Peer Review Policy
The Asian Bulletin of Online Education And E-Learning (ABOEEL) follows a double-blind peer review process. This means that the identity of both the authors and the reviewers are kept confidential throughout the review process.
The review process is as follows:
- Once an article is submitted, it is assigned to an editor. The editor will then assess the article to see if it is within the scope of the journal and meets the quality standards.
- If the article is accepted for review, it will be sent to two independent reviewers. The reviewers will be experts in the field of big data management.
- The reviewers will provide their feedback to the editor, who will then make a decision on whether to accept, reject, or request revisions to the article.
The peer review process is an important part of ensuring the quality of the articles published in ABBDM. It helps to ensure that the articles are scientifically sound and that they contribute to the field of big data management.
Here are some of the criteria that are used to assess articles during the peer review process:
- Originality: Does the article make a significant contribution to the field of big data management?
- Significance: Is the research question addressed in the article important?
- Quality of the research: Is the research methodology sound? Are the results presented clearly and concisely?
- Clarity of writing: Is the article easy to read and understand?
The peer review process can take several weeks or even months. The editor will try to expedite the process as much as possible, but it is important to allow enough time for the reviewers to provide their feedback.
If your article is accepted for publication, it will be published online and will be made available to the public. You will also be given the opportunity to make a final revision to the article before it is published.