FAIR Data Sharing

Upcoming Classes

We have no upcoming HSLS live classes currently scheduled on this topic. Contact us for options.

The FAIR Data Principles are a set of guiding principles to make data Findable, Accessible, Interoperable and Reusable.  In this session, we will review these principles, discuss the challenges of data sharing, and offer practical tips for how sharing can be integrated into a researchers workflow. 

Upon completing this class, you should be able to:
  • State what the acronym FAIR stands for.
  • Define metadata.
  • List two considerations for evaluating a repository.
Level
Novice
Recording status
This class will not be recorded.
Class Materials
Class materials will be shared with attendees.
See more learning options on this topic: FAIR Data Sharing