Regulaciones impulsan la implementación de modelos de gobernanza de datos | Diario Financiero
The exponential growth of global data necessitates robust data governance, defined as a coherent framework of policies, processes, and technologies ensuring that information is usable, accessible, and protected. This approach is critical for companies to manage risks, reduce costs, and comply with evolving regulations like GDPR and local privacy laws. Effective governance requires transversal leadership support, operational platforms, and continuous quality monitoring to sustain data management initiatives beyond initial policy definition. Relevant to open data, this narrative underscores the shift from mere data protection to transparent, accountable data stewardship. Companies are increasingly establishing clear channels for users to exercise their rights over their personal information, fostering trust and ethical usage. By publicly declaring data principles and creation of privacy portals, organizations are making their data handling practices more visible and understandable to the public, which aligns with the core principles of transparency and accessibility central to the open data movement. Ultimately, successful data governance involves integrating ethical compliance with technological infrastructure, preparing organizations for future challenges like artificial intelligence. This holistic strategy ensures that data serves as a reliable asset rather than a liability. For the open data community, the emphasis on user rights, transparency, and structured governance models highlights the importance of ethical frameworks in enabling the responsible sharing and utilization of data, ensuring that openness does not compromise security or individual privacy.
Source: df.clPublished on 2024-07-04
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