Massive brain dump – unanswered questions

1.) SciBarCamb is in two weeks. If you’d like to spend a day-and-a-half meeting interesting people and talking about science in Cambridge for only £10 – sign up .
Ideas for sessions go here
YouTube videos of demos people are bringing along are here
2.) Nature Precedings is closing. I have a manuscript in there, and the archive will stay, so it doesn’t really affect me directly, but it raises many questions that are taking up space in my head that I need for other things, so I thought I’d leave them here as questions, and will think about them later. (Or if you have thoughts, leave a comment – I can’t promise I’ll respond immediately, but I’ll read it.)
To what extent was the NPG brand contributing to people uploading their material? And the fact that it’s indexed in Google scholar? Are FigShare and F1000 Research – the two alternatives for the things that ArXiV doesn’t take – (going to be) indexed in GScholar? Why is Precedings stopping, and what does that mean for the potential for success for those other ventures? Is the fact that preprints can’t be indexed in PubMed (a first stop for searching for most) a limiting factor? Is PubMed’s indexing requirement for journals-with-regularly-published-issues hindering initiatives aimed at storing smaller units of scientific data and preprints?
2b) Following up on that last question, how are people who are used to PubMed as the source of all they need to know going to find info stored in things like FigShare? And other storage places? Should there be a central search place for all those things? How would it work? Would it be curated by researchers, by publishers, by a library or by a company? (People would most trust a library, but companies and some publishers have more money and freedom to set it up.)
3.) Apart from the search questions above – are people going to upload data without the context of a paper at all? Do they need incentives? If uploading data without a paper around it becomes something that counts toward a better chance at funding, would that not eventually lead to mass production of data without particular research questions? Would it make room for people to do research entirely by analyzing data they didn’t produce? A sort of lab-less scientists, a boom of theoretical scientists in all fields? And if, in the future, these lab-less scientists publish insights based on data collected by others, will the people who uploaded data get double the credit? (For uploading, and later for having it used in an academic paper?) And how will funding work if the people who publish the most insightful work never spend any money on experiments, and the people who need the money to sustain the experiments only upload data and never think about it academically? Will science branch out into a non-academic producing form and an academic form?
That’s it. Hope that means I can stop thinking about all this while I’m supposed to be doing other things.