FAIR is an acronym for Findable, Accessible, Interoperable and Reusable. Each word represent principles for ways to handle research data, so the data can be found, accesed, understood and reused by others.   

FAIR is a continuum – meaning you can't be either FAIR or not FAIR. You can start by working with a few of the principles and later dive more into the remaining principles. 

Remember that FAIR data stands for "as open as possible and as closed as necessary”. Meaning that it’s not possible making all data available for the public, but it is still very much relevant working with the principles.  

• Strategy: Working with the principles is an excellent foundation for creating a good data management strategy
• Documentation and organization: Managing you research data in a way that makes it easier for others to find, acces, understand and reuse your data
• Visibility and impact: Your work becomes more transparent and credible, which can lead to exposure, and create opportunities for collaborations      
• Compliance: You comply with international and institutional standards when working with the FAIR principles