Digital Scholarship & Data Science Topic Guides for Library Professionals
  • TOPIC GUIDES
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Currently under construction - we’re hard at work finalising the content of DS Topic Guides ahead of our July 4 launch at the LIBER Annual 2025 conference! Stay tuned!

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Licensing & Re-use

The project team behind this resource is committed to upholding the values of open source and open science and are keen for the Topic Guides and other content provided here to be used widely and adapted where necessary for local contexts. To enable this, Digital Scholarship & Data Science Topic Guides for Library Professionals, including all Topic Guides published here, are contributed under a CC BY 4.0 Deed | Attribution 4.0 International | Creative Commons license.

This means you are free to:

Share — copy and redistribute the material in any medium or format for any purpose, even commercially.

Adapt — remix, transform, and build upon the material for any purpose, even commercially.

The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Citing this Resource

Suggested citations are written in APA (American Psychological Association) citation style for Journal Articles and are given on each individual guide:

McGregor, Nora, “IIIF,” Digital Scholarship & Data Science Topic Guides for Library Professionals (2024), [DOI link]

To cite the full resource:

McGregor, N., Verhaar, P., Double, J., & Kiraly, P. (Eds.). (2025, March 12). Digital Scholarship & Data Science Topic Guides for Library Professionals. https://libereurope.github.io/ds-topic-guides

 

A 2023-2027 LIBER Working Group collaboration between Digital Scholarship and Digital Cultural Heritage and Data Science in Libraries

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