- From: Annette Greiner via GitHub <sysbot+gh@w3.org>
- Date: Mon, 20 Apr 2020 16:56:38 +0000
- To: public-dxwg-wg@w3.org
I think there are really two questions underlying this issue. One is the one Simon has posed, whether we should widen the scope of DCAT to things that are not data but seem to be usefully described by DCAT. (I think designing the vocabulary for that would be a mistake, as it would dilute its usefulness for data and lead us into trying to address an unbounded list of possible use cases.) The other is how broadly we welcome datasets that are not traditional ones. I have been thinking lately that we should begin to think about how to address machine learning datasets, so that would include images for sure, text corpora, possibly software, but I would only want to include these things when their intended purpose is use *as data*. The U.S. Dept. of Energy is now in the midst of a call for proposals about making data for artificial intelligence FAIR. I think that will generate a whole set of use cases that we should consider. -- GitHub Notification of comment by agreiner Please view or discuss this issue at https://github.com/w3c/dxwg/issues/1235#issuecomment-616682355 using your GitHub account
Received on Monday, 20 April 2020 16:56:41 UTC