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WI-008-FIRMA-DEMONSTRATIVA-3e265375 · verifică
WI-008
Data Governance Work Instruction
Document Information
| Field | Value |
|---|
| Document ID | WI-008 |
| Title | Data Governance Work Instruction |
| Repository | RRVI™ |
| Module | 08 – Data Governance |
| Company | Firmă demonstrativă |
| Version | 0.0.0-demo |
| Status | Draft (demo, neaprobat) |
1. Purpose
This Work Instruction provides detailed guidance for identifying, documenting, reviewing and maintaining data used by Artificial Intelligence systems within Firmă demonstrativă.
The objective is to ensure that AI systems use reliable, secure and well-governed data throughout their operational lifecycle.
2. Preconditions
Before performing Data Governance activities verify that:
- the AI System exists in the AI System Inventory;
- the AI System Owner has been assigned;
- data sources are known;
- intended purpose has been documented.
3. Required Information
Collect the following information:
- AI System ID
- AI System Name
- Data Owner
- Data Source
- Data Category
- Data Classification
- Personal Data (Yes/No)
- Data Quality Level
- Data Retention Period
- Review Date
4. Work Instructions
Step 1
Open:
REG-001_AI_System_Inventory_Register.md
Locate the AI system.
Step 2
Identify all data sources.
Document:
- internal databases;
- cloud services;
- uploaded files;
- APIs;
- public datasets;
- manually entered information.
Step 3
Classify the data.
Identify whether the data is:
- Public;
- Internal;
- Confidential;
- Restricted;
- Personal Data;
- Sensitive Personal Data (if applicable).
Step 4
Evaluate Data Quality.
Verify:
- accuracy;
- completeness;
- consistency;
- integrity;
- relevance;
- timeliness.
Document any limitations.
Step 5
Verify Security Controls.
Confirm:
- access control;
- authentication;
- authorization;
- encryption where applicable;
- backup procedures;
- retention policy.
Step 6
Update Register.
Open:
REG-008_Data_Governance_Register.md
Record:
- data source;
- owner;
- classification;
- review date;
- status.
Step 7
Collect Supporting Evidence.
Store evidence in:
EVID-008_Data_Governance_Evidence.md
Examples include:
- data flow diagrams;
- database schemas;
- API specifications;
- access control documentation;
- GDPR documentation;
- security policies.
Step 8
Review.
Repeat Data Governance review whenever:
- data sources change;
- AI systems change;
- legislation changes;
- security incidents occur.
5. Quality Checks
Verify that:
✓ Data sources identified.
✓ Data Owner assigned.
✓ Data classified.
✓ Data quality evaluated.
✓ Security controls documented.
✓ GDPR compliance considered.
✓ Register updated.
✓ Supporting evidence collected.
✓ Review date assigned.
6. Outputs
This instruction updates:
- REG-008 Data Governance Register
- EVID-008 Data Governance Evidence
- DEC-008 Data Governance Declaration
7. References
- Regulation (EU) 2024/1689 (EU AI Act)
- Regulation (EU) 2016/679 (GDPR)
- DOD-008 Data Governance Policy
- PROC-008 Data Governance Procedure
- REG-001 AI System Inventory Register
8. Approval
Prepared by
[persoană responsabilă, nepublicat]
Company
Firmă demonstrativă
Status
Approved