FAIR Assessment

FAIR Assessment evaluates how well data and digital resources adhere to the FAIR principles: Findability, Accessibility, Interoperability, and Reusability. This process checks if data is easy to locate, accessible under clear conditions, compatible with other systems, and reusable for future research. The goal is to enhance data quality and sharing, making it more efficient for researchers to discover, use, and build upon existing information. FAIR Assessment helps organizations identify strengths and areas for improvement, ensuring data is managed in a way that maximizes its value and impact within the scientific community.