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Cannot agree more. My experience: 50 to 60% of experiments are collecting data, 20 % doing the actual experiment (data processing) and 20% writing the paper (and going through peer review).


Now think about what "collecting the data" means in the medical field:

- Preparing protocols and getting them through ethical review committees

- Finding suitable patients and getting them on board

- 1 on 1 patient consultations, oftentimes multiple of those for each patient and spread through a few years.

I'd say the balance can easily turn to 90% data collection, 10% everything else in many cases...


I don't see how there's any way 90% of the recognition and reward of published research can go to the data collectors over everybody else combined, even in the cases where data collection is really that onerous.

Which I guess is why all efforts to try to split up the work in a more efficient manner have failed and the current model persists. This means that open academic research effectively remains a cottage industry compared to industrial, military, and other research types that can be kept secret.




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