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

@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]( 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.

GitHub Notification of comment by makxdekkers
Please view or discuss this issue at using your GitHub account

Sent via github-notify-ml as configured in

Received on Monday, 6 December 2021 18:47:34 UTC