dedupeerimise

Dedupeeimization is a term used in data privacy and security contexts to describe the process of de-associating or separating a personal data record from its corresponding identifiers, such as names or other uniquely identifiable attributes. This process aims to eliminate or reduce the risk of re-identification, making it more difficult for individuals to be identified based on their data in a combined dataset or quasi-identified dataset.

Dedupeimiation typically involves the removal or suppression of identifying information, such as names, addresses, or other personal characteristics that could be linked to an individual through matching algorithms or external records. This method is often used in data anonymization, data masking, or data de-identification processes to protect the privacy of individuals whose data is being collected, stored, or shared.

Techniques employed for deduplication often include data scrambling or encrypting, hashing data, and obfuscating or suppressing personally identifiable information. Dedupeimiation can be performed through various methods, such as SQL queries, data mapping languages, and specialized software tools designed specifically for data de-identification.

When properly implemented, deduplication can provide robust data protection, thereby helping maintain individual privacy and anonymity in contexts where sensitive data is shared or stored, including in database management, data science research, and compliance reporting.