HAYAO said:
Very nice insight indeed.
I'm from Japan so I don't really know the system in the States, but I certainly agree that the government barely has any contribution to the integrity of scientists. Things have gotten quite strict in Japan since the incident of former Dr, Obokata from RIKEN with her paper in nature that got retracted later for plagiarism, falsification, and some other scientific misconduct.
The thing is, however, that I understand some of her claims and justification. Don't get me wrong, I think she should be punished well and be stripped of her Ph.D. title because she basically fooled everyone in the world ever since her Ph.D. thesis. However, she was pressured quite a lot to produce good results and was somewhat indoctrinated by her superiors to lead to wrong conclusions. More or less, this is actually rather common in Japan.
The thing is, the "seniority" system in Japan is indeed intimidating for some students and lower ranked academic posts and it does encourage some sort of scientific misconduct at certain level of intimidation from their superiors. In fact, academic harassment is so common in Japanese academics that student often find themselves on an edge of a cliff. At this level, I am not surprised that one of these victims will try falsifying data to protect themselves. This is why I think it is full responsibility of the teachers or the superiors to keep this from happening, and should it happen in actuality they are the one that needs to be punished in some way. This is also why I can't necessarily fully blame the students and scientists for their plagiarism in a situation like this because what they need is protection, not punishment. Even the most honest person can do wrong in a extreme situation. There are some fundamental structural issues in Japan that needs to be fixed before we can carry out punishments.
Thanks for your insights and views regarding the situation in Japan. It is hard to suggest that the practical details should be the same in other cultures as in the US. The goals should be the same (scientific honesty), but if the cultures are very different, then the paths and methods might be much different.
In the US, there are occasional claims that pressure to succeed can be blamed for scientific and academic dishonesty. I do not buy that at all. My wife and I have been at top 10 schools, military academies, big state schools, lower tier schools, liberal arts colleges, and high schools. Sure there is pressure to succeed, but nothing that cannot be accomplished with hard work without resorting to dishonesty, cheating, or faking data.
Without fail, instances of cheating and faking data are attributable to several causes:
1. Laziness. Researcher or student procrastinates and then gets squeezed for time. Moral compromise in faking data or other dishonesty originates in desire to take a shortcut.
2. Greed. One scientific outcome is more likely than the others to make a product look good, secure funding, or support desires of an important client. Data failing to support desired outcome is disregarded and/or data supporting desired outcome is fabricated.
3. Power: Desired public policy change. One scientific outcome is more likely than the others to support a desired public policy change. Data failing to support desired change is disregarded and/or data supporting desired policy change is fabricated.
The scientific dishonesty can often be more subtle such as:
A. publishing data agreeing with a model in journals and with press releases, while keeping data in disagreement under wraps or harder to find.
B. publishing data supporting desired policy change (or funding) quickly while delaying data not supporting desired policy change (or funding)
C. careless or willful misuse of sources: making overly broad or different claims than those well supported in citations
D. Focus on one possible causal factor while ignoring other possibilities
E. Confusing failing to find support for a competing hypothesis in an experiment with disproof of that hypothesis
F. Publishing conclusions without a clear path and access to the raw experimental data and analysis that supports those conclusions. Without the data, it is a dishonest appeal to the authors' authority rather than a scientific result.