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Research integrity became a major debated topic in biological sciences after 1970, due to a combination of factors: the development of advanced data analysis methods, the growing commercial relevancy of fundamental research, [7] and the increased focus of federal funding agencies in the context of big science. [8]
Falsification is manipulating research materials, equipment, or processes or changing or omitting data or results such that the research is not accurately represented in the research record. Plagiarism is the appropriation of another person's ideas, processes, results, or words without giving appropriate credit.
Data Colada is also recognized for helping to establish better research practices, such as the sharing of replication data. [ 3 ] The Nobel-prize winning psychologist Daniel Kahneman described Data Colada in 2023 as "heroes of mine" and expressed his regret about previously endorsing research findings that the blog later showed were faulty. [ 2 ]
Intellectual honesty is an applied method of problem solving characterised by a nonpartisan and honest attitude, which can be demonstrated in a number of different ways: One's personal beliefs or politics do not interfere with the pursuit of truth;
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 .
Research integrity or scientific integrity is an aspect of research ethics that deals with best practice or rules of professional practice of scientists.. First introduced in the 19th century by Charles Babbage, the concept of research integrity came to the fore in the late 1970s.
By the end of the 19th century when the goals of the university changed that the concept of academic integrity changed. Academics of this era were required to teach and produce original research. The pressure to acquire tenure and publish added extra stress to their jobs, though acts of academic dishonesty were viewed as acts of follies. Still ...
[2] [3] [4] However, researcher degrees of freedom can lead to data dredging and other questionable research practices where the different interpretations and analyses are taken for granted [5] [6] Their widespread use represents an inherent methodological limitation in scientific research, and contributes to an inflated rate of false-positive ...