Data integration in nanotechnology refers to the process of combining data from different sources and providing users with a unified view. This is essential in the interdisciplinary field of nanotechnology, where data generated from experiments, simulations, and theoretical models must be synthesized to derive meaningful insights. Effective data integration helps in advancing research, improving material design, and enhancing the development of nanodevices.
