Today’s short post is about three SPARQL queries I wrote to get bibliometric information about journals and publishers out of Wikidata. Each of the following queries can be readily copy-pasted into the Wikidata Query Service and run in the browser.

I was recently nominated for the International Society for Biocuration’s Excellence in Biocuration Early Career Award (results will be announced on June 14 ^th !). This made me curious about how to model nominations and awards on Wikidata. In this post, I’ll describe how to curate awards, nominations, recipients, and how to make SPARQL queries to get them.

Archival Resource Keys (ARKs) are flavor of persistent identifiers like DOIs, URNs, and Handles that have the benefit of being free, flexible with what metadata gets attached, and natively able to resolve to web pages. Name-to-Thing (N2T) implements a resolver for a variety of ARKs, so this blog post is about how that resolver can be re-implemented with the curies Python package. In a lot of ways, ARKs look and act like CURIEs.

This blog is normally about very serious science , but I’m taking a break from that for the evening to advertize my band’s upcoming show on April 8 ^th in the SPH Music Masters Finale (aka, the German Battle of the Bands). We need your support!

Several controlled vocabularies and ontologies that aren’t themselves OBO Foundry ontologies use unsanctioned OBO PURLs. This post is about how to use the Bioregistry to identify which resources are doing this and to give some insight into how we arrived in this situation. Background on the OBO Foundry The OBO Foundry is a set of independent, interoperable biomedical ontologies that aspire to using shared development principles.