Data interpretation in nanotechnology involves analyzing, understanding, and drawing meaningful conclusions from data obtained through various experimental techniques and computational models. This data is crucial for developing new nanomaterials and nanodevices, optimizing their properties, and ensuring their safety and efficacy in applications ranging from medicine to electronics.
