Anonymisation is a term that is used to describe the process of removing personally identifiable information from data. This process is used to protect the privacy of individuals who may be identified by the data. In this article, we will explore the definition and meaning of anonymisation, its origin, associations, synonyms, antonyms, and root words.
Definitions
Anonymisation is defined as the process of removing or altering data in such a way that it can no longer be used to identify an individual. This process is used to protect the privacy of individuals who may be identified by the data. Anonymisation is often used in research, where data is collected from individuals, but the identity of the individuals must be protected.
Origin
The word anonymisation comes from the Greek word “anonymos,” which means “without a name.” The term was first used in the field of statistics in the early 20th century, and it has since become a common term in the fields of research and data protection.
Meaning in different dictionaries
According to the Oxford English Dictionary, anonymisation is defined as “the process of removing identifying details from data so that it can be used without breaching confidentiality.” Merriam-Webster defines anonymisation as “the act of making something anonymous or unidentifiable.”
Associations
Anonymisation is often associated with data protection and privacy. It is used to protect the privacy of individuals who may be identified by data, such as medical records, financial records, and other sensitive information.
Synonyms
Some synonyms of anonymisation include de-identification, masking, and obfuscation.
Antonyms
Antonyms of anonymisation include identification, disclosure, and exposure.
The same root words
The root word of anonymisation is “anonym,” which means “without a name.” Other words that share this root include anonymous, anonymity, and pseudonym.
Example Sentences
- The data was anonymised to protect the privacy of the individuals involved.
- The researchers used anonymisation techniques to ensure that the data could not be used to identify any of the participants.
- The company implemented strict anonymisation policies to ensure that customer data was protected.