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AI Usage Animals in research Attribution Authorship Citation manipulation Clinical trials Conflicts of interest Defamation/libel Editorial independence Fabricated data Appealing Image manipulation Informed consent Plagiarism Redundant publication Simultaneous submissions
 

Policy on fabricated data

JSDIO is committed to publishing research that adheres to high standards of transparency and robustness in the methods used and results presented to support the principle of reproducibility. Authors must not fabricate, falsify, or manipulate data or the results drawn from that data; to do so is fundamentally unethical and a breach of research integrity. Data fabrication involves the creation of fictious research findings; data falsification involves the manipulation of research with the intention of creating a false impression of the study's findings.

The journal may review data or request the original data files for any work either under consideration or published at any time as part of our responsibility to the integrity of the academic record; and we reserve the right to request a dataset at any point as part of an investigation, and will investigate any instances of fraud or malpractice where identified. Authors are therefore expected to present complete and accurate reporting of the underlying data in their submissions to aid the future reproducibility of the work, and to adhere to established scientific best practice by retaining the source material of experiments and research results in an auditable manner that allows for scrutiny and verification. If there is reason to suspect that the data are not plausible, we reserve the right to reject or retract that work, and to notify your institution, as appropriate.

The journal also recognizes that genuine errors can and do occur; when an error is discovered, the author(s) should contact the journal and acknowledge this through appropriate revision or post-publication action.