Template

Digital Operations Data Catalog Entry (Interactive Template)

An interactive catalog entry form to capture the key metadata, quality notes, governance details, and readiness signals needed to make operational datasets discoverable and integration-ready for analytics and automation.

Interactive Tool

Digital Operations Data Catalog Entry

Use this form to record a catalog entry for an operational dataset so teams can discover, evaluate, and integrate it reliably. Capture ownership, refresh cadence, schema information, sensitivity, known limitations, and readiness notes. Fields marked required help ensure the dataset is integration-ready.

A clear, human-readable name (e.g., Production Orders - MES).
Unique identifier used by your catalog (e.g., DO-DS-001).
System, application, pipeline, or sensor generating the data (e.g., MES, SCADA, ERP, CSV drop zone).
Technical source classification for integration planning.
Person or role accountable for business meaning and correctness (e.g., Plant Ops Manager).
Person or team responsible for technical quality, pipelines, and access controls.
Email or team alias to contact for questions or change requests.
Typical cadence at which new records become available.
How long data is retained and archival/disposal rules, including legal/regulatory constraints.
Security and privacy classification used for access control and handling.
Indicate whether personally identifiable or protected health information is present.
Paste a brief schema excerpt or column list with types. For large schemas, include a link below.
URL, repo path, or location of the full schema / data dictionary.
A short example query, API call, or method to retrieve representative rows.
Teams, roles, reports, or downstream systems that rely on this dataset.
Data quality quirks, latency issues, known gaps, or interpretive caveats consumers should know.
Optional numeric score reflecting freshness, completeness, accuracy; useful for prioritization.
Date when the dataset was last checked (YYYY-MM-DD).
Indicate if the dataset is currently suitable for downstream production use (access, docs, SLAs).
If not integration-ready, list steps, approvals, or pipeline fixes needed.
Who can access, required approvals, and technical access methods (e.g., DB user, API key, VPN).
Legal, audit or business constraints impacting retention, masking, or deletion.
Comma-separated tags or glossary terms to improve searchability (e.g., OEE, downtime, orders).
Helps teams prioritize catalog and integration work.
Record of major schema, pipeline or contract changes.
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