We now know that is how important it is to publish research data. The problem: There is not always something to publish. What can you do?
is very popular with the so-called "Scoop". Here, the results of a competition laboratories nachgekocht simple and yet published of him. to get to the data is not a problem, there is once in a conference at which the current state of research is presented. Two of my friends were already gescoopt, an acquaintance who has experienced this very stark: The laboratory in which he had applied for a job, has repeated the contents of his lecture, ice cold and published before it.
Here I have to make a little detour and - as already announced - signed by the Chinese. Who want to get on the floor just extremly unpopular. It starts with the fact that they compete with incredible resumes. Just finished working with the master and only four publications, x techniques which they have a blablabla. On site, the prodigies turn out then as a joke, even the simplest of hand grips must explain to them (even worse, you say it could and try trial and error now just need a 400,000 € microscope to be repaired because such a fool.. ). Which, of course, sooner or later leads to the question: How can anything ever published? Or is the Wang-Wing Wong on the CV, the same Wong on the publication. This question is now better than many people . Result: Two were fired last year. The last thing I heard is that the one her former Laboratory as a Chinese-vilified enemies.
The absolute ultimate in filth numbers is the falsification of data. How easy to be successful has already shown my compatriot Hwang (The clone type). And there are plenty of students who work out of fear and pressure to succeed like to use Photoshop. Most of the time going to go back, but with a little Fortunately, one is a already a step ahead on the career ladder. The above-mentioned Chinese ("Chinese hostile to Labor") has provided data that were so incredibly clear that immediately came on all the alarm bells. Especially since everyone knew that they can NIX. Linda Buck, a Nobel Prize winner, had to withdraw a recent article, because it describes the results were reproducible. Debt was (supposedly) the first author, the case is under investigation.
circulating since ages in Basel, the story of a Chinese chemistry graduate students. His supervisor called him into the office one day and said something like, "Dude, your data is the hammer. This is almost too good to to be true. Let us sit together tomorrow and all-time check. Maybe we'll find somewhere a mistake. "Nodded the PhD student, went home and never returned to the laboratory. No idea whether the story is true. But still somehow cool.
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