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Re: [dxwg] Distribution composed of more than one file, but not packaged (#482)

From: Alejandra Gonzalez-Beltran via GitHub <sysbot+gh@w3.org>
Date: Tue, 05 Mar 2019 20:52:35 +0000
To: public-dxwg-wg@w3.org
Message-ID: <issue_comment.created-469852526-1551819154-sysbot+gh@w3.org>
Further to @makxdekkers' comment, indeed by saying that distributions don't need to be strictly fully informationally equivalent, we don't mean that they can hold totally different data (and I am not talking about the data type as in @agreiner's example of log files, but about the data itself). So, in your use case @agreiner, those would be different datasets and not different distributions of the same dataset.

The ED currently states:

```In some cases all distributions of a dataset will be fully informationally equivalent, in the sense that lossless transformations between the representations are possible. An example would be different serializations of an RDF graph using RDF/XML, Turtle, N3, JSON-LD. However, in other cases the distributions might have different levels of fidelity to the underlying data. For example, a graphical representation alongside a CSV file. The question of whether different representations can be understood to be distributions of the same dataset is use-case specific, so the judgement is the responsibility of the provider.```

In my opinion, that text clarifies the points we made a few times in this discussion. The example given about a CSV vile and a graphical representation shows that in terms of the information they convey, different representations may not be identical in information, but we are not implying that the can be totally different.

@agreiner do you think we need to add further clarifications on this? If so, can you please suggest some text? Thanks

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Received on Tuesday, 5 March 2019 20:52:42 UTC

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