In academic research, maintaining integrity and transparency is essential. Improper manipulation of data not only violates academic ethics, but may also have a serious negative impact on society and the scientific community. The following are some methods of improper manipulation of data. **Is only used for educational purposes to help identify and avoid these behaviors. ** Will never encourage or support any form of academic misconduct.**. ### 1. **Data tampering** -**Selective reporting**: Only report data that supports hypotheses, while ignoring or hiding data that does not support hypotheses. -**Falsified data**: Completely fabricated data, rather than obtaining real data through experiments or investigations. -**Modify data**: Artificially modify the original data to make it meet the expected results. ### 2. **Manipulation analysis method** -**P-value manipulation**: Pass multiple tests or selectively use statistical methods until significant results are obtained (P-hacking). -**Data segmentation analysis**: Divide the data into multiple subsets for analysis, and only report those subsets that support assumptions. -**Ignore outlier values**: Unreasonably exclude or ignore data points that do not meet expectations to improve statistical results. ### 3. **Experimental design control** -**Selection bias**: When designing experiments, deliberately select samples or conditions that may produce the expected results. -**Repeat the experiment until it is successful**: Repeat the experiment until the expected results are obtained without reporting the failed experiment. ### 4. **Image and data display control** -**Image tampering**: Modify the image through image editing software to make it look more in line with the expected result. -**Selective display**: Only part of the data is displayed in the chart to mislead the reader's interpretation of the results. ### 5. **Citation and document manipulation** -**Selective citation**: Only cite literature that supports one's own point of view, while ignoring or belittling research that does not support one's own point of view. -**Forged citations**: Cite non-existent literature or misquote literature to enhance the credibility of one's own research. ### 6. **Explanation of results.** -**Exaggerate conclusions**: Exaggerate limited or uncertain results into conclusions of broad significance. -**Ignore limitations**: Do not discuss the limitations or potential deviations of the research to enhance the credibility of the research. ### 7. **Cooperation and authorship control** -**Improper attribution**: List people who have not made substantial contributions to the research as authors, or exclude people who have contributed to the research. -**Concealment of conflicts of interest**: Failure to disclose economic or non-economic interests that may affect the results of the research. ### 8. **Repeat publication** -**Self-plagiarism**: Repackage the published research results and publish them as new research. -**Split publication**: Divide the results of a study into multiple papers for publication to increase the number of publications. ### 9. **Data sharing and transparency issues** -**Refusal to share data**: After the paper is published, the original data or research methods are refused, making it impossible for other researchers to verify the results. -**Opaque data processing**: The steps of data processing and analysis are not described in detail, making it impossible for others to reproduce the research. ### 10. **Peer review control** -**Manipulate the review process**: Influence the peer review process through improper means, such as recommending reviewers who are friendly to you or interfering with the review opinions. -**Falsification of review opinions**: Falsification or tampering with peer-reviewed opinions to speed up the publication of the paper or improve its credibility. ### Conclusion The core of academic research lies in the pursuit of truth and knowledge. Any form of data manipulation is a betrayal of the spirit of science. Identifying and avoiding these improper behaviors will not only help maintain the integrity of academia, but also ensure the authenticity and reliability of research results. We should always adhere to academic ethics and conduct research and publish results in a responsible manner. If you have more questions about how to avoid these inappropriate behaviors, or need further guidance, please feel free to contact your tutor or the Academic Ethics Committee.