GLAM Jupyter Notebooks

We are pleased to introduce you to our collection of Jupyter Notebooks based on GLAM institutions. The International GLAM Labs community, the Open a GLAM Lab book and the labber Tim Sherratt with his GLAM Workbench have been a great inspiration for this project. Additional information about the webinar «Setting Up A GLAM Workbench In Your Library», organised by LIBER’s Digital Humanities Working Group, is provided here: LIBER Webinar.

The notebooks are available in GitHub classified by type of project: images, Linked Open Data, and metadata and text. Additional notebooks provided by ONB Labs and developed by Stefan Karner, have been integrated into the collection.

They are also citable (in Zenodo) and have been assigned a DOI.
DOI/10.5281/zenodo.3765188
DOI/10.5281/zenodo.3765186
DOI/10.5281/zenodo.3765184

In order to launch the notebooks in the cloud, click on the Binder button. Each notebook is based on a dataset provided by a GLAM institution.

Have fun!

Reusing the Moving Image Archive from the National Library of Scotland

Reusing the Moving Image Archive from the National Library of Scotland

This notebook extracts a dataset as a CSV file from a digital collection described using MARCXML files. It uses the dataset Moving Image Archive from the National Library of Scotland.

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Making composite images from the covers retrieved from the BVMC LOD

Making composite images from the covers retrieved from the BVMC LOD

This notebook retrieves the covers to create a composite image from the Linked Open Data repository data.cervantesvirtual.com.

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BNB Linked Data Platform

BNB Linked Data Platform

This notebook uses the British National Bibliography Linked Data Platform to retrieve places of publication and create a map based on GeoNames and Wikidata.

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Analysing the editions of les fleurs du mal de baudelaire from data.bnf.fr

Analysing the editions of Les fleurs du mal de Baudelaire from data.bnf.fr

This notebook shows how to exploit the editions of Les fleurs du mal de Baudelaire using network graphs from data.bnf.fr.

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Computer Vision applied to Smithsonian Open Access

Computer Vision applied to Smithsonian Open Access

This notebook introduces how to explore Smithsonian Open Access to apply computer vision methods in face detection.

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Accessing Europeana IIIF API

Accessing Europeana IIIF API

This notebook extracts a dataset from the Europeana IIIF API. It performs an automatic search, retrieving the manifests from the IIIF server to create a dataset with the metadata as a CSV file.

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Accessing Ghent University Library IIIF API

Accessing Ghent University Library IIIF API

This notebook extracts a dataset as a CSV file based on la Russie illustrée which is a periodical with 15 volumes and 748 issues. The digital content can be retrieved at UGent libraries.

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British Library Labs Digital Research Space

BL Labs Digital Research Space

This notebook is an example of Topic Modeling based on Digitised Volumes of theatrical English, Scottish, and Irish playbills between 1600-1902 from data.bl.uk.

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Library of Congress Colors

LC Colors

This notebook analyses ONB Labs’ historic postcards and generates individual color swatches from the images available via IIIF. It’s based on a Jupyter Notebook by Laura Wrubel colour clustering images of the Library of Congress and hence a good example that openly licensed code helps your peers!

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All the mountains

All the Mountains

This notebook filters the ONB Labs’ historic postcards for landscapes with mountains. Check it out and find out what other interesting information hides in the library’s metadata.

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References