Dividing up ideas/projects

I have done research with unique datasets.  Often with such samples, there are many different questions you can ask.  I have had very little success taking the dataset and simultaneously working on multiple problems, instead I find working serially more productive.  There aren’t many times I have seen ‘splitting up’ samples or ideas end up working well.

My impression is that isn’t true in other fields, such as those with big labs.  I wonder what the difference is?


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