Being published in a peer-reviewed journal is an essential part of every researcher’s career. Benefits to you as the author (and to your funder and institution) come from the work that is done to make sure that every article adheres to certain standards. For example, researchers must report their work accurately so that other people can make use of it and apply it.
Every author listed on a journal article should have made a significant contribution to the work reported. This could be in terms of research conception or design, or acquisition of data, or the analysis and interpretation of data. As an author or co-author, you share responsibility and accountability for the content of your article.
Self-plagiarism is the redundant reuse of your own work, usually without proper citation. It creates repetition in the academic literature and can skew meta-analyses if you publish the same sets of data multiple times as “new” data. Therefore, if you’re discussing your own previous work, make sure you cite it.
Taylor & Francis uses CrossCheck to screen for unoriginal material. Authors submitting to a Taylor & Francis journal should be aware that their paper may be submitted to CrossCheck at any point during the peer-review or production process.
Any allegations of plagiarism or self-plagiarism made to a journal will be investigated by the editor of the journal and Taylor & Francis. If the allegations appear to be founded, we will then contact all named authors of the paper and request an explanation of the overlapping material. We may ask Journal Editorial Board members to assist in further evaluation of the paper and allegations. If the explanation is not satisfactory we will reject the submission. We may also choose not accept future submissions.
It is essential that all data is accurate, and representative of your research. Data sharing is more and more prevalent, increasing the transparency of raw data. Some journals request that you upload raw data as a supplemental file for publication (you can check the instruction for authors to see if this is the case on the journal you are submitting to). Some journals and platforms such as F1000Research advocate a more progressive open data policy, requiring the raw data underlying an article to be openly available, so it’s crucial to be aware of this when submitting your work.
Cases of data fabrication/falsification will be evaluated by the editor of the journal and Taylor & Francis. We may then ask authors to provide supporting raw data where required. We may also ask Journal Editorial Board members to assist in further evaluation of the paper and allegations. If the explanation is not satisfactory we will reject the submission. We may also choose not accept future submissions.
Case 4: Competing interests
It is very important to be honest about any competing interests, whether sources of research funding, direct or indirect financial support, supply of equipment or materials, or other support.
For some areas of research, such as medicine, evidence of ethical approval needs to be provided before the journal will publish the research. Always check the journal’s instructions for authors for information about proof of ethics approval.
If an author does not declare a competing interest to the journal upon submission, or during review, and it affects the actual or potential interpretation of the results, the paper may be rejected or retracted.
Ready to submit your paper? Your ethics checklist
Before you submit, make sure you’ve:
Read the journal’s instructions for authors, and checked and followed any instructions regarding data sets, ethics approval, or statements.
Named all authors on the paper, and the online submission form.
Referenced all material in the text clearly and thoroughly.
Carefully checked data and included any supplemental data required by the journal.
Declared any relevant competing interests to the journal.
Obtained (written) permission to reuse any figures, tables, and data sets.
Only submitted the paper to one journal at a time.
Finally, notify all the co-authors once you have submitted the paper.