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Publication Ethics

International Journal of Intelligent Data and Machine Learning (IJIDML)

The International Journal of Intelligent Data and Machine Learning (IJIDML) is committed to maintaining the highest standards of academic integrity, transparency, and ethical publishing. The journal follows the ethical principles and best practices recommended by the Committee on Publication Ethics (COPE) and expects all participants in the publication process—authors, editors, reviewers, and the publisher—to adhere strictly to these standards.

1. Ethical Responsibilities of Authors

Authors submitting manuscripts to IJIDML are expected to comply with the following ethical guidelines:

1.1 Originality and Plagiarism

  • Manuscripts must be original and unpublished work.

  • Proper citation and acknowledgment of all sources are mandatory.

  • Plagiarism, including self-plagiarism and duplicate publication, is strictly prohibited.

  • All submissions may be screened using plagiarism detection software.

1.2 Multiple, Redundant, or Concurrent Submissions

  • Authors must not submit the same manuscript to more than one journal simultaneously.

  • Previously published work must not be submitted without full disclosure and editorial approval.

1.3 Authorship and Contribution

  • Authorship should accurately reflect significant intellectual contributions.

  • All listed authors must approve the final manuscript and agree to its submission.

  • Any changes in authorship after submission require written consent from all authors.

1.4 Data Integrity and Reproducibility

  • Authors must ensure the accuracy and integrity of data presented.

  • Fabrication, falsification, or selective reporting of data is unethical.

  • Authors should retain raw data and provide access upon reasonable request.

1.5 Ethical Use of Data and Algorithms

  • Data collection and usage must comply with applicable ethical and legal standards.

  • Authors must disclose the use of automated tools, algorithms, or AI systems where relevant.

  • Bias, fairness, and transparency considerations in machine learning models should be addressed.

1.6 Disclosure of Conflicts of Interest

  • Authors must disclose any financial, professional, or personal conflicts of interest.

  • All sources of funding must be clearly acknowledged.

2. Ethical Responsibilities of Editors

Editors of IJIDML are responsible for safeguarding the integrity of the scholarly record.

2.1 Editorial Independence

  • Editorial decisions are based solely on scholarly merit, originality, and relevance to the journal’s scope.

  • Decisions are free from commercial, institutional, or personal influence.

2.2 Confidentiality

  • Editors must treat all manuscripts as confidential documents.

  • Information about submissions must not be disclosed except to those involved in the editorial process.

2.3 Conflict of Interest

  • Editors must recuse themselves from handling manuscripts where a conflict of interest exists.

2.4 Ethical Oversight

  • Editors investigate ethical concerns, allegations of misconduct, and complaints in accordance with COPE guidelines.

3. Ethical Responsibilities of Reviewers

Peer reviewers play a crucial role in maintaining the quality and credibility of IJIDML.

3.1 Confidentiality

  • Manuscripts under review must be treated as confidential.

3.2 Objectivity and Constructive Review

  • Reviews should be objective, unbiased, and supported by clear academic reasoning.

  • Personal criticism of authors is inappropriate.

3.3 Timeliness

  • Reviewers should complete reviews within the agreed timeframe or inform the editor of delays.

3.4 Conflict of Interest

  • Reviewers must disclose conflicts of interest and decline review assignments if impartiality cannot be ensured.

4. Publisher’s Responsibilities

The publisher of IJIDML supports ethical publishing practices by:

  • Ensuring editorial independence

  • Supporting transparency in corrections, retractions, and expressions of concern

  • Preserving the long-term accessibility of published content

5. Handling of Misconduct, Retractions, and Corrections

  • Allegations of misconduct (plagiarism, data manipulation, unethical research practices) are investigated thoroughly.

  • If misconduct is confirmed, appropriate actions may include rejection, correction, retraction, or notification of institutions.

  • Retractions and corrections are clearly labeled and linked to the original article.

6. Ethical Compliance Statement

By submitting a manuscript to the International Journal of Intelligent Data and Machine Learning, authors confirm that they have read, understood, and agreed to comply with this Publication Ethics and Malpractice Statement.