Data Governance Framework - SR-018

SR needs to implement a comprehensive Data Governance Framework that establishes data quality metrics, monitoring processes, and lifecycle management policies, while interfacing with external compliance and audit systems to maintain data integrity and reliability.

Ensures ongoing data quality, regulatory compliance, and reliable data management across the broader social protection ecosystem.

1. Establish and monitor data quality metrics and standards

2. Implement data lifecycle management policies

3. Interface with external compliance and audit systems

4. Maintain data integrity and reliability

5. Monitor and enforce data governance policies

• Data Quality Metrics

• Monitoring Process Data

• Lifecycle Management Data

• Compliance Records

• Audit Data

• Data Governance Policies

• Governance Policy: Basic documentation for data governance

• Compliance: Manual auditing of data compliance

• Data Lineage: Metadata stored in a relational database

• Monitoring: Basic data quality monitoring tools

• Policy Management: Manual policy enforcement

• Governance Policy: Automated policy enforcement with Apache Atlas

• Compliance: Continuous monitoring and dashboards

• Data Lineage: Centralized lineage tracking

• Monitoring: Real-time data quality monitoring

• Policy Management: Automated policy enforcement and tracking

• Governance Policy: AI-driven governance with adaptive rules

• Compliance: Blockchain-based auditing for tamper-proof compliance

• Data Lineage: Knowledge graph for advanced metadata management

• Monitoring: AI-powered predictive monitoring and anomaly detection

• Policy Management: Machine learning-based policy optimization

• Secure lifecycle management of data

• Encryption during data lineage storage

• Role-based access control for governance functions

• Audit trail for policy changes

• Secure interfaces with external systems

• AI-driven governance policies for scalable compliance

• Distributed processing for large-scale monitoring

• Scalable metadata management

• Performance optimization for continuous monitoring

• Integration with external compliance systems

• Standardized interfaces for audit systems

• Support for common metadata exchange formats

• API-based integration with monitoring tools

• GDPR compliance for data quality and lifecycle management

• ISO 27001 for information security management

• Industry standards for metadata management

• Data protection regulations compliance

• Dashboard for monitoring data quality metrics

• Policy management interface

• Compliance monitoring views

• Audit log viewer

• Data lifecycle management controls