Data management in nanotechnology involves several key steps:
Data Collection: Gathering experimental data, simulation results, and other relevant information. Data Storage: Storing data in secure and scalable databases. Data Processing: Analyzing and transforming data to extract meaningful insights. Data Sharing: Collaborating with other researchers and sharing data through secure channels. Data Archiving: Preserving data for future reference and reproducibility of experiments.
