Data Management and Publishing

What is Data?

When we talk about data we are referring to:

• Observational: data captured in real-time, usually irreplaceable

Examples: Sensor data, telemetry, survey data, sample data, neuroimages.

• Experimental: data from lab equipment, often reproducible, but can be expensive

Examples: gene sequences, chromatograms, toroid magnetic field data

• Simulation: data generated from test models where model and metadata (inputs) are more important than output data

Examples: climate models, economic models

• Derived or compiled: data that is reproducible (but very expensive)

Examples: text and data mining, compiled database, 3D models, data gathered from public documents