Why in News :
- NITI Aayog has released a report Title: India’s Data Imperative: The Pivot Towards Quality urging a shift from scaling digital infrastructure to ensuring high-quality data to improve digital governance outcomes.
Key Highlights of the Report
- India’s Status: India is now a global leader in Digital Public Infrastructure (DPI) (e.g. UPI, Aadhaar).
- Next Phase Goal: Shift focus from scale to quality in data usage.
What is Quality Data?
Why is Quality Data Critical for Governance?
- Strengthens Digital Platforms: Better service delivery through systems like UPI, Aadhaar.
- Reduces Fiscal Wastage: Prevents inflated welfare budgets (by 4–7%) due to errors or duplication.
- Builds Public Trust: Improves targeting and reduces citizen grievances.
Challenges Identified
- Faulty Data Capture: Speed prioritized over correctness; 80% accuracy is often accepted.
- Fragmented Storage: Legacy systems with no audit trails still in use.
- Inconsistent Sharing: Departmental silos with varying formats delay integration.
- Poor Archival Practices: No deletion of outdated data leads to inefficiencies and privacy risks.
Reform Measures Proposed
- Data-Quality Scorecard: Tool to measure and track dataset performance.
- Data-Quality Maturity Framework: A structured model with:
- 7 dimensions of data quality.
- 5 maturity levels to assess departmental readiness.
| UPSC Relevance GS2 Paper Topics: E-Governance: Applications, Models, Successes, and Limitations. Government Policies and Interventions.Transparency and Accountability in Governance. Possible Mains Questions: Q. Discuss the importance of data quality in digital governance. How can India move beyond digital access to ensure digital efficiency? |
