Again, I'd be pleased to be wrong about this, and hope the project succeeds, but it's not the approach I'd personally bet on.
None of the problems I'm talking about are insurmountable, but it does seem like it will be a continual source of inefficiency and friction for the lifetime of a project like this.
No Digg Deeper questions have been answered for this story yet.
None of the problems I'm talking about are insurmountable, but it does seem like it will be a continual source of inefficiency and friction for the lifetime of a project like this.
Let's take data prep and cleaning for just one example. Every organization contributing data needs to learn how to tackle this problem well and replicate efforts to do it themselves so that they can make high quality contributions. That seems inefficient.