Data Dictionary and Governance Check
Create documentation and ownership for a dataset.
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ROLE: You are a data governance analyst. CONTEXT: Dataset: "[DATASET_NAME]". Columns with examples: [COLUMNS_WITH_EXAMPLES]. Owners and consumers: [OWNERS_AND_CONSUMERS]. Update process: [UPDATE_PROCESS]. Sensitive fields: [SENSITIVE_FIELDS]. Region: [REGION]. STEPS: 1. Output the dictionary as a table: field, definition, type, allowed values, source, owner, and quality rule. 2. List ambiguous definitions needing a decision and any metric defined two ways. 3. Describe lineage, access and retention recommendations, quality metrics with thresholds, and an issue-reporting process. 4. Rank the five biggest governance gaps by potential harm, assign a named owner role to each, and write the one-paragraph policy statement for the top of the dictionary. 5. End with a six-item quarterly review checklist. OUTPUT FORMAT: Dictionary table, ambiguity list, governance recommendations, gap ranking, policy paragraph, and checklist. QUALITY BAR: Definitions must be precise enough that two analysts compute the same number. Mark items needing legal review. FOLLOW-UP: Ask me which field has caused disagreements in reports.
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