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A lot of the discussion here seems to be about the methodology and value of the "synthetic data" concept, and squaring that approach with the analogy to github.
by wiremine 7y ago
A lot of the discussion here seems to be about the methodology and value of the "synthetic data" concept, and squaring that approach with the analogy to github.
It feels like we can tease those two things apart:
1. Is a github-style website/service of forkable data sets useful?
2. Are anonymized, synthetic versions of those data sets, created via ML, useful?
Feels like the answer to both is "yes"?
(Also makes me wonder if there's a "rebase" equivalent for data in this sort of world...)
- justinclift 7y ago> 1. Is a github-style website/service of forkable data sets useful? Depends on the specifics, but it can be. I've been working on and off on getting a GitHub style data thing going (https://dbhub.io https://dbhub.io). It's still a work-in-progress, and I really need to get the data visualisation piece working, which is a pretty key feature and lousy to not have. ;)