Re: [dxwg] Model Series of Data as Distributions of a single Dataset (#1429)

I think @makxdekkers suggestion is on the right track, recognizing that there are (in this case) two kinds of datasets: 
1.  Static datasets that do not change after publication, e.g. results of chemical analyses, a set of observation data at a particular place and time.
2. 'Series'-- dynamic datasets that grow incrementally in space or time.  E.g. as series of geologic maps that add new map sheets periodically, a time series of groundwater levels for a well, statistics for a survey that is repeated monthly...

KInds of distributions:
1. download a file. Data content has a fixed spatial, temporal, thematic extent and schema scope. These might be static datasets (sense 1 above) or snapshots of particular extents in a 'series' (sense 2 abvoe0
2. download subset of a file or series: data is large, or updated at some interval. Distribution interface provides options to subset data thematically, spatially, temporally, or schematically (choose fields).The source might be a single large static file, or a dynamically updated series.

What is a 'seriesItem'; I'd propose this a static snapshot file from a dynamic series (case 1 + 1 above))
The analog for a static dataset would be a 'filtered subset'

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Received on Monday, 22 November 2021 20:00:00 UTC