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Observational: data captured in real-time, usually irreplaceable (e.g., censor data, telemetry, survey data, sample data, neuroimages)
Experimental: data from lab equipment, often reproducible, but can be expensive (e.g., gene sequences, chromatograms, toroid magnetic field data)
Simulation: data generated from test models where model and metadata (inputs) are more important than output data (e.g., climate models, economic models)
Derived or compiled: data that is reproducible, but very expensive (e.g., text and data mining, compiled database, 3D models, data gathered from public documents)
Access, Sharing, and Re-use
CUNY Academic Commons: Data Management Tools (Note: Some of the tools listed on this page may not be appropriate for data management plans or long-term data management.)