The FAIR Principles and Data Quality: Advancing Reproducibility and Reusability in Scientific Research
The FAIR principles Findable, Accessible, Interoperable, and Reusable—have emerged as a foundational framework for scientific data management, providing guidance for ensuring that data remain valuable and usable over time. This review examines the...