# GLAM Jupyter Notebooks > Jupyter Notebook collection **Wikidata**: [Q111396450](https://www.wikidata.org/wiki/Q111396450) **Source**: https://4ort.xyz/entity/glam-jupyter-notebooks ## Summary GLAM Jupyter Notebooks is a collection of software tools and executable documents owned by the Biblioteca Virtual Miguel de Cervantes in Spain. Designed to support the International GLAM Labs Community, it provides code and workflows for accessing, processing, and analyzing data from major cultural heritage institutions like the British Library, Europeana, and the Library of Congress. The collection is released under a Creative Commons Attribution 4.0 International license with no known copyright restrictions. ## Key Facts - **Entity Type:** Collection; Software - **Owner:** Biblioteca Virtual Miguel de Cervantes - **Country:** Spain - **License:** Creative Commons Attribution 4.0 International - **Copyright Status:** No known copyright restrictions - **Platform:** Depends on Jupyter Notebook software - **Affiliation:** Part of the International GLAM Labs Community; inspired by the International GLAM Labs Community - **Award:** British Library Labs Awards - **Website:** https://data.cervantesvirtual.com/glam-jupyter-notebooks (English) ## FAQs ### Q: Who owns and maintains the GLAM Jupyter Notebooks collection? A: The collection is owned by the Biblioteca Virtual Miguel de Cervantes, based in Spain. It is part of the broader International GLAM Labs Community. ### Q: What specific cultural institutions or datasets can be accessed using these notebooks? A: The notebooks provide tools to access data from the British National Bibliography, BnF authorities, Europeana, Smithsonian Open Access, Ghent University, the Library of Congress, the Austrian National Library, the National Library of Scotland, and the British Library. ### Q: Under what license is the content released? A: The collection is released under the Creative Commons Attribution 4.0 International license and has no known copyright restrictions. ### Q: Has this project received any recognition? A: Yes, the collection received a British Library Labs Award. ## Why It Matters GLAM Jupyter Notebooks serves as a critical bridge between complex cultural heritage data standards and practical computational analysis. By leveraging the Jupyter Notebook environment, the collection lowers the technical barrier for researchers, developers, and librarians to interact with Linked Open Data (LOD) and IIIF (International Image Interoperability Framework) resources from world-class institutions like the British Library and the Smithsonian. The project matters because it operationalizes the goals of the GLAM (Galleries, Libraries, Archives, and Museums) sector's open science movement. Instead of static documentation, it offers living, executable code that demonstrates exactly how to query, extract, and visualize library data. This approach fosters reproducibility and transparency in digital humanities research. By aggregating workflows for disparate institutions—such as combining metadata extraction from the National Library of Scotland with image access from Europeana—it creates a unified toolkit for cross-institutional analysis, encouraging the reuse of public cultural assets. ## Notable For - **Award-Winning Resource:** Recipient of the British Library Labs Awards, recognizing innovative use of digital collections. - **Global Scope:** Aggregates and provides workflows for major international libraries, including the Library of Congress, British Library, and Smithsonian, despite being a Spain-based initiative. - **GLAM Labs Integration:** Functions as a practical implementation of the "GLAM Lab" philosophy, owned by a major institution but designed for a global community. - **Open Licensing:** Utilizes the permissive Creative Commons Attribution 4.0 International license, maximizing reuse potential. - **Technical Variety:** Covers a diverse range of data types, from bibliographic authorities (BnF) to IIIF images (Ghent University) and text metadata. ## Body ### Organizational Structure and Ownership GLAM Jupyter Notebooks is a software collection classified as a non-tangible executable component. It is owned by the **Biblioteca Virtual Miguel de Cervantes** and operates out of Spain. The project is distinctively positioned as both an independent resource and a constituent part of the **International GLAM Labs Community**, which also served as the inspiration for its creation. ### Technical Infrastructure The collection is built entirely upon **Jupyter Notebook** technology, an open-source web application that allows users to create and share documents containing live code, equations, visualizations, and narrative text. The project maintains an English-language portal at `https://data.cervantesvirtual.com/glam-jupyter-notebooks`. The code and notebooks are archived and accessible via Zenodo and GitHub repositories, ensuring persistent access through DOIs (Digital Object Identifiers). ### Supported Institutions and Datasets The collection provides specialized notebooks tailored to specific data sources. Key integrations include: * **Bibliographic Data:** * **British National Bibliography:** Notebooks for LOD extraction and mapping (DOI: 10.5281/ZENODO.3816616). * **BnF (Bibliothèque nationale de France) Authorities:** Graph examples and data manipulation (DOI: 10.5281/ZENODO.3816616). * **British Library:** Notebooks focused on topic modeling and billing data analysis (DOI: 10.5281/ZENODO.3816595). * **National Library of Scotland:** Workflows for dataset extraction and images (DOI: 10.5281/ZENODO.3816595). * **IIIF and Image Resources:** * **Europeana:** Accessing IIIF images (DOI: 10.5281/ZENODO.3816611). * **Smithsonian Open Access:** Accessing IIIF images (DOI: 10.5281/ZENODO.3816611). * **Ghent University:** Accessing IIIF images (DOI: 10.5281/ZENODO.3816611). * **Austrian National Library:** Experiments including "All the Mountains" and color swatch analysis. * **Composite Collections:** * **LOD data.cervantesvirtual.com:** Notebooks for creating composite datasets (DOI: 10.5281/ZENODO.3816616). * **Library of Congress:** Notebooks for color swatches and production analysis (hosted via nbviewer). ### Recognition The project's contribution to digital scholarship was validated when it received the **British Library Labs Awards**. The award acknowledges the project's utility in providing open, executable tools for the library and research community, as noted in the British Library's Digital Scholarship blog. ## References 1. [Source](https://blogs.bl.uk/digital-scholarship/2020/12/bl-labs-awards-symposium-2020-rewind-reflections-box-sets-seasons-greetings.html)