"Our aim was to highlight that, in a few minutes, you can create a data set that is not supported by real original data, and it is also opposite or in the other direction compared to the evidence that are available," says study co-author Giuseppe Giannaccare.
"It will make it very easy for any researcher or group of researchers to create fake measurements on non-existent patients, fake answers to questionnaires, or to generate a large data set on animal experiments," says Elisabeth Bik, a research-integrity consultant.
The data failed authenticity checks, and contained telltale signs of having been fabricated.
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