1. Generally speaking, if the data fraud is obvious or there are serious logical errors, it is likely to be found in the audit process. In addition, if inappropriate statistical methods or data processing methods are used, the results may also be questioned to further investigate the authenticity of the data.
2. However, it should be noted that due to the large number of undergraduate papers, the review process may be relatively loose, so all data fraud cannot be detected. In addition, some data fraud may be relatively hidden and difficult to detect by conventional means.
3. However, data fraud is a serious academic misconduct, which will have a long-term negative impact on personal reputation and academic career. Therefore, it is strongly recommended that students adhere to academic integrity when writing papers and avoid any form of data fraud.