The FAIR Principles

Level: Introductory Status: Stable

The Carpentries mature Stage

Current development stage of the lesson.
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About this Resource

A set of guiding principles for making research data Findable, Accessible, Interoperable, and Reusable, with emphasis on machine-actionability.

Learning Objectives

  • Explain the FAIR principles.
  • Describe why machine-actionability matters.
  • Connect FAIR to data curation and repository practices.

Keywords

FAIRresearch data managementmetadatainteroperability

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This lesson is currently in the mature phase. This curriculum is in its early stages. Keep an eye on this space for future updates.

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Why Teach This?

FAIR provides the dominant conceptual framework for research data management and is essential for librarians supporting data stewardship and machine-actionable research outputs.

Instructor Specs
  • Duration: 30–60m (conceptual overview)
  • Level: Introductory
  • License: CC-BY 4.0
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Authors

Wilkinson et al.
Wilkinson et al.