We are digitisers at the Natural History Museum in London, on a mission to digitise 80 million specimens and free their data to the world. Ask us anything!

1

Schema.org

As a community we are trying to release more benchmark datasets for different kinds of training such as the herbarium specimens described in this paper: https://doi.org/10.3897/BDJ.7.e31817 It’s not an especially large dataset (only 1,800 specimens) but collecting, curating and annotating this often ends up being a multi-person process. There are a few places you can deposit research datasets or ML models like Zenodo (https://zenodo.org/) and get a DOI. In our sector Darwin Core is one of the key data standards for describing data and when we need to extend the standard we try and use existing ones (such as those on schema.org or.

#SEO #SEO Tools #Network & Admin 143 social mentions

2

CKAN

We publish all our data on the [Data Portal](https://data.nhm.ac.uk), a Museum project that's been running since 2014. Instead of MediaWiki it runs on an open-source Python framework called [CKAN](https://ckan.org), which is designed for hosting datasets - though we've had to adapt it in various ways so that it can handle such large amounts of data.

#Disk Analyzer #OS & Utilities #CRM 4 social mentions