I think this concept has far reaching effects on optimizing white collar operations if you're able create social features based on the data.
I'd want to know who else in the company is using this data? Who has used it on the past? Have they done work that is similar or even a duplication of the work I'm doing?
These information management issues are currently hidden, but result in lost productivity. Just this past month my friend at Google found out another person had already done his analysis and he could learn from the previous work. Just knowing someone had previously used the same dataset could have saved him 7 weeks of work.
> Just knowing someone had previously used the same dataset could have saved him 7 weeks of work.
Information about data is not black-and-white in the corporate world. Even in the same company, internal data is usually on a need-to-know basis, with necessary NDAs. A service that tells you who else is using the data would defeat the purpose.
As an extreme example, what would happen if a service allowed data-sociality with HIPPA-protected data? Not good things.
> internal data is usually on a need-to-know basis, with necessary NDAs
I'd argue that we're in the "unknown unknowns" territory, rather than NDAs being the blocker.
In a company of any significant size, Joe over in Finance is hacking away at a spreadsheet utterly and blissfully unaware that Susan in Corporate would gladly chop her left arm off for the data he's producing.
I don't think open access lists for HIPAA data would be a bad thing. Why do you? In fact, it sounds like a great idea. Shine some light on who is accessing what data.
The fact that a certain specialist has accessed a patient's records would reveal something about their health. Even the frequency of general access conveys information about your health.
I'd want to know who else in the company is using this data? Who has used it on the past? Have they done work that is similar or even a duplication of the work I'm doing?
These information management issues are currently hidden, but result in lost productivity. Just this past month my friend at Google found out another person had already done his analysis and he could learn from the previous work. Just knowing someone had previously used the same dataset could have saved him 7 weeks of work.