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The publication of Spain’s first census of residential care centers marks a significant step toward transparency in social services, yet it also highlights critical challenges regarding data reliability. Although the report aims to provide a comprehensive overview of facilities for older adults and people with disabilities, independent associations argue that the methodology lacks rigor. Significant discrepancies exist between official figures, including the unexplained removal of more than 15% of the initial records, as well as inconsistencies in the total number of facilities and the number of available beds. The most pressing implication of this flawed data is the stark disconnect between statistical availability and real-world needs. The census reports tens of thousands of vacant beds, while thousands of individuals with severe dependency wait in limbo for placement. Moreover, the metrics used to calculate coverage ratios are questioned for failing to accurately reflect the demographics of users, thereby obscuring the true scale of the shortage and potentially misleading policymakers about the adequacy of current infrastructure. This article is crucial for the open data community because it illustrates the dangers of publishing datasets without sufficient transparency regarding their creation and validation processes. It underscores that simply making data public is insufficient if the underlying methodology is opaque or if the results contain obvious logical contradictions. To be useful for public accountability and effective policy-making, open data must be accompanied by clear documentation on data cleaning processes, source verification, and logical consistency checks.

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Published on 2024-04-30

Open Data

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