, Review, and Software. For more specific information, please take a look at our Submission Guidelines.