Explains anonymisation against pseudonymisation

https://knobit.org/id/knobit/S-253

Context functions	Object understanding
Knobit creation methods	AI generated
Knobit types	Knowledge
LCG purposes	Assessing the learner's knowledge or skill state
LCG purposes	Opening up a learning outcome
action verb	Explains en
assessment criterion	Answers a written question on the anonymisation and pseudonymisation correctly en
assessment method	Written question en
conforms to profile	https://oppekava.edu.ee/a/Knobitite_kirjeldamise_ja_seostamise_reeglid#LCG-KNOBIT-0.1
dcterms:identifier	S-253
dcterms:license	https://creativecommons.org/licenses/by/4.0/
dcterms:source	Practice the stage 2 reference and review checklist rest on en
expected result	Hashed or tokenised identifiers remain personal data (GDPR recital 26); an aggregate is anonymous only if no group can single out a person (minimum group size, small-cell suppression; ISO/IEC 20889). en
owl:sameAs	https://bitbucket.org/reffa/ontology/id/knobit/data-security/02-classification/S-253
rdfs:label	Explains anonymisation against pseudonymisation en
schema:creativeWorkStatus	accepted
schema:isPartOf	Data security and privacy (DAMA-DMBOK2)
skos:definition	Hashed or tokenised identifiers remain personal data (GDPR recital 26); an aggregate is anonymous only if no group can single out a person (minimum group size, small-cell suppression; ISO/IEC 20889). en
skos:prefLabel	Explains anonymisation against pseudonymisation en
target object	anonymisation and pseudonymisation en

Used by

applies knowledge	Recognises an aggregate still identifying a person
applies knowledge	Recognises pseudonymised data treated as anonymous
includes knobit	Classifies every column, derived ones included, at the level its data demands
includes knobit	Obfuscation or masking; de-identification
requires knobit	Classify data