FAIR Data is a set of guiding principles to makedata Findable, Accessible, Interoperable, and Reusable. In this episode, Ruthie Musker discusses the utility and complexities of FAIR and why projects should actively address data sharing considerations from the start. Ruthie shares examples of successful FAIR implementation demonstrating how following FAIR principles can benefit the broader ag-data community.

Resources:

• Incentive Systems for Research Data Sharing in Funded Projects
• Data Standards for Soil: Why aren’t they taking root?