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Scientific Data Management in the Coming Decade Jim Gray, Microsoft David T. Liu, Berkeley Maria Nieto-Santisteban & Alexander S. Salary, Johns Hopkins University David DeWitt, Wisconsin Herd Weber,
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Scientific data management is the practice of organizing, storing, and analyzing scientific data to ensure its accuracy, accessibility, and interoperability.
Scientists, researchers, and organizations involved in scientific studies or experiments are required to file scientific data management.
To fill out scientific data management, you need to gather and organize your scientific data, document the methods and protocols used, ensure data integrity and security, and comply with any applicable data management guidelines or regulations.
The purpose of scientific data management is to facilitate data sharing, reproduce research findings, support collaboration, enable data reuse, and comply with funding agency or institutional requirements.
The specific information to be reported on scientific data management depends on the requirements set by the funding agency or institution. Generally, it includes metadata such as study objectives, data collection methods, data variables, and data storage location.
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