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Although plagiarism in some contexts is considered theft or stealing, the concept does not exist in a legal sense. The use of someone else's work in order to gain academic credit may however meet some legal definitions of fraud. [27] "Plagiarism" specifically is not mentioned in any current statute, either criminal or civil.
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. One form is the appropriation of ...
In Denmark, scientific misconduct is defined as "intention[al] negligence leading to fabrication of the scientific message or a false credit or emphasis given to a scientist", and in Sweden as "intention[al] distortion of the research process by fabrication of data, text, hypothesis, or methods from another researcher's manuscript form or ...
Plagiarism is taking credit for someone else's writing as your own, including their language and ideas, without providing adequate credit. [1] The University of Cambridge defines plagiarism as: "submitting as one's own work, irrespective of intent to deceive, that which derives in part or in its entirety from the work of others without due acknowledgement."
An increasing amount of research is performed on methods and systems capable of detecting translated plagiarism. Currently, cross-language plagiarism detection (CLPD) is not viewed as a mature technology [44] and respective systems have not been able to achieve satisfying detection results in practice. [41]
In the Reflections on the Decline of Science in England, and on Some of its Causes, first published in 1830, Babbage identified four classes of scientific frauds, [6] from outright forgery to varied degrees of arrangements and cooking of the data or the methods. Research integrity became a major debated topic in biological sciences after 1970 ...
Citation-based plagiarism detection (CbPD) [36] relies on citation analysis, and is the only approach to plagiarism detection that does not rely on the textual similarity. [37] CbPD examines the citation and reference information in texts to identify similar patterns in the citation sequences. As such, this approach is suitable for scientific ...
The sharing of research outputs is covered by three standards of the TOPs guidelines: on Data transparency (2), Analytic/code methods transparency (3) and Research materials transparency (4). All the relevant data, code and research materials are to be stored on a "trusted repository" and all analysis being already reproduced independently ...
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