Peer Review Process

The research articles submitted to this online journal will undergo a blind peer-review process. Once accepted, the articles will be published online following this peer review. The journal uses English as its language of publication.

To check for plagiarism, DUTIES: Education and Humanities International Journal editors manually screen for plagiarism both offline and using online databases, including Turnitin, by reviewing the title, abstract, and main content of the manuscript. If any indication of plagiarism is detected, the editorial board will immediately reject the manuscript.

Review Process:

  1. The editor receives the manuscript from the author.
  2. The editor evaluates the manuscript based on the journal's aims, scope, formatting, and any supplementary data. If the manuscript does not meet these criteria, it is rejected.
  3. The editor conducts a plagiarism check using both offline and online databases. If major plagiarism is found, the manuscript is rejected. If minor plagiarism or redundancy is detected, the author is contacted for clarification.
  4. The manuscript is sent to a reviewer along with a review form for blind review.
  5. The reviewer returns the completed review form to the editor, along with any revised manuscript, if needed.
  6. The editor makes a decision (rejection, major revision, minor revision, or acceptance).
  7. The author is notified of the decision.
  8. If revisions are required, the author must submit the revised manuscript promptly. Manuscripts returned after three months are treated as new submissions.

 

This journal uses Harvard Dataverse to preserve research data. Authors are encouraged to deposit their data to enhance the global impact of their work. The review policy on this matter is as follows:

 

- Deposited datasets are considered part of the article for peer review purposes, or

- Before finalizing the manuscript, the underlying data must be submitted along with a description of how it was created, including any changes from previous versions and the software used.

For studies involving human participants, the datasets must demonstrate that participant privacy has been safeguarded, following the Data Availability Policy, and should meet the "minimal dataset" criteria outlined in the same policy.