A Scientific Data Curator needs a strong background in life sciences or related fields, combined with expertise in data management, data standards, and metadata annotation. Proficiency with bioinformatics tools, database management systems (like SQL), and experience with data curation software and FAIR data principles are highly valued, as are certifications in data science or information management. Attention to detail, strong organizational skills, and effective communication enhance collaboration with scientists, data engineers, and other stakeholders. These skills ensure accurate, accessible, and high-quality data that support research integrity and scientific discovery.