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Case study demonstrates enhanced data governance and public sector capacity in Lithuania, highlighting significant risks.
National Statistical Offices are increasingly expected to expand their role beyond traditional statistical production to act as central stewards of national data ecosystems. This expansion creates a fundamental institutional tension: organisations established to guarantee professional independence and confidentiality are now being asked to promote data sharing, reuse, and policy analytics. This article examines Lithuania as a critical case of this transformation. In 2023, Statistics Lithuania was legally reconstituted as the State Data Agency (SDA), receiving a mandate that integrates official statistics with nationwide data governance. Drawing on legal analysis, institutional documentation, and operational evidence, the study explores how Lithuania has centralised administrative data flows, established a national data lake, and developed secure analytical environments to support ministries and municipalities. Concrete applications in health surveillance, social policy, and municipal planning demonstrate the benefits of this model, including reduced respondent burden, more timely indicators, and enhanced evidence-based decision-making. At the same time, the Lithuanian experience reveals significant governance risks related to confidentiality, politicisation, and technological dependence. This paper argues that NSO-led data agencies can strengthen public sector capacity only if robust legal safeguards, transparent access procedures, and ethical oversight evolve alongside technological systems. Lithuania thus provides both inspiration and caution for countries seeking to reposition their statistical authorities at the centre of the digital state.
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Luca Di Gennaro Splendore (2026) studied this question.
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