Open repository for EU-funded research outputs from Horizon Europe, Euratom, and earlier Framework Programmes.
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January 7, 2026 (v1)PresentationOpen
Personas for the successful building and implementation of data governance structures and frameworks represent the key roles and stakeholders needed to turn policy into practice. They typically include senior leaders who set vision and provide authority, data stewards and owners who ensure data quality and accountability, technical experts who...
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January 7, 2026 (v1)PresentationOpen
Financing data governance refers to the sustainable funding of the policies, institutions, skills, and technologies needed to manage data responsibly and effectively. It includes investment in legal and regulatory frameworks, data infrastructure, cybersecurity, interoperability, and human capacity, as well as mechanisms for oversight and...
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January 7, 2026 (v1)PresentationOpen
Guiding principles and best practices for data capacity building emphasise a holistic, sustainable, and people-centred approach that aligns skills, institutions, and technology with real-world needs. Effective capacity building prioritises clear use cases, strong leadership, and long-term investment in human capital through education,...
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January 7, 2026 (v1)PresentationOpen
Vietnam's human resources landscape for data is expanding quickly as demand grows for skills in data science, analytics, engineering, and artificial intelligence across government, industry, and the digital economy. The workforce is supported by a strong pipeline of STEM graduates and a vibrant technology sector, with universities, training...
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January 7, 2026 (v1)PresentationOpen
The global landscape of human resources for data is shaped by strong and growing demand for professionals with skills in data science, analytics, engineering, governance, and ethics across all sectors. Governments, international organisations, academia, and the private sector compete for talent capable of working with advanced technologies such...
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January 7, 2026 (v1)PresentationOpen
Vietnam's data technology landscape is developing rapidly as part of the country's broader digital transformation agenda, driven by government initiatives, a growing digital economy, and increasing private-sector adoption. Cloud computing, national data platforms, and sectoral databases (such as population, health, and business registries) form...
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January 7, 2026 (v1)PresentationOpen
The global landscape of data technologies is broad and rapidly evolving, encompassing tools for data collection, storage, processing, analysis, sharing, and governance across public and private sectors. Cloud computing platforms, data lakes and warehouses enable scalable storage and processing, while advanced analytics, artificial intelligence,...
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January 7, 2026 (v1)PresentationOpen
As data becomes increasingly central to decision-making, service delivery, and innovation, effective data governance is essential for organisations seeking to maximise value while managing risk. Best practices in setting up and implementing data governance structures provide practical guidance on how to establish clear leadership, define roles...
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January 7, 2026 (v1)PresentationOpen
Governments face the challenge of designing national data governance frameworks that balance innovation with trust and protection of rights. Guiding principles for policymaking at the national level provide a shared foundation for shaping coherent, inclusive, and future-ready data governance approaches. These principles help policymakers align...
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January 7, 2026 (v1)PresentationOpen
The UN's fragmented and inefficient technology infrastructure drives high costs and limits interoperability, making urgent digital modernisation essential for it to remain effective and credible in the digital age. Although the UN is a major steward of global public data, its fragmented and siloed systems limit interoperability, collaboration,...