Existing open data portals are focused on views of single data sets in the browser. This is great until you need to do deep analysis or build a business on it.
Downloading big datasets can take hours. It can take many more hours finding the location of important small datasets, especially those not living on the same portal. Add in a few more hours to load everything into a real database and figure out the relations, and you've spent days (or thousands of dollars) on something trivial.
It doesn’t have to be this hard.
Because Docker for Data archives the extracted data sets, it functions as a repository for usable open data. On Docker, you can find: