This document discusses open data, FAIR data principles, and research data management. It provides the following key points: 1) Open/FAIR data aims to make research data available for reuse by shifting away from traditional models where data is undervalued. Data can have varying degrees of sharing from open to restricted to closed. 2) FAIR data principles describe attributes that enable data to be findable, accessible, interoperable, and reusable by humans and machines. Data can adhere to FAIR principles to varying degrees. 3) FAIR data does not necessarily mean data needs to be openly shared - data can be both FAIR and restricted. Good research data management is needed to plan, collect,