The key components of data management in nanotechnology include:
Data Acquisition: The process of gathering data from experiments and simulations. Data Storage: Keeping data in secure, organized repositories for easy retrieval. Data Processing: Cleaning, transforming, and analyzing data to extract meaningful insights. Data Sharing: Disseminating data to other researchers and institutions. Data Preservation: Ensuring long-term availability and usability of data.
