Paper: The FAIR Cookbook - the essential resource for and by FAIR doers

I think that if you want to make your knowledge FAIR, you should use an open license and RDF. Simple. Now, not everything is knowledge. A lot of data is, but a lot more is not, think raw data. Using RDF to explain a protein sequence is still something that makes me feel uneasy. 1 minute read

CiTO updates #4: annotations in datasets

Okay, the Pilot is over ending with 17 papers, 16 of which have CiTO annotations (and so far 4 J.Cheminform. papers after the pilot), but my interest in the Citation Typing Ontology continues and we just need more adoption. 3 minute read

Scholia timeline

Sometimes I think back about how Scholia started, and then I think I remember a Twitter discussion. Twitter was a social platform that was unable to fight hate speech. I left it last year in favor of Mastodon. 1 minute read

Finding Mastodon accounts with Wikidata (a few SPARQL queries)

There are multiple initiatives to support the migration from Twitter to Mastodon (see also this blog post ). But Wikidata should not be forgotten here which has been tracking Mastodon accounts of things in their database: less than 1 minute read

Wikidata script for SMILES, SMARTS, and CXSMILES depiction

In August I reported about 2D depiction of (CX)SMILES in Wikidata via linkouts (going back to 2017). Based on a script by Magnus Manske, I wrote a Wikidata gadget that uses the same CDK Depict (VHP4Safety mirror) to depict the 2D structure in Wikidata itself: less than 1 minute read

s/Twitter/Mastodon/g

Yeah, it has been hard to miss it (see e.g. Should I join Mastodon? A scientists’ guide to Twitter’s rival). Twitter is experiencing some turbulence and Mastodon has become a very attractive, open source, community-driven, inclusive alternative. It’s been around since 2016 and there is some research literature about it already. I got my account in 2018, but did not start actively using it until earlier this year. 1 minute read

Is your research cited by a Nobel prize winner?

Forget the journal impact factor and the H-index. You want your research being used. A first approximation of that is getting cited, sure. So, with the Nobel Prize week over (congrats to all winners! the Neanderthaler prize actually helped my work in Maastricht this week), let’s figure out of you are cited by a Nobel Prize winner. Wikidata allows us to figure this out with a SPARQL query (created together with Adriano): 1 minute read