Incidentally, what is the open source alternative of this? Data is so cheap that it should be actually free, unlike counterfeit nike shoes.
(Does a bittorrent tracker specifically for research data exist? Edit: there's http://academictorrents.com/)
Incidentally, what is the open source alternative of this? Data is so cheap that it should be actually free, unlike counterfeit nike shoes.
(Does a bittorrent tracker specifically for research data exist? Edit: there's http://academictorrents.com/)
There are many public-domain datasets:
* https://aws.amazon.com/opendata/public-datasets/
* https://cloud.google.com/public-datasets/
* https://github.com/awesomedata/awesome-public-datasets
> Data is so cheap that it should be actually free
I feel like you haven't had the opportunity to work with data that has value.
Data vendors sell valuable data all the time to essentially anyone who is willing to pay their asking price. I don't see how this is any different? Just because aws is trying to run a marketplace doesn't suddenly make the data "public" in an open/free sense, there's still a price tag attached to it.
> and, like nike, won't be selling itself on amazon
Not every data vendor (or retailer since you keep bringing up Nike) has the necessary brand recognition, marketing budget, or technical proficiency to only sell direct to customers: that's why centralized marketplaces and alternate distribution channels exist.
if it s truly valuabe it isn't sold to 'essentially anyone'. like high value financial info or security.
That's how data companies make money, by doing that work for you.
I feel like you haven't had the opportunity to work with data that has value.
It will be a very busy, but lucrative time for corporate law firms as they battle things out.
Data that has an useful business or predictive purpose that is clean and constantly updated is not cheap at all.
Getting data is not cheap, and maintaining a dataset is certainly not cheep either.
This really depends on the data. In pharma the right 50 bytes of data can be worth billions. Not all data is personal product preferences for add targeting.