Scientific Data Management
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The document discusses the key features and functions that an ideal scientific data management system should have. It should manage users, instruments, biological samples, experiments and related workflows. It should support standards, ontologies, data models and data exchange formats. The system should be accessible from any device and integrate with other software and external resources. It should support the full lifecycle of information, enable collaboration and knowledge generation from documents and data. It should also be prepared to handle large increases in data volumes.
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