- From: Stephen Richard via GitHub <sysbot+gh@w3.org>
- Date: Tue, 23 Nov 2021 18:51:47 +0000
- To: public-dxwg-wg@w3.org
One approach is to factor 'conformsTo' along two axes: 1. the content axis-- what are the properties that are specified with values in the dataset representation. I. e. what are the conceptual properties that are quantified for data instances in the described data. These have granularity-- e.g. 'air temperature', 'air temperature 6 m above surface', 'air temperature 6 m above surface measured by procedure Y (10 min time average)' 2. how are the values represented-- string? controlled vocabulary?, units of measure? Integer?, decimal?, time series (station, time), binary grid (X, Y, [Z], Time). A data interchange profile might specify one or both of these, and that is useful for clients recognizing the profile URI. The content axis is probably more useful in a general discovery scenario; the representation details are critical for machine interoperability. Explicit enumeration of the the properties that are quantified for data instances in the dataset (e.g. schema.org variableMesured) are probably most useful for data discovery. -- GitHub Notification of comment by smrgeoinfo Please view or discuss this issue at https://github.com/w3c/dxwg/issues/1426#issuecomment-977011806 using your GitHub account -- Sent via github-notify-ml as configured in https://github.com/w3c/github-notify-ml-config
Received on Tuesday, 23 November 2021 18:51:49 UTC