Research Misconduct

Fabrication, falsification, plagiarism

Research misconduct is defined by three core categories: fabrication (inventing data or results), falsification (manipulating data, equipment, or findings), and plagiarism (appropriating others' work without credit), collectively known as FFP. These acts undermine the trust and reproducibility on which science depends and carry severe consequences including retractions, loss of funding, and ended careers. Research misconduct is explicitly distinguished from honest error and legitimate differences of scientific interpretation.

Definition of the Concept

Research misconduct is widely defined through the FFP framework. Fabrication is the recording or reporting of data, results, or experiments that never took place. Falsification involves manipulating research materials, equipment, or processes — or changing and omitting data — so that the research record does not accurately reflect the findings. Plagiarism is the appropriation of another person's ideas, text, data, or results without attribution. These three acts are distinguished from honest error or legitimate methodological disagreement by the presence of intent and a clear violation of scientific integrity norms.

Main Types and How They Occur

Fabrication appears in acts such as recording participant data that was never collected or adding non-existent laboratory measurements to a dataset. Falsification covers a broad spectrum: excluding non-significant results, retouching images deceptively, or stopping an analysis once results look favorable. Plagiarism ranges from direct copy-paste of text to unattributed borrowing of ideas, and extends to self-plagiarism — reusing one's own previously published work without disclosure. The proliferation of digital tools has simultaneously made some forms of misconduct easier to commit and easier to detect through systems such as iThenticate and Turnitin.

Concrete Example: Falsification Through Selective Reporting

Consider a researcher testing the efficacy of a drug. Seven of ten measurements do not support the hypothesis, but only the three supportive ones are reported. This selective reporting falsifies the scientific record without altering the raw data and is a clear instance of falsification. Similarly, a researcher who incorporates paragraphs from a conference paper into a journal article without disclosure commits self-plagiarism. These examples illustrate that misconduct need not take a dramatic form — it can arise from choices that appear minor but systematically distort the body of scientific knowledge.

Common Misconceptions and Prevention

A common misconception is that research misconduct refers only to dramatic fraud cases; in reality, small-scale data manipulation constitutes the same ethical violation. Justifications such as 'everyone does it' or 'the results would have been the same anyway' are not accepted as mitigating factors. Prevention relies on open-science practices (raw data sharing, pre-registration of studies), institutional research integrity training, and independent data verification procedures. Many institutions maintain independent integrity committees to investigate reported cases, and serious violations are reported to national funding agencies or journal editors, often resulting in retraction.

Key terms

Fabrication: Recording or reporting data or experiments that never took place.
Falsification: Manipulating or selectively omitting data, materials, or processes to misrepresent the scientific record.
Plagiarism: Appropriating another person's ideas, text, or findings without attribution.
Self-Plagiarism: Reusing one's own previously published work without disclosure or citation.
Research Integrity: The standard of scientific practice grounded in honesty, transparency, and accountability.