The important thing to realise is if another lab makes your science harder to do that's malicious behaviour for all intents and purposes.
I addressed this in a side thread. Solved by preprints in many cases. That's certainly in part observational data vs exp data, like you say.
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I'm for example working on an big open observational dataset, I suppose I can say doing ML in polsci (not my field), and I'm completely
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silent on what I'm doing exactly because it's not written up fully yet. Once it's a preprint with a website etc etc i.e. the project is done
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then I'll discuss freely outside lab.
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At the end of day, like with everything, there's risk. That risk should be minimised but it'll never disappear. Bad actors always exist.
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If fear of being scooped stops you doing good work, that's certainly an indication something is very wrong.
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And by good work I include science communication and networking.
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And by wrong I include misunderstanding the threat and the ways to deal with the threat.
End of conversation
New conversation -
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