Fair data is an academic concept and methodological approach focused on enhancing the value and utility of research data. It investigates the principles and practices necessary to ensure data is Findable, Accessible, Interoperable, and Reusable (FAIR) by humans and machines. Its key characteristics are defined by these FAIR principles, aiming to maximize the potential for data discovery, seamless integration, and efficient reuse, thereby promoting scientific reproducibility, collaboration, and innovation.