The FAIR Principles

Level: Introductory Status: mature

The Carpentries mature Stage

Current development stage of the lesson.
Visit Resource

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

Help Improve this Curriculum

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

Express Interest in Piloting Teach This Lesson

For more on how to run a pilot, visit The Carpentries Handbook.

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
Resources
Visit Resource

Authors

Wilkinson et al.
Wilkinson et al.