Making your Data FAIR

Through this class you will learn about the characteristics of FAIR data (Findable, Accessible, Interoperable and Reusable) and how your data can be made FAIR in practical ways through institutional repositories such as the one hosted by Feinberg. Motivations for FAIR data sharing, such as the NIH's Policy for Data Management and Sharing, will also be discussed.

Through this class, participants will:

• Learn the definitions and components of FAIR research data
• Learn about the NIH's Policy for Data Management and Sharing
• Learn about simple and practical ways that institutional repositories can help users to make and maintain FAIR data