Firstly, what is BuzzData? Functionally, it supports the following features:
- creating identity: a user has a profile, etc. with all the normal social capabilities between objects in the BuzzData universe (following people, following data)
- uploading data: as per other data markets, BuzzData permits the uploading of data files
- associating objects with data: these can be visualizations (note that it doesn't provide its own visualization technology) or articles (discovered online, relating to the data set in question)
- searching for data sets: the usual keyword interaction
This set of functionality supports an ecosystem intended to snowball value on to data sets. Users follow datasets, users currate the data (e.g. I find a visualization of a data set and share it). I can comment on data sets, etc. Like any ecological system, one has to figure one of two strategies. You either have to provide value to individual users independent of the design ecosystem (this was exactly the clever part of delicious. It was useful to the user for bookmarking even without all the social effects of discovery and sharing) or you have to ensure there is not a cold start issue (in the case of BuzzData, this would mean that the site was already rich with data sets).
Independent of what the use-cases, persona or other design intentions of the site are, I'm not sure that BuzzData has yet solved the initial conditions in either of the two ways described above. It doesn't have the data coverage of other sites like timetric, ZanRan or d8taplex, yet it doesn't provide data tools such as visualization or statistical analytics or manipulation. However, perhaps this points to the intended value proposition of the site - bringing social to data. It is the user base that provides both of these (or will if things turn out right). That being the case, the data priming challenge is perhaps where the company needs to focus.
Overall, I like the design principles and implementation of the site. True, there are some beta (and alpha) level bugs (I'm having trouble loading up a small data set right now), but that is not exceptional in the highly iterative web application world.
It is going to be very interesting to see how the site grows and evolves as a consequence. Is it a commercial version of IBM's Many Eyes? A twist on DataMarket or InfoChimps? A reimplentation of Swivels (the YouTube of data)?