Taking you up on your AMA, is there a best practice for discovering datasets belonging to articles and vice-versa? I see that Web of Science has a lot of this but they don't make that linkage explicitly available as an export. I have tried querying isSupplementTo and chasing cited works, and I don't expect a smoking gun.
Just now I tried searching Scholix via the web interface for IDs that are linked in Dryad, which is supposed to use the same linking system, and in either direction came up empty.
TIA for any clues!
Scholix[0] is a collaboration between a few orgs, including Crossref (DOI registration agency for scholarly content, e.g. articles) and DataCite (DOI registration agency for data sets).
If a DataCite member registers a data set, and mentions a link to a Crossref DOI, that's almost certainly a dataset-article link. Vice versa.
So the data in Scholix is the union of "what citations do article publishers and dataset publishers think exist".
We're working on improving how we process the data citation data, but ultimatley can't improve on what Publishers provide.
Sorry, a bit of a non-answer.
The https link doesn't work for me, working link: http://www.scholix.org/
The resolvability of a DOI is obviously important, and you have found a few examples where the steward of the content (ie publisher) hasn’t updated the links. But in that case DOIs can in theory be redirected to archived versions. That's the price you pay for a large, diverse community of publishers. Don't imagine that publishers would magically be any better at fixing their own websites.
But more broadly, as identifiers, having an agreed scheme helps link publications, datasets, other entities such as funders and institutions. It allows discovery of metadata in a way that’s discoverable by all.
Someone will want to follow those links in 100 years and whatever state DNS or WWW is in, the metadata will be in an open archive somewhere.
(I'm at Crossref, AMA)