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Demonstrație. Documentele de mai jos sunt șabloane randate cu date demonstrative sau interne. Nu atestă conformitatea acestui site sau a unei firme cu Regulamentul (UE) 2024/1689 și nu sunt aprobate de nicio persoană responsabilă.
PROC-008-FIRMA-DEMONSTRATIVA-bfe29e2d · verifică
PROC-008
Data Governance Procedure
Document Information
| Field | Value |
|---|
| Document ID | PROC-008 |
| Title | Data Governance Procedure |
| Repository | RRVI™ |
| Module | 08 – Data Governance |
| Company | Firmă demonstrativă |
| Version | 0.0.0-demo |
| Status | Draft (demo, neaprobat) |
1. Purpose
This procedure defines how Firmă demonstrativă governs, documents, reviews and maintains data used by Artificial Intelligence systems throughout their lifecycle.
The objective is to ensure that data used by AI systems remains accurate, complete, secure, traceable and compliant with Regulation (EU) 2024/1689 (EU AI Act) and Regulation (EU) 2016/679 (GDPR).
2. Scope
This procedure applies to:
- internally developed AI systems;
- externally acquired AI systems;
- proof-of-concept AI systems;
- production AI systems;
- structured and unstructured data;
- operational, validation and reference datasets.
3. Responsibilities
Managing Director
- approves major Data Governance changes where required.
AI Governance Owner
Responsible for:
- coordinating Data Governance activities;
- maintaining the Data Governance Register;
- initiating periodic reviews.
Data Owner
Responsible for:
- approving data usage;
- ensuring data quality;
- reporting data issues.
AI System Owner
Responsible for:
- documenting data sources;
- identifying data limitations;
- maintaining technical documentation.
Compliance Owner
Responsible for:
- monitoring compliance with the EU AI Act and GDPR;
- supporting audits and inspections.
4. Procedure
Step 1 — Identify AI System
Locate the AI system in:
REG-001_AI_System_Inventory_Register.md
Step 2 — Identify Data Sources
Document:
- source systems;
- internal datasets;
- external datasets;
- public data;
- manually entered data.
Step 3 — Assess Data Quality
Evaluate:
- accuracy;
- completeness;
- consistency;
- relevance;
- timeliness;
- integrity.
Record identified limitations.
Step 4 — Assess Data Protection
Verify:
- lawful processing;
- access controls;
- confidentiality;
- retention requirements;
- data minimisation.
Step 5 — Record Governance Information
Update:
REG-008_Data_Governance_Register.md
Record:
- data source;
- owner;
- classification;
- quality assessment;
- review date.
Step 6 — Correct Issues
Where deficiencies are identified:
- document the issue;
- implement corrective actions;
- verify effectiveness;
- update documentation.
Step 7 — Review
Review Data Governance whenever:
- data sources change;
- AI systems change;
- legislation changes;
- significant incidents occur.
5. Records
This procedure produces:
- Data Governance Register;
- Data Governance Evidence;
- Data Governance Declaration.
6. References
- Regulation (EU) 2024/1689 (EU AI Act)
- Regulation (EU) 2016/679 (GDPR)
- DOD-008 Data Governance Policy
- REG-001 AI System Inventory Register
- REG-008 Data Governance Register
- EVID-008 Data Governance Evidence
- DEC-008 Data Governance Declaration
7. Approval
Prepared by
[persoană responsabilă, nepublicat]
Company
Firmă demonstrativă
Status
Approved