Bancos centrales necesitan trabajar con datos no anonimizados, considera directivo de OCDE

The article highlights the critical tension between the need for granular data to formulate evidence-based public policies and the imperative to protect citizen privacy. Schreyer argues that effective governance requires integrating microdata from diverse sources, a process that is practically unfeasible without unique identifiers linking different databases. This capability allows for comprehensive analysis of complex, transversal issues, such as the intersection of environmental policies and their social impacts, which isolated data sets cannot adequately address. To resolve this, Schreyer proposes a robust framework where identifiers are used solely to link datasets and are anonymized as quickly as possible once the analytical link is established. This approach ensures that statistical generation does not expose individual details, balancing the operational needs of statistical institutes with privacy safeguards. The emphasis is on implementing legal and technical standards that prevent re-identification while enabling the creation of high-quality, interconnected public statistics. This discussion is highly relevant to open data because it challenges the conventional view of anonymity as a static barrier, presenting it instead as a dynamic process within the data lifecycle. It underscores the necessity of defining clear protocols for data linkage and de-identification in open data frameworks, ensuring that transparency and statistical utility do not compromise individual rights. Ultimately, it advocates for a nuanced understanding of data sensitivity that supports informed policy-making without eroding public trust.

Source: elfinancierocr.com
Published on 2023-10-10

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