Quick note to express my delight and surprise that my entry for the 2018 GBIF Ebbe Nielsen Challenge come in joint first! My entry was Ozymandias - a biodiversity knowledge graph which built upon data from sources such as ALA, AFD, BioStor, CrossRef, ORCID), Wikispecies, and BLR.

The following is a guest post by Bob Mesibov. In 2005, GBIF released Arthur Chapman's Principles of Data Quality and Principles and Methods of Data Cleaning: Primary Species and Species-Occurrence Data as freely available electronic publications. Their impact on museums and herbaria has been minimal.

I've submitted an entry for the 2018 GBIF Ebbe Nielsen Challenge. It's a couple of weeks before the deadline but I will be away then so have decided to submit early. My entry is Ozymandias - a biodiversity knowledge graph.

I've made a video walkthrough of Ozymandias, which I described in this post. It's a bit, um, long, so I'll need to come up with a shorter version. Ozymandias - a biodiversity knowledge graph from Roderic Page on Vimeo.

In the spirit of release early and release often, here is the first workable version of a biodiversity knowledge graph that I've been working on for Australian animals (for some background on knowledge graphs see Towards a biodiversity knowledge graph now in RIO). The core of this knowledge graph is a classification of animals from the Atlas of Living Australia (ALA) combined with data on taxonomic names and publications from the Australian

Earlier this year I stopped over in Singapore, home of the spectacular "supertrees" in the Garden by the Bay. The trip was a holiday, but I spent a good part of one day visiting Rudolf Meier's group at the National University of Singapore. Chatting with Rudolf was great fun, he's opinionated and not afraid to share those opinions with anyone who will listen. Belatedly I've finally written up some of the topics we discussed.

GBIF has reached 1 billion occurrences which is, of course, something to celebrate: An achievement on this scale represents a lot of work by many people over many years, years spent developing simple standards for sharing data, agreeing that sharing is a good thing in the first place, tools to enable sharing, and a place to aggregate all that shared data (GBIF). So, I asked a question: My point is not to do this: Rather it is to

I've written a short paper entitled "Liberating links between datasets using lightweight data publishing: an example using plant names and the taxonomic literature" (phew) and put a preprint on bioRxiv (https://doi.org/10.1101/343996) while I figure out where to publish it. Here's the abstract: In some ways the paper is simply a record of me trying to figure out how to publish a project that I've been working on for several years, namely

First off, let me say that what follows is a lot of arm waving to try and obscure how little I understand what I'm talking about. I'm going to sketch out what I think is a "radical" idea for a GBIF Challenge entry. The motivation for this idea comes from several sources: 1. GBIF is (under-)funded by direct contributions from governments, hence each year it essentially "begs" for money.

David Shorthouse (@dpsspiders) makes some very cool things, and his latest project World Taxonomists & Systematists is a great example of using automation to assemble a list of the world's taxonomists and systematists. The project uses ORCID.