 | This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these messages)
|
In scientific inquiry and academic research, data fabrication is the intentional misrepresentation of research results. As with other forms of scientific misconduct, it is the intent to deceive that marks fabrication as unethical, and thus different from scientists deceiving themselves. There are many ways data can be fabricated. Experimental data can be fabricated by reporting experiments that were never conducted, and accurate data can be manipulated or misrepresented to suit a desired outcome. One of the biggest problems with this form of scientific fraud is that "university investigations into research misconduct are often inadequate, opaque and poorly conducted. They challenge the idea that institutions can police themselves on research integrity."[1]
Sometimes intentional fabrication can be difficult to distinguish from unintentional academic incompetence or malpractice. Examples of this include the failure to account for measurement error, or the failure to adequately control experiments for any parameters being measured.
Fabrication can also occur in the context of undergraduate or graduate studies wherein a student fabricates a laboratory or homework assignment. Such cheating, when discovered, is usually handled within the institution, and does not become a scandal within the larger academic community (as cheating by students seldom has any academic significance).
- ^ Else, Holly (2019-06-18). "What universities can learn from one of science's biggest frauds". Nature. 570 (7761): 287–288. Bibcode:2019Natur.570..287E. doi:10.1038/d41586-019-01884-2. PMID 31213697.