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@MaastrichtU-Library

Maastricht University Library

This is the repository of the UM Library where you can find resources related to RDM support, Open training materials, and some of our Open-source software

📚 Welcome to the Maastricht University Library👋

📖 Library in a nutshell

We support students and researchers in achieving their academic goals. We have a good collection of academic resources, both online and in print, and our staff of information experts can assist with any questions. We also provide customized training programs, smart services, advice on copyrights and publications, and strive for sustainable archiving and open access for all research publications.

🌐 We embrace Open Source

At the University Library, we promote open-source software and FAIR software which are central to Open Science. We acknowledge the benefit to students and researchers, fostering innovation, accessibility, and transparency. Quite humble contributions but, resources like DataverseNL Analysis or trainings such as the Qualitative FAIR data, or add-ons like Omeka S theme UM are publicly available.

See the highlights of 2024!


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  1. omekas-docker omekas-docker Public

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  2. the-FAIR-extension the-FAIR-extension Public

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  3. introduction-to-reproducibility-with-python-and-r introduction-to-reproducibility-with-python-and-r Public

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  4. qualitative-FAIR-data qualitative-FAIR-data Public

    3rd Edition of the ♻️ FAIR Research Data Coursebook, featuring Qualitative Data examples. This repository was created and maintained by Maastricht University Library based on the Library Carpentrie…

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  5. omekas-resource-templates omekas-resource-templates Public 8000

    Resource templates (metadata schemes) for Omeka S

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  6. dataverse-analysis dataverse-analysis Public

    🚦Python script to analyze, visualize and generate reports on DataverseNL admin data

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