template

Operational Data Inventory & Ownership RACI (Interactive Template)

An interactive template to catalog operational datasets, make ownership explicit, capture data quality notes, and assign a simple RACI for corrections and enhancements. Submissions are saved so teams can track inventory, prioritize fixes, and build trust in dashboards and models.

Interactive Tool

Operational Data Inventory & Ownership RACI

Use this template to record one dataset per submission. Capture where the data comes from, who owns and stewards it, known quality issues, downstream uses, and a compact RACI to clarify responsibilities. Saved entries create a searchable inventory teams can use to reduce false alarms, prioritize fixes, and improve trust in operational intelligence.

Clear, commonly used name for this dataset (e.g., 'Line1_OEE_Events').
What the dataset contains, key columns, units, and business context.
System or source producing the data (e.g., MES, ERP, SCADA, manual spreadsheet).
How often the dataset is updated.
Person or role accountable for dataset correctness. Include name and contact information or role title.
Person or role responsible for day-to-day quality, fixes, and monitoring.
List recurring or known problems (missing values, duplicates, timestamp errors, mismatched units, schema drift).
Team-assessed quality, 1 (poor) to 5 (excellent). Use this to prioritize fixes.
1.0 10.0
URL to schema, data dictionary, catalog entry, or storage location.
Describe how this dataset is used (dashboards, alerts, ML models, compliance reports).
Key dashboards, alerts, or models that depend on this dataset (names or links).
Who performs the work to fix or update the data (names/roles).
Who is ultimately accountable for decisions about the dataset (names/roles).
Stakeholders to consult before making changes.
Teams or roles to notify about changes or incidents.
How to request fixes, expected SLAs, change control, and deployment steps.
Date this record was last reviewed.
Retention, PII concerns, access controls, or other important context.
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