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Personal data, also known as personal information or personally identifiable information (PII), [1] [2] [3] is any information related to an identifiable person. The abbreviation PII is widely used in the United States , but the phrase it abbreviates has four common variants based on personal or personally , and identifiable or identifying .
Researchers remove individually identifiable PHI from a dataset to preserve privacy for research participants. There are many forms of PHI, with the most common being physical storage in the form of paper-based personal health records (PHR). Other types of PHI include electronic health records, wearable technology, and mobile applications.
Personal Identifiers (PID) are a subset of personally identifiable information (PII) data elements, which identify an individual and can permit another person to "assume" that individual's identity without their knowledge or consent. [1] PIIs include direct identifiers (name, social security number) and indirect identifiers (race, ethnicity ...
For example, data produced during human subject research might be de-identified to preserve the privacy of research participants. Biological data may be de-identified in order to comply with HIPAA regulations that define and stipulate patient privacy laws. [1]
The gathering of personally identifiable information (PII) refers to the collection of public and private personal data that can be used to identify individuals for various purposes, both legal and illegal. PII gathering is often seen as a privacy threat by data owners, while entities such as technology companies, governments, and organizations ...
Examples of existing privacy enhancing technologies are: General PET building blocks: Obfuscation refers to the many practices of adding distracting or misleading data to a log or profile, which may be especially useful for frustrating precision analytics after data has already been lost or disclosed.
Another concern is whether websites one visits can collect, store, and possibly share personally identifiable information about users. The advent of various search engines and the use of data mining created a capability for data about individuals to be collected and combined from a wide variety of sources very easily.
Thus, it is often called Euler's phi function or simply the phi function. In 1879, J. J. Sylvester coined the term totient for this function, [14] [15] so it is also referred to as Euler's totient function, the Euler totient, or Euler's totient. Jordan's totient is a generalization of Euler's. The cototient of n is defined as n − φ(n).