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  1. An identification of core campus systems that produce data of common interest and the respective data owning department(s), individuals, and data stewards.
  2. An assessment of the data management practices and data quality of the systems.
  3. Entry of common data attribute names and descriptions into a campus data dictionary and catalogue of business rules, transformations, and possibly aliases.
  4. A data flow diagram per subject or data context of where the data is transmitted to and how often.
  5. An assessment of what it means to implement a "zero data defect" policy for this data set.

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