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Definition Edit

The data life cycle is

the set of processes in an application that transform raw data into actionable knowledge.[1]

Overview Edit

"[T]he data life cycle consists of the following four stages:

  1. Collection: This stage gathers and stores data in its original form (i.e., raw data).
  2. Preparation: This stage involves the collection of processes that convert raw data into cleansed, organized information.
  3. Analysis: This stage involves the techniques that produce synthesized knowledge from organized information.
  4. Action: This stage involves processes that use the synthesized knowledge to generate value for the enterprise."[2]

References Edit

  1. NIST Big Data Interoperability Framework, Vol. 1, at 8.
  2. Id. at 16.

See also Edit

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