Scientific Data Management
Scientific Data Management refers to the process of collecting, storing, organizing, analyzing, and sharing large volumes of data generated through scientific research. It involves establishing protocols and systems for the efficient and secure handling of diverse types of data, including experimental results, observations, measurements, and simulations. This field encompasses the development and implementation of tools, software, and infrastructure to facilitate data curation, preservation, and access, with the ultimate goal of enabling reproducibility, collaboration, and knowledge discovery in scientific disciplines.
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