Recently, Some high- profile journals retracted some papers because the authors failed to send the data set they used to these journals. It is obvious now that some scholars use fake data set ( or they create that data set by themselves on e.g. SPSS) in order to publish more articles. My question is: How can journals make sure that the data set is original and it was really collected by researchers or their team members?
Firstly, I agree with my colleague Dr.Chalamalla, I think it depends on the nominated reviewer experience in his field of knowledge.
Regards, Emad
Dear Belal,
Such instances are rare but happens. The authors giving fake data think that they are very smart. Believe me, these authors are immediately caught in the hands of the experts, may be working in another corner of the world. They should be immediately exposed through publications.
Read the books reviews in your field published in reputed journals. You will surely notice one or two such smart authors!
It is really very difficult for the journal editors to detect the fake data unless the reviewers catch the authors, as pointed out by Emad..
A very nice paper shared by @Chalamala Srinivas ! Very helpful !
Thanks for sharing.
An expert reviewer can know such fabricated data set. But sadly every now and then people are using wrong data set to publish articles.. this is like a cancer to the scientific temper and more and more people are objecting these ... These so called laptop scientists generate data set and get them published. But I feel it's difficult to know the fake data but there must b some way to detect these ..
Dear Partha Sarathi Swain,
Thanks for your answer. As you said, it is difficult to know if the data set is genuine or fake. In my opinion, journals should utilize new technologies to help them not accepting articles with fake data set
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