Jaime Gómez-Obregón’s work demonstrates how data engineering can transform scattered and opaque information into structured knowledge. By automatically tracking public documents, complex formats such as PDFs are cleaned and key entities are extracted, establishing relationships that create detailed connection maps. This methodology not only reveals hidden links in cases of corruption or political scandals but is also replicable across a wide range of topics, from superheroes to vaccines, demonstrating the versatility of data analysis in contemporary society. Its relevance to open data lies in its methodological approach: transforming raw information into a researchable ontology. The author shows that although many entities hinder transparency through cumbersome formats or lack of publication, appropriate technological tools can overcome these barriers. By converting unstructured data into a visually accessible hypertext network, citizens and researchers are empowered to detect details that often go unnoticed in traditional or conventional journalistic analyses. Finally, the article underscores a profound critique of the technological asymmetry between the public sector and civil society. While citizens develop advanced tools to analyze reality, institutions often rely on outdated software and inefficient databases. This disconnect not only delays the state’s capacity to respond but also highlights the urgency of adopting modern open data practices to ensure more agile justice and genuine transparency, closing the gap between those who have the tools and those who need them.
Source: microsiervos.comPublished on 2023-06-17
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