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Published August 8, 2022 | Version 1.3
Lesson Open

FAIR Research Data Coursebook

  • 1. Maastricht University

Description

The coursebook link: maastrichtu-library.github.io/FAIR-research-data-coursebook/

About đź“—

Usually, training materials on FAIR principles are tedious and contain extensive theory. In this Library Carpentries-based coursebook, we aim to teach the implementation of FAIR principles differently. It has low entry-level materials and examples that the average researcher can understand and immediately apply.

Some relevant topics the coursebook aims to address are the following:

  • Get to know the importance of a “Research Digital Object”.
  • Explore the available open-source tools for interoperability to make research digital objects sustainable.
  • You will learn what “Data Terms of Use” and “Data Access Protocols” are and how to create them.
  • You will review the differences and similarities of “Data Descriptions” in different science fields to discuss what we can do (as a scientific community) to standardize these practices.
  • You will learn what “Rich Metadata” technically means on the Semantic Web and its relation to sustainable research output for future researchers.

đź’ˇ Following a bolder approach, we want to teach the implementation of FAIR principles differently. There is less focus on the theory and more emphasis on examples. Guided by 6 steps in Research Data Management

Notes (English)

The coursebook is found at the following link: https://maastrichtu-library.github.io/FAIR-research-data-coursebook/

Files

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Additional details

Dates

Updated
2024-02