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

From: makxdekkers via GitHub <sysbot+gh@w3.org>
Date: Mon, 06 Dec 2021 18:47:32 +0000
To: public-dxwg-wg@w3.org
Message-ID: <issue_comment.created-987060454-1638816446-sysbot+gh@w3.org>
@matthiaspalmer Thanks for the detailed information of your solution. 

Not questioning at all that this approach fits your needs and the needs of your data providers, I am still a bit uneasy about all the different variants. Section [12.3](https://w3c.github.io/dxwg/dcat/#dataset-series-before-dcat3) in DCAT3 mentions two 'legacy' approaches:

1. The dataset series is typed as a `dcat:Dataset`, whereas its child datasets are typed as `dcat:Distribution`'s.
2. Both the dataset series and its child datasets are typed as a `dcat:Dataset`'s, and the two are usually linked by using the [DCTERMS] properties `dcterms:hasPart` / `dcterms:isPartOf`.

You now outline yet another approach. 

One of the main problems I see with all these different solutions is that, while they obviously make absolute sense for data providers in a particular environment, it makes it very hard for data consumers to understand what is happening. It seems to me that a data harvester needs to program quite a bit of logic to process these various approaches, and then still needs to do something smart to present data from various source in a coherent way.

As far as I see it, the approach with dcat:DataSeries tries to create a more coherent and widely interoperable approach so that life becomes a lot easier for data consumers.

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