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Fix a typo in data life-cycle section
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@@ -39,7 +39,7 @@ The work of producing realistic synthetic data can help the Data Scientist bette
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The Life-Cycle of Data typically starts with [synthetic data](#synthetic-data) used to prepare and plan for actual observations.
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While the observations are being collected, the dataset is continually growing and is in a dynamic state. Any data reductions that depend on the dataset as a whole will need to be re-run as more data is collected.
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Once the period of observation is over, the data is in a static (mature) state.
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Eventually, the data either be deleted, or [archived](#archiving) depending on the residual value of the data.
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Eventually, the data will either be deleted, or [archived](#archiving) depending on the residual value of the data.
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#### Public and Private Data
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