Data by People, for People
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Bibliographic details
- Authors: Siddharth Tiwari, FRANK PACKER, RAHUL MATTHAN
- Published: March 1, 2023
Core thesis
- India’s approach to data governance neither favors excessive state intervention nor is exclusively laissez-faire; it combines public design and control with private implementation to encourage innovation.
- Digital public infrastructure can democratize data and return control to individuals, enabling data-driven access to finance and broader public services.
Digital public infrastructure: design and implementation
- Strategic design as rails, each addressing a specific need, forming an integrated stack (India Stack) that can scale to serve over a billion people in 29 states and 22 languages.
- Publicly designed and controlled but privately implemented model:
- Public sector focuses on regulatory framework.
- Private sector handles consumer interface and service delivery.
- Outcomes:
- Reduced inclusion gaps.
- Public sector moves away from end-to-end delivery responsibility in payment, education, and health sectors.
Verifiable identity (Aadhaar) and financial inclusion
- In 2008, only 1 in 8 Indians had a verifiable identity.
- In 2009, India rolled out Aadhaar, reaching over a billion people, including those who could not read or write.
- Financial inclusion impact:
- Share of adults with a bank account rose from 25 percent to more than 80 percent in less than 10 years.
- One rough estimate suggests it would have taken nearly 50 years to achieve the same rise in inclusion under traditional growth processes.
Fast payment system (UPI)
- Unified Payments Interface (UPI) run by the nonprofit National Payments Corporation of India; interoperable with PhonePe, Paytm, Google Pay.
- Characteristics:
- Voluntary digital public infrastructure run jointly by regulator and regulated entities.
- Cost of running the payments rail borne by participating commercial banks.
- Network benefits (instant transfers, near-zero charges) without monopolistic disadvantages.
- Usage statistics:
- At the end of 2022, UPI was processing nearly 8 billion transactions a month, about 70 percent more than the previous year.
- Economic role:
- Reduced need for cash economy and supported higher economic growth.
- Helped blunt the worst effects of COVID-19 lockdowns.
Broad applicability across sectors
- Health: digital rails enable data sharing across hospitals, diagnostic laboratories, and research institutions (with patient consent) to improve diagnosis and treatment via comprehensive patient records.
- Skills: digital rails enable exchange and certification of skill credentials, empowering mobile workers.
- Education: digital rails complement existing practices to deliver personalized learning outcomes at national scale.
- Pandemic lessons: vaccine development/distribution, e-commerce, and digital education demonstrated system-wide benefits.
Data Empowerment and Protection Architecture (DEPA)
- DEPA: a techno-legal, consent-based data-sharing system integrated into digital public infrastructure and private-market innovation.
- Features:
- High level of security and low transaction costs (at about $0.07 a data pull), costs borne by consumers seeking the service.
- Consent specifies which data are requested, retention period, and processors; allows revocation, auditing of transactions, and data security requirements.
- Consent manager architecture separates consent flows from data flows:
- Consent manager knows identities but is blind to data content.
- Data users/providers know data content but are blind to provider identity.
- Example: a bank may share spending history for a credit application without knowing the request’s purpose or recipient identity.
- Impact:
- Since going live in India’s financial sector last year, some 1.1 billion individual accounts on the system can now reap benefits from the value of their data.
- Individual experiences show credit access time reduced from months to days (example: small business avoided bankruptcy by raising financing using readily shareable financial data).
Legal and regulatory context
- Absence of a national data protection law led to development of the consent framework under central bank supervision rather than a data protection regulator.
- India’s new draft law references the technical and regulatory mandate of the consent manager and, when enacted, will shape DEPA’s regulatory and supervisory foundations.
Data governance lessons and international implications
- Key principles suggested for other countries:
- Citizens should have the right to access and use their data, wherever it resides, for their own benefit.
- Rules for access and use should be practical, clear, permit consent-based sharing at reasonable cost, and respect privacy and security.
- Systems must be digital with data protection principles integrated into technology to handle large data volumes securely and with low transaction costs.
- International developments:
- Policymakers from Australia, France, India, Japan, Rwanda, the Bank for International Settlements, and the European Commission have deliberated data empowerment approaches and emphasized privacy plus data-driven innovation via open, interoperable technical protocols.
- Data governance appears in new regional trade initiatives: the Digital Economy Partnership Agreement (Chile, New Zealand, Singapore) and the Indo-Pacific Economic Framework for Prosperity.
- Global needs:
- Digital public infrastructure and data empowerment will be central themes of India’s G20 presidency in 2023.
- A global governance mechanism is needed to support open technology standards, regulatory coordination, interoperable accreditation, and satisfactory governance of cross-border transactions.
- It is too early for common standards, but conversations about broad parameters have begun and should be promoted.
Policy recommendations (implicit and explicit)
- Design digital public infrastructure as interoperable rails with privacy integrated into technical design.
- Enable consent-based data-sharing architectures with clear, practical rules for access and use at reasonable cost.
- Develop regulatory frameworks that balance public oversight and private implementation to foster innovation and inclusion.
- Pursue international coordination on open technology standards, regulatory cooperation, and accreditation for cross-border data governance.
Source: Data by People, for People — F&D Magazine, IMF
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- F&D March 2023: DATA BY PEOPLE, for People