Nanotechnology research produces vast amounts of complex data from various sources, such as microscopy, spectroscopy, and computational simulations. Proper data management is crucial for several reasons:
Reproducibility: Ensures that experiments can be replicated by other researchers. Data Sharing: Facilitates the exchange of information within the scientific community, accelerating advancements in the field. Security: Protects sensitive data from loss or unauthorized access. Compliance: Meets regulatory requirements and standards.
