Living Herbarium

(2+6) Connecting the Herbarium to Wikidata around playful experiences and storytelling

We have merged Challenge 2 - Designing Wikidata and Challenge 6 - historicalMAP, and are developing concepts to involve more people, stimulate public awareness and engagement, and create educational materials about the natural world.

Cover photo: Michele Jurietti

1. Figma Concept 2. Leaflet/Wikidata Demo

Design Notes

 Brainstorming

Our initial brainstorm is clustered around three topics: Location/Mapping, Specie(s) and History/Change. We collected ideas of experiences and working steps we wanted to achieve at the hackathon.

 Teambuilding

Using a Miro board we further elaborated our designs, used a collage to organise our ideas, and started putting together a workflow based on which user interaction can be developed.

 Figma Concept App

We are now elaborating the interaction design using Figma, which you can preview here:

Figma Demo

Data preparation

We are a small team with about a 50/50 split of technical and design background. None of us are domain experts, but we received detailed guidance and had some very helpful and inspiring meetings with our expert and data provider Alessia Guggisberg who works at the ETH and maintains Vascular plants datasets. We are also in contact with another team working on this data:

Label Recognition for Herbarium
Get

(14) Search batches of herbarium images for text entries related to the collector, collection or field trip

They downloaded and kindly helped us to get a first look of the data, which is too large to work with in a spreadsheet program. In parallel, we looked into the way WikiSpecies data is structured on Wikidata, and read up on the import mechanisms for making contributions. There has been prior work in bridging GBIF and Wikidata, which we wished to leverage.

💡 Read more in Does Biodiversity Informatics 💘 Wikidata?

Using OpenRefine and Frictionless Data Creator we have prepared a schema file comapatible with open data tools. This is a Data Package based on a new extract from GBIF. It is filtered to three species with good coverage (around 15'000 observations) in Switzerland, as recommended to us by Alessia.

Dataset of herbaria and vascular plant observations
Data Package
Data Package based on the GBIF export of the United Herbaria dataset
  • occurrence-ticino
📦
    License

Leaflet/Wikidata live demo

Based on this we were able to create a simple web app, which displays a Leaflet map with locations pulled in from a Data Package, and photos of species from Wikidata APIs. The data can be easily updated / filters expanded, and based on this demo app further work is possible.

Screenshots:

Our work continues on GitHub - click the Source link for details.

Next steps

This content is a preview from an external site.

Living Herbarium

A Data Package that is part of a #GLAMhack 2022 project to explore an extract from the Swiss National Databank of Vascular Plants. This dataset was recommended and queries provided by Dr. Alessia Guggisberg at the Institute of Integrative Biology (IBZ), ETH Zurich.

For more details visit our Project Page

Notes

We removed all empty / repetitive columns from the dataset. This is therefore not a 1:1 complete export, and you should visit the corresponding GBIF query.

In order to respect the currently nationally agreed ethical framework while simultaneously sharing scientifically utilizable data for large scale studies, Swiss biodiversity data is generally published generalized to 5km grid squares. Altitude information corresponds to raw data.

Attribution

Data citation:

GBIF.org (05 November 2022) GBIF Occurrence Download https://doi.org/10.15468/dl.v8r2q5

Datasets:

  • United Herbaria of the University and ETH Zurich
  • Swiss National Databank of Vascular Plants

Usage Rights:

CC BY 4.0 http://creativecommons.org/licenses/by/4.0/legalcode

Added screenshots, social posts and clips to all projects.

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The data is now inserted in Wikidata, though not in the ideal format, and we are still working on adding more of the schema. An initial map based on a quick & dirty Data Package API is working.

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Initial app

Merge branch 'main' of github.com:we-art-o-nauts/living-herbarium

Create queryImage.py (@snappy91)

Data Package validating

Find

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Repository updated

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Updated occurence and metadata

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Create README.md

Initial data package

Find

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Crunch those rows! Using OpenRefine to wrangle the occurrences dataset.

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Challenge posted

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Event started

04.11.2022 09:00
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GLAMhack 2022