"6. If data is coming from multiple sources, we really need to understand who owns what, and come up with mechanisms that protect the legitimate rights of individuals and businesses to their own data, while creating the "liquidity" and free movement of data that will fuel the next great revolution in computer functionality.

To which I'll contribute #6.5 (or 8)...

"6.5 If data is coming from multiple sources, we really need mechanisms to quantify and qualify that data. Just basics like (to continue the analogy) Amazon's "X out of Y readers found this review helpfull, did you?" would have to be there for this data to be of any real use, but more complex systems such as /.'s moderation and meta moderation would also be helpful.

If we borrow the public key crypto concept of a "web of trust" and apply it to this meta-data, then there is potential for this to be practically usefull, without everyone having to have huge data mining applications running on their every device. For example, say both Tim and Jon Katz review a book, I'm looking at the book at Amazon, my browser queries what reviews are available, then looks at my trust list. In my personal trust list Tim has 90%, indicating that I think he's cluefull and respectable... Katz is sitting at 0.00% indicating that I think he's a loon not worth listening to. The browser pumps Tim's review up to the top of the list, doesn't even waste my time with Katz' review. Now of course we make that data 2 way... I make my trust list publicly readible... my mother, who wouldn't know either of these folks trusts me 100%, so her browser accepts my opinion of the two and renders both the same as mine does. My wife has told her machine to trust my opinions say 50%... so when she goes to view the book, she'll see Tim's review as if it had 70% trust, and Katz' with 25% (of course she also has Katz at 0%, so it gets averaged back down to 12.5%, or overridden back to 0%... depending on how the web of trust is setup.......)