The following is a guest post by Bob Mesibov. The Atlas of Living Australia (ALA) adds "assertions" to Darwin Core occurrence records.

Motivated by the 2020 Ebbe Nielsen Challenge I've put together an interactive DNA barcode browser. The app is live at https://dna-barcode-browser.herokuapp.com. A naturalist from the 19th century would find little in GBIF that they weren’t familiar with. We have species in a Linnean hierarchy, their distributions plotted on a map.

[Work in progress] The "dummy" in this case is me. I'm trying to make sense of how to model taxa, especially in the context of linked data, and projects such as Wikidata where there is uncertainty over just what a taxon in Wikidata actually represents. There is also ongoing work by the TDWG Taxon Names and Concepts Interest Group. This is all very rough and I'm still working on this, but here goes.

This morning, as part of a webinar on persistent identifiers, I gave a live demo of a little toy to demonstrate linking together museum and herbaria specimens with publications that use those specimens. A video of an earlier run through of the demo appears below, for background on this demo see Diddling with semantic data: linking natural history collections to the scientific literature.

The following is a guest post by Bob Mesibov. The first Darwin Core Million closed on 31 March with no winner. Since I'm seeing better datasets this year in my auditing work for Pensoft, I've decided to run the competition every six months. Missed the first Darwin Core Million and don't know what it's about?

So this happened: Zootaxa is a hugely important journal in animal taxonomy: On one hand one could argue that impact factor is a bad way to measure academic impact, so it's tempting to say this simply reflects a poor metric that is controlled by a commercial company using data that is not open.

Garnett et al. recently published a paper in PLoS Biology that starts with the sentence "Lists of species matter": This paper (one of a forthcoming series) is pretty much the kind of paper I try and avoid reading.

A couple of weeks ago I was grumpy on the Internet (no, really) and complained about museum websites and how their pages often lacked vital metadata tags (such as rel=canonical or Facebook Open Graph tags). This got a response: Vince's lovely line "diddle with semantic data" is the inspiration for the title of this post, in which I describe a tool to display links across datasets, such as museum specimens and scientific publications.

These are simply notes to myself about taxonomic classifications in Wikidata. Classifications in Wikidata can be complex and are often not trees. For example, if we trace the parents of the frog family Leptodactylidae back we get a graph like this: Each oval represents a taxon in Wikidata, and each arrow connects a taxon to its parent(s) in Wikidata.

Given my renewed enthusiasm for Wikidata, I'm trying to get my head around the way that Wikidata models biological taxonomy. As a first pass, here's a diagram of the properties linked to a taxonomic name. The model is fairly comprehensive, it includes relationships between names (e.g, basionym, protonym, replacement), between taxa (e.g., parent taxon), and links to the literature.