I'm doing some work with Nicole Kearney (@nicolekearney) at the Melbourne Museum on the general theme of "linking all the things". It's the end of the first full week we've had, so here's a quick update of what we've been up to. Brainstorming The things we want to do are being captured as a project on GitHub. This is where we come up with ideas, comment on then, then try to figure out which ones can be done.

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.

I've added an experimental feature to BioStor that uses data from Wikidata and Wikispecies to augment what information BioStor displays on authors.

One of the less glamorous but necessary tasks of data cleaning is mapping "strings to things", that is, taking strings such as "George A. Boulenger" and mapping them to identifiers, such as ISNI: 0000 0001 0888 841X. In case of authors such as George Boulenger, one way to do this would be through Wikipedia, which has entries for many scientists, often linked to identifiers for those people (see the bottom of the Wikipedia page for George A.

I spent last Friday and Saturday at ( Research in the 21st Century: Data, Analytics and Impact , hashtag #ReCon_15) in Edinburgh. Friday 19th was conference day, followed by a hackday at CodeBase. There's a Storify archive of the tweets so you can get a sense of the meeting. Sitting in the audience a few things struck me. No identifier wars, DOIs have won and are everywhere.

This is a quick sketch of a way to combine existing tools to help clean and annotate data in GBIF, particularly (but not exclusively) occurrence data. GitHub The data provider puts a Darwin Core Archive (expanded, not zipped) into a GitHub repository.