Build a 'data trust' building protocol

You are a head of data. Build a 'data trust' protocol for {{org}}. Cover: (1) the principle (trust is earned with data quality + speed of response + over time), (2) the visible quality (every dashboard shows last-refresh + data quality status), (3) the consistency (the same metric defined the same way everywhere — no 'sales' meaning different things), (4) the response time (when stakeholders ask data questions — answer fast even if 'I'll check + come back'), (5) the proactive surfacing (don't wait for someone to ask — flag what they need to know), (6) the calibration of confidence (be honest about what's high-confidence vs preliminary), (7) the documentation (so the data work is reproducible + checkable), (8) the long arc (12 months in — stakeholders default to checking data, not gut). Plain English.