Pseudonymous - Revision history

Jkoran at 17:49, 19 February 2022

2022-02-19T17:49:28Z

Jkoran at 17:16, 19 February 2022

2022-02-19T17:16:16Z

Jkoran at 14:22, 19 February 2022

2022-02-19T14:22:37Z

AdminUser at 15:18, 11 January 2021

2021-01-11T15:18:13Z

AdminUser at 01:18, 8 January 2021

2021-01-08T01:18:38Z

AdminUser at 19:03, 7 January 2021

2021-01-07T19:03:27Z

AdminUser: Created page with "Pseudonymous means there are appropriate technical and operational processes within the organization using the identifier to keep this identifier separate from an individual..."

2021-01-07T18:36:11Z

Created page with "Pseudonymous means there are appropriate technical and operational processes within the organization using the identifier to keep this identifier separate from an individual..."

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Pseudonymous means there are appropriate technical and operational processes within the organization using the identifier to keep this identifier separate from an individual’s identity.

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 “Pseudonymize” or “Pseudonymization” is a process to create an addressable identifier that is kept separate from an individual’s directly-identifiable identity with an appropriate technical or operational process. This means the information is no longer attributable to a specific individual without the use of additional information, provided that the additional information is kept separately and is subject to technical and organizational measures to ensure that this information is not subsequently mapped to an identifiable individual.
-Pseudonymization techniques include algorithmic functions (such as using a one-way process to transform input identifiers into outputted ones) or tokenization process (using a bi-directional mapping process to transform input identifiers into outputted ones). A common example of the former is hashing emails to produce a new pseudonymous identifier. A common example of the latter is relying on substitution (e.g., linking the zip 90210 to “Beverly Hills,” given there are other zip codes in that California region). Algorithmic functions are preferred as strong protections than substitution or tokenization forms of pseudonymization.<ref>https://ec.europa.eu/justice/article-29/documentation/opinion-recommendation/files/2014/wp216_en.pdf, section A.2</ref>
+Pseudonymization techniques include algorithmic functions (such as using a one-way process to transform input identifiers into outputted ones) or tokenization process (using a bi-directional mapping process to transform input identifiers into outputted ones). A common example of the former is hashing emails to produce a new pseudonymous identifier. A common example of the latter is relying on [[Data Masking|substitution]] (e.g., linking the zip 90210 to “Beverly Hills,” given there are other zip codes in that California region). Algorithmic functions are preferred as strong protections than substitution or tokenization forms of pseudonymization.<ref>https://ec.europa.eu/justice/article-29/documentation/opinion-recommendation/files/2014/wp216_en.pdf, section A.2</ref>
 Often “pseudonymization” is frequently confused with “[[Anonymous|anonymization]]”. Pseudonymous identifiers are not linked, but could be linked, to an individual’s identity that is held separately.<ref>https://ico.org.uk/media/about-the-ico/consultations/4019579/chapter-3-anonymisation-guidance.pdf</ref> Anonymous data cannot be linked to an individual, and as such is often excluded from data protection regulations.<ref>https://ico.org.uk/media/about-the-ico/consultations/4019579/chapter-3-anonymisation-guidance.pdf</ref>,<ref>https://gdpr-info.eu/recitals/no-26</ref>  A common example of anonymized data is when it is when the input data is made available only as a summarized, aggregated output metric.

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 Pseudonymization techniques include algorithmic functions (such as using a one-way process to transform input identifiers into outputted ones) or tokenization process (using a bi-directional mapping process to transform input identifiers into outputted ones). A common example of the former is hashing emails to produce a new pseudonymous identifier. A common example of the latter is relying on substitution (e.g., linking the zip 90210 to “Beverly Hills,” given there are other zip codes in that California region). Algorithmic functions are preferred as strong protections than substitution or tokenization forms of pseudonymization.<ref>https://ec.europa.eu/justice/article-29/documentation/opinion-recommendation/files/2014/wp216_en.pdf, section A.2</ref>
-Often “pseudonymization” is frequently confused with “anonymization”. Pseudonymous identifiers are not linked, but could be linked, to an individual’s identity that is held separately.<ref>https://ico.org.uk/media/about-the-ico/consultations/4019579/chapter-3-anonymisation-guidance.pdf</ref> Anonymous data cannot be linked to an individual, and as such is often excluded from data protection regulations.<ref>https://ico.org.uk/media/about-the-ico/consultations/4019579/chapter-3-anonymisation-guidance.pdf</ref>,<ref>https://gdpr-info.eu/recitals/no-26</ref>  A common example of anonymized data is when it is when the input data is made available only as a summarized, aggregated output metric.
+Often “pseudonymization” is frequently confused with “[[Anonymous|anonymization]]”. Pseudonymous identifiers are not linked, but could be linked, to an individual’s identity that is held separately.<ref>https://ico.org.uk/media/about-the-ico/consultations/4019579/chapter-3-anonymisation-guidance.pdf</ref> Anonymous data cannot be linked to an individual, and as such is often excluded from data protection regulations.<ref>https://ico.org.uk/media/about-the-ico/consultations/4019579/chapter-3-anonymisation-guidance.pdf</ref>,<ref>https://gdpr-info.eu/recitals/no-26</ref>  A common example of anonymized data is when it is when the input data is made available only as a summarized, aggregated output metric.
 == Regulator Perspectives ==

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 Pseudonymous means there are appropriate technical and operational processes within the organization using the identifier to keep this identifier separate from an individual’s identity. Pseudonymous information is one form of [[Personal Data]].
-“Pseudonymize” or “Pseudonymization” means the processing personal data such that the information no longer attributable to a specific individual without the use of additional information, provided that the additional information is kept separately and is subject to technical and organizational measures to ensure that this information is not subsequently mapped to an identifiable individual. Pseudonymization of personal data can reduce risks to data subjects and help controllers meet data-protection obligations. (GDPR Recital 28).
+“Pseudonymize” or “Pseudonymization” is a process to create an addressable identifier that is kept separate from an individual’s directly-identifiable identity with an appropriate technical or operational process. This means the information is no longer attributable to a specific individual without the use of additional information, provided that the additional information is kept separately and is subject to technical and organizational measures to ensure that this information is not subsequently mapped to an identifiable individual.
 [[Category:Personal Data|Pseudonymous]]
 [[Category:Glossary|Pseudonymous]]

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-Pseudonymous means there are appropriate technical and operational processes within the organization using the identifier to keep this identifier separate from an individual’s identity.
+Pseudonymous means there are appropriate technical and operational processes within the organization using the identifier to keep this identifier separate from an individual’s identity. Pseudonymous information is one form of [[Personal Data]].
 [[Category:Personal Data|Pseudonymous]]
 [[Category:Glossary|Pseudonymous]]

← Older revision		Revision as of 01:18, 8 January 2021
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	Pseudonymous means there are appropriate technical and operational processes within the organization using the identifier to keep this identifier separate from an individual’s identity.		Pseudonymous means there are appropriate technical and operational processes within the organization using the identifier to keep this identifier separate from an individual’s identity.

−	[[Category:Personal Data\|~~Pseudoymous~~]]	+	[[Category:Personal Data\|Pseudonymous]]
		+	[[Category:Glossary\|Pseudonymous]]

← Older revision		Revision as of 19:03, 7 January 2021
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	Pseudonymous means there are appropriate technical and operational processes within the organization using the identifier to keep this identifier separate from an individual’s identity.		Pseudonymous means there are appropriate technical and operational processes within the organization using the identifier to keep this identifier separate from an individual’s identity.
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		+	[[Category:Personal Data\|Pseudoymous]]