'Anonymized Data' Is A Gibberish Term, And Rampant Location Data Sales Is Still A Problem

The central argument reveals that the widespread claim of data "anonymity" is fundamentally misleading. Despite industry assertions that stripping personal identifiers protects privacy, studies consistently demonstrate that location data can be easily re-identified through correlation with other available datasets. This technical reality means that treating such data as safe is a dangerous fallacy, leaving individuals vulnerable to identification and surveillance regardless of purported privacy safeguards. This deception is particularly hazardous regarding location data, which is collected and traded transparently by a complex network of companies and brokers. Users rarely have genuine control or knowledge of how their movement patterns are sold, while companies maintain opacity to avoid public backlash. The ability to infer detailed personal habits from mere location traces makes this data highly sensitive, yet it continues to be commodified without adequate disclosure, creating a significant imbalance between corporate profit and individual privacy rights. The article is critically relevant to open data discussions as it highlights the risks inherent in open data ecosystems when transparency does not equate to accountability. It underscores that merely releasing data, even without explicit personal identifiers, can facilitate harm if robust de-identification standards are ignored. The stagnation of regulatory reform despite known abuses illustrates the urgent need for stricter governance in open data practices, ensuring that the pursuit of data utility does not compromise fundamental security and consent principles.

Source: techdirt.com
Published on 2023-03-15

Open Data

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