Re: Google search and Datasets

You beat me to it :)

(cc:'ing Natasha Noy who led this work at at Google, and who might not be
able to post to this list directly but I can relay any bounced posts)

I am really happy to see this work launch and am happy to answer any
questions, here or offlist as folk prefer.

Schema.org's dataset vocab is based on the core pattern from the early DCAT
drafts a few years ago (and so shares its strengths and weaknesses). The
Google implementation is based on JSON-LD, RDFa and Microdata embedded in
the main per-dataset pages. While we focussed more on Schema.org there is
some understanding of DCAT too and our support for both will hopefully
evolve with the ecosystem (and updated W3C specs) over time. Other
questions of course loom, e.g. how this relates to markup for fact
checking, or for describing funders and projects, specialist domains (e.g.
bioschemas, ...), or other W3C efforts like Data Cube and CSVW....

Dan

On Wed, 5 Sep 2018, 19:38 Annette Greiner, <amgreiner@lbl.gov> wrote:

> I noticed their developer guide says "We can understand structured data in
> Web pages about datasets, using either schema.org Dataset markup
> <http://schema.org/Dataset>, or equivalent structures represented in W3C
> <http://www.w3.org/>'s Data Catalog Vocabulary (DCAT) format
> <https://www.w3.org/TR/vocab-dcat/>." :)
>
> -Annette
>
> On 9/5/18 11:16 AM, Karen Coyle wrote:
>
> "Making it easier to find datasets" at the Google Blog:
> https://www.blog.google/products/search/making-it-easier-discover-datasets/
>
> You may already be aware of their developer guide for datasets:
> https://developers.google.com/search/docs/data-types/dataset
>
> which advises the use of schema.org.
>
> Apologies if this is old news to some of you.
>
>
> --
> Annette Greiner
> NERSC Data and Analytics Services
> Lawrence Berkeley National Laboratory
>
>
>