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  • Observational data are captured in real time, usually unique and irreplaceable, like brain images, survey data.
  • Experimental data are from lab equipment, often reproducible, but can be expensive such as chromatograms, microassays.
  • Simulation data are generated from test models where model and metadata may be more important than output data from the model, for example economic or climate models.
  • Derived or compiled data result from processing or combining 'raw' data, often reproducible but expensive, like compiled databases, text mining.
  • Reference or canonical data are a (static or organic) conglomeration or collection of smaller (peer reviewed) datasets, most probably published and curated, such as gene databanks, crystallographic databases.

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Creative Commons Licence
PILOT - Writing a data management plan by Edina, University of Edinburgh modified by Marion Kelt, GCU is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at http://datalib.edina.ac.uk/mantra/introduction.html