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| Autor principal: | |
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| Formato: | Recurso digital |
| Lenguaje: | |
| Publicado: |
Zenodo
2026
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| Acceso en línea: | https://doi.org/10.5281/zenodo.18240283 |
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- 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, continuous learning, and interdisciplinary collaboration. It also stresses the importance of data governance, ethics, and trust, ensuring that data is used responsibly and inclusively. Best practices highlight partnership across government, academia, the private sector, and international actors as well as the reuse of shared platforms and standards, so that data capabilities are scalable, interoperable, and resilient over time.