Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of either encrypting or removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous. The Privacy Technology Focus Group defines it as "technology that converts clear text data into a nonhuman readable and irreversible form, including preimage resistant hashes (e.g., one-way hashes) and encryption techniques in which the decryption key has been discarded." Data anonymization enables the transfer of information across a boundary, such as between two departments within an agency or between two agencies, while reducing the risk of unintended disclosure, and in certain environments in a manner that enables evaluation and analy

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dbo:abstract
  • L' anonymisation de données (a fortiori personnelles) consiste à modifier le contenu ou la structure de ces données afin de rendre très difficile ou impossible la « ré-identification » des personnes (physiques ou morales) ou des entités concernées (ce qui implique de bien définir ce que signifie dans ce cadre le concept d' identifiabilité ). Les anglophones parlent aussi parfois de De-Identification (DE-ID). Le choix d'anonymiser des données résulte souvent d'un compromis déontologique, juridique et éthique, entre une volonté ou une obligation de protéger les individus et leurs données personnelles. L'anonymisation est en particulier employée pour la diffusion et le partage de données jugées d'intérêt public, comme les données ouvertes (Open data). L'utilisation de données anonymisées soulève encore des questions juridiques et éthiques car elle peut aussi être une « barrière » ou un frein à la recherche médicale, « observationnelle ». De même, de nombreuses exceptions à cette règle (par exemple pour certaines données médicales, concernant la défense ou la sécurité intérieure) sont intégrées dans le droit des pays démocratiques. Cette utilisation s'accompagne parfois d'une limite à la durée de conservation. (fr)
  • Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of either encrypting or removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous. The Privacy Technology Focus Group defines it as "technology that converts clear text data into a nonhuman readable and irreversible form, including preimage resistant hashes (e.g., one-way hashes) and encryption techniques in which the decryption key has been discarded." Data anonymization enables the transfer of information across a boundary, such as between two departments within an agency or between two agencies, while reducing the risk of unintended disclosure, and in certain environments in a manner that enables evaluation and analytics post-anonymization. In the context of medical data, anonymized data refers to data from which the patient cannot be identified by the recipient of the information. The name, address, and full post code must be removed together with any other information which, in conjunction with other data held by or disclosed to the recipient, could identify the patient. De-anonymization is the reverse process in which anonymous data is cross-referenced with other data sources to re-identify the anonymous data source. Generalization and perturbation are the two popular anonymization approaches for relational data. (en)
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http://purl.org/linguistics/gold/hypernym
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  • L' anonymisation de données (a fortiori personnelles) consiste à modifier le contenu ou la structure de ces données afin de rendre très difficile ou impossible la « ré-identification » des personnes (physiques ou morales) ou des entités concernées (ce qui implique de bien définir ce que signifie dans ce cadre le concept d' identifiabilité ). Les anglophones parlent aussi parfois de De-Identification (DE-ID). (fr)
  • Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of either encrypting or removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous. The Privacy Technology Focus Group defines it as "technology that converts clear text data into a nonhuman readable and irreversible form, including preimage resistant hashes (e.g., one-way hashes) and encryption techniques in which the decryption key has been discarded." Data anonymization enables the transfer of information across a boundary, such as between two departments within an agency or between two agencies, while reducing the risk of unintended disclosure, and in certain environments in a manner that enables evaluation and analy (en)
rdfs:label
  • Anonymisation (fr)
  • Data anonymization (en)
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