adpa-enterprise-framework-automation
Version:
Modular, standards-compliant Node.js/TypeScript automation framework for enterprise requirements, project, and data management. Provides CLI and API for BABOK v3, PMBOK 7th Edition, and DMBOK 2.0 (in progress). Production-ready Express.js API with TypeSpe
62 lines (51 loc) • 1.75 kB
JavaScript
export class MetadataManagementFrameworkTemplate {
context;
constructor(context) {
this.context = context;
}
generateContent() {
return `
# Metadata Management Framework for ${this.context.projectName}
## 1. Introduction
- Purpose and Scope
- Alignment with Data Strategy
- Key Drivers and Business Benefits
## 2. Metadata Principles and Policies
- Core principles for metadata management
- Policies for metadata creation, storage, and access
- Data Stewardship and Ownership
## 3. Metadata Architecture
- Overview of the metadata repository
- Integration with data sources and tools
- Metadata discovery and harvesting mechanisms
## 4. Metadata Standards
- Business Metadata Standards (e.g., business glossary, data dictionary)
- Technical Metadata Standards (e.g., schemas, data lineage, mappings)
- Operational Metadata Standards (e.g., job execution logs, data quality metrics)
## 5. Roles and Responsibilities
- Data Stewards
- Data Owners
- Metadata Analysts
- IT and Data Management Teams
## 6. Processes and Workflows
- Metadata Capture and Registration
- Metadata Curation and Enrichment
- Change Management for Metadata
- Metadata Quality Assurance
## 7. Tooling and Technology
- Metadata Management Tools (e.g., data catalog, repository)
- Integration with other data management tools
- Version control and repository management
## 8. Implementation Roadmap
- Phased approach for implementation
- Key milestones and deliverables
- Training and communication plan
## 9. Governance and Monitoring
- Metrics and KPIs for metadata management
- Auditing and compliance checks
- Continuous improvement process
## 10. Approval
`;
}
}
//# sourceMappingURL=MetadataManagementFrameworkTemplate.js.map