What's your opinion on this question? I have MSc in Computer Science (spec. in Natural Language Processing) so I don't need any materials to work with that I can not get by myself. My fears of going into funded PhD is that I would be forced to publish papers that does not scientifically matter or have any impact. I've asked several scientists and they claim that it is called the "salami" effect where instead of publishing one good paper you publish multiple small ones (hence cutting the salami) mainly because the funding body puts pressure on you.
Personally, I would not like to spend 3-4 years doing this but at the same time I am not sure how serious the academic community will take my work. Also, funding my self would probably mean that I have to apply some of my research ideas in bussiness context. I am aware that there is possibility of me submitting research proposal but still I am afraid that some of my ideas will be rejected or stolen.
I've also heard that PhD is not about ideas and it's more about learning to become independent researcher. For some reason, this seems like a very discouraging statement since it lowers the bar about one having higher success with research during his/her PhD studies. I don't think I need this since I've already worked independently for my MSc, albeit I was not 100% satisfied with my results.
By my own research idea, I mean that I have an idea where my research field could be improved and I am curious about whether it will work or not. I have also done some research during my MSc in that particular field. Currently the idea is bit broad and lacks scientific rigour and is not formally defined. To do this, probably it would take me a bit more time to dive deep into the mathematics and figure it out. The idea can also have practical importance which means the method can be used in a Natural Language Processing app like a chat bot (to improve experience for example)
I would really appreciate your opinion on this matter since signing up for PhD seems like big life investment. Thank you.