The evolution of statistical systems into data ecosystems: The document highlights how national statistical systems have shifted from a model exclusively led by state statistical offices to a broader approach that includes actors from the private sector, ministries, and civil society organizations. This change seeks to respond to the complexity and diversity of data demand, allowing better integration and use of various sources of information for decision-making.
The potential and challenges of the "data revolution": It is noted that the mass access to the internet, mobile devices, and digital technologies has enabled exponential growth in data production and use. However, this poses significant challenges in terms of regulation, governance, data quality, and balancing the potential of data with mitigating associated risks, such as privacy and data fragmentation.
The need for effective regulatory frameworks and governance schemes: The document emphasizes that, to maximize the benefits and mitigate the risks of the growing influence of the private sector and civil society in data generation, appropriate regulatory frameworks and clear governance schemes are necessary. This approach includes quality standards, transparency, interoperability, and the establishment of public-private partnerships to harness the potential of data for sustainable development.
