Data De-identification and Pseudonymity Statistics


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Data De-Identification And Pseudonymity Statistics 2023: Facts about Data De-Identification And Pseudonymity outlines the context of what’s happening in the tech world.

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Top Data De-Identification And Pseudonymity Statistics 2023

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Data De-Identification And Pseudonymity “Latest” Statistics

  • According to one well-known research, it is feasible to individually identify 87 percent of the US population with only three data points: a five-digit ZIP code, gender, and date of birth.[1]
  • When using the Safe Harbor de-identification technique, the first three digits of a ZIP code are converted to 000 for any such geographic area with 20,000 or fewer persons.[2]
  • The technique used by Rocher, Hendrickx, and Montjoye achieves AUC values for predicting individual uniqueness ranging from 0.84 to 0.97 on 210 populations, with a low false-discovery rate.[3]
  • Rocher, Hendrickx, and Montjoye discovered that 99.98% of Americans could be successfully re-identified in any dataset using 15 demographic parameters using our approach.[3]
  • According to a recent poll, more than 72% of US residents are concerned about sharing personal information online.[3]
  • Journalists re-identified politicians in an anonymized browser history dataset of 3 million German residents in 2016, revealing their medical information and sexual preferences.[3]
  • The Australian Department of Health made de-identified medical information available to the public for 10% of the population, only for researchers to re-identify them six weeks later.[3]
  • 15 demographic characteristics would distinguish 99.98% of persons in Massachusetts.[3]
  • According to 2010 data, 19% of healthcare businesses had a data breach in the preceding year (HIMSS Analytics, 2010).[4]
  • When using the Safe Harbor method of de-identification, all elements of dates (except year) for dates that are directly related to an individual, such as birth date, admission date, discharge date, death date, and all ages over 89, as well as all elements of dates (including year) indicative of such age, may be aggregated into a single category of age 90 or older.[2]

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How Useful is Data De Identification and Pseudonymity

Data de-identification is the process of removing or encrypting personal information from data sets to protect the privacy of individuals. This allows organizations to use data for research, analysis, and other purposes without revealing the identities of the individuals involved. Pseudonymity, on the other hand, involves using a pseudonym or alias instead of a person’s real name when collecting or sharing data.

Both data de-identification and pseudonymity play a crucial role in safeguarding privacy and reducing the risk of unauthorized access to sensitive information. By anonymizing data, organizations can minimize the chances of data breaches and protect the identities of individuals whose information is being utilized for various purposes.

However, while data de-identification and pseudonymity are valuable tools for protecting privacy, they are not foolproof. In some cases, it is still possible to re-identify individuals from supposedly anonymized data sets. This has raised concerns about the effectiveness of these techniques in truly safeguarding privacy.

Moreover, as technology advances, it is becoming increasingly challenging to ensure that data remains truly anonymous. As algorithms and data mining techniques become more sophisticated, there is a growing risk that even de-identified data can be re-identified through cross-referencing with other data sources.

Despite these challenges, data de-identification and pseudonymity remain vital tools in protecting privacy and ensuring the responsible use of data. With proper safeguards and procedures in place, organizations can still leverage anonymized data for valuable insights and analysis while minimizing the risk of privacy violations.

Furthermore, data de-identification and pseudonymity also play a crucial role in complying with regulations such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA). By anonymizing data, organizations can ensure compliance with these regulations and avoid hefty fines for mishandling personal information.

In conclusion, while data de-identification and pseudonymity are not without their limitations, they are essential techniques for safeguarding privacy in the digital age. By implementing robust privacy practices and incorporating encryption and other security measures, organizations can minimize the risks associated with data sharing and analysis. Moving forward, it will be crucial for organizations to stay vigilant and adapt to evolving privacy concerns to ensure that data remains protected and secure.

Reference

  1. iapp – https://iapp.org/news/a/looking-to-comply-with-gdpr-heres-a-primer-on-anonymization-and-pseudonymization/
  2. hhs – https://www.hhs.gov/hipaa/for-professionals/privacy/special-topics/de-identification/index.html
  3. nature – https://www.nature.com/articles/s41467-019-10933-3
  4. nih – https://www.ncbi.nlm.nih.gov/books/NBK285994/

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