Data Sharing as DPI: Strategic Incentives for National Adoption With a recorded annual growth of 8%, governments continue to increase investment in information technologies for public sector use (OECD). In policy terms, this metric translates directly to a need for stronger capacities to manage public-facing risks and benefits of digital infrastructures. However, there has been a marked absence of action to gauge the returns on these investments. This lack of research dilutes arguments in favour of new avenues of digital transformation including digital public infrastructure in Low- and Middle-Income Countries (LMICs). In parallel, data localisation laws have proliferated across jurisdictions including Singapore, Vietnam, Nigeria, and Kenya, reflecting a widespread concern with sovereignty and foreign technological dependence (Rouse). Yet localisation without interoperability merely relocates data without increasing state capacity. In practice, it amplifies fragmentation, multiplies integration costs, and preserves vendor lock-in under domestic guises (TrustArc). Although questions of data ownership and provenance persist in crafting policy for DPI, a cardinal operational constraint is data usability at scale. Governments cannot extract economic, geopolitical, or administrative value from data that remains trapped in institutional silos or proprietary systems.

This quality of data offers insight into digital transformation programmes in many low- and middle-income countries that do not sustain despite substantial investment, creating a digital society where applications proliferate but intelligence does not accumulate over time. The absence of a shared data layer stalls governments from coordinating policy, enabling domestic markets, or responding effectively to systemic shocks. Data sharing as digital public infrastructure addresses this structural failure by enabling coordination between government agencies to create unified service chains (George James Consulting). Unlike identity or payments systems, which digitise discrete functions, data sharing infrastructure operates horizontally, determining core functions of digital assets including interoperability of systems, sovereignty of data, and the translation of national digital strategies into enduring state capacity.

The case for investment in data sharing, thus, is not purely normative but also strategic

Countries that implement federated, standards-based data sharing infrastructure gain three quantifiable advantages: enhanced market competition, crisis resilience, and enforceable digital sovereignty through real-time integration. These advantages align directly with national digital transformation objectives and cannot be achieved exclusively through application-centric approaches.

Economic Competitiveness

In data-rich economies, competitive advantage often flows from access to reliable information about markets and populations. In many LMICs, multinational platforms possess superior domestic intelligence than the state itself (OECD). Local businesses suffer as a consequence of this information asymmetry. Kenya’s Huduma platform illustrates how state-controlled data sharing can rebalance this dynamic. By integrating service delivery data across government through interoperable protocols, Huduma generated a shared intelligence base accessible to domestic SMEs, researchers, and policymakers (Wavetech). India’s Data Empowerment and Protection Architecture (DEPA) operationalises economic advantage through consent-based data sharing. World Bank research highlights post-implementation market share gains for domestic fintech firms, attributable to standardised consent artefacts and APIs that lowered entry barriers (World Bank). The case for data sharing systems follows a structural logic with economic value. When high-quality public data becomes interoperable under sovereign governance, it functions as a competitive input into domestic innovation ecosystems. Research points to open APIs and shared standards as key in enabling civil society organisations and private developers to build transparency and service applications using official data (IDB, 6B).

Crisis Resilience

Interoperable data infrastructure is also a prerequisite for crisis governance. Estonia’s Data Embassy programme facilitates resilience under geopolitical threat by ensuring continuity of digital services through extraterritorial data replication governed by sovereign protocols (e-Estonia). Policy documentation specifies the technical architecture enabling state functions to persist even under territorial compromise. The COVID-19 pandemic exposed a broader failure. Governments lacked pre-existing data sharing infrastructure and could not integrate health, mobility, and economic data fast enough to support coherent responses. Ad hoc integrations built under emergency conditions were fragile. The constraint was not analytical capacity but technical division (Lee et al). Rwanda’s Irembo platform illustrates these notions in practice (UN DESA, UNDP). World Bank research on social protection responses to COVID-19 found that countries with pre-existing digital databases and data exchange platforms reached, on average, 51% of their population with cash transfers. Conversely, this permeated only around 16% of the populations in countries that did not have similar means (World Bank). Data sharing systems offer operational solutions as resilience emerges from prior investment in interoperability, not from crisis-time improvisation.

Strategic Sovereignty Through Federated Control

Digital sovereignty is frequently misconstrued as largely a question of data location. In reality, sovereignty can be exercised through protocol control. In most LMICs, sectoral data is organised either by siloed domestic ministries or by foreign vendors operating closed systems (Faddoul et al., Microsave). Health records may sit with an Australian technology provider, climate data with a US firm, and economic and welfare databases within incompatible domestic platforms. State ownership over data is but a token, as it may lack operational control over access, reuse, and migration. This leads to fragmented sovereignty with direct policy costs. Estonia’s X-Road provides an example of a demonstrably superior architecture. X-Road is a federated data exchange layer in which data remains with the originating authority while interoperability protocols are centrally governed and vendor-neutral. Official documentation shows that migration protocols allow authorities to change vendors without service disruption, eliminating dependency on proprietary formats (X-Road). By mandating reuse of authoritative data sources across government, interoperability can be converted into an enforceable rule rather than a coordination aspiration. The strategic implication is clear. Sovereignty in the data space is strengthened not by data hoarding but by standardising processes of data collection, usage and storage. When protocols are sovereign, vendor lock-ins can be avoided. The idea of data sovereignty is one that is multi-faceted in both problem and solution; data sharing models are not a panacea, but a useful lever that policymakers can rely on.

Alignment with National Digital Transformation

Strategies The strategic value of data sharing infrastructure increases when aligned with broader digital transformation goals. Without interoperable systems, planning depends on fragmented datasets or foreign intermediaries, undermining both sovereignty and effectiveness. Technical architecture determines whether non-state actors can engage productively and innovate with and within government data ecosystems. Where they do not, participation collapses into isolated pilots (OECD1, OECD2). Brazil’s National Digital Government Strategy reinforces this point. Standardised access to government data enabled civil society to build accountability tools and service extensions that the state could not feasibly deliver alone (Foreign Policy). Treating data sharing as public infrastructure converts governance objectives into operational capability.

Conclusion

Data sharing as digital public infrastructure is a strategic investment with quantifiable returns. Federated models strengthen sovereignty by eliminating vendor lock-in. Interoperability reallocates economic advantage toward domestic firms by democratising access to high-quality data. Real-time integration underpins crisis resilience. These outcomes are empirically observable across Estonia, Denmark, India, Kenya, Rwanda, and Brazil. Countries that continue to treat data sharing as optional middleware will sustain fragmented digital systems with limited strategic value. The choice is structural – either governments invest in sovereign, standards-based connective infrastructure, or they remain dependent on proprietary systems that constrain policy autonomy and economic competitiveness.