Definition[edit | edit source]
The data life cycle is
|“||the set of processes in an application that transform raw data into actionable knowledge.||”|
Overview[edit | edit source]
"[T]he data life cycle consists of the following four stages:
- Collection: This stage gathers and stores data in its original form (i.e., raw data).
- Preparation: This stage involves the collection of processes that convert raw data into cleansed, organized information.
- Analysis: This stage involves the techniques that produce synthesized knowledge from organized information.
- Action: This stage involves processes that use the synthesized knowledge to generate value for the enterprise."
References[edit | edit source]
- NIST Big Data Interoperability Framework, Vol. 1, at 8.
- Id. at 16.
See also[edit | edit source]
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