Journal of Data Science

Peer Review

Peer review is an important process to ensure the quality of the papers accepted and published. All papers submitted are subjected to inspection of the experts from the same or related fields, to ensure the relevance of the content to the scope of publication. In this process, comments from experts, including the suitability of the content, originality, novelty, and presentation are given to the authors to improve their papers before the publication.

The Journal exercises the double-blind peer review process to our best to ensure fair editorial decision in the publication process. All the experts who serve as reviewers have the right to accept or reject a submission based on their own decision. The Editorial Team of the Journal, by the recommendation from the reviewers, will either publish a paper without revision, publish the paper after the revision by authors, or reject it from the publication.