Scientific data management is the academic field and methodological approach concerned with the systematic handling of data generated through scientific research throughout its lifecycle. It investigates principles, methods, and technologies for the organization, storage, access, preservation, and sharing of scientific data, emphasizing the assurance of data integrity, reproducibility, discoverability, and long-term accessibility. This concept is fundamental for validating research findings, enabling collaboration, facilitating new discoveries, and upholding ethical and regulatory standards across scientific disciplines.