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CROS

Personal data

Document date: 
Wednesday, 8 May, 2019
Language: 
English

Personal data

DEFINITION:
Personal data is any information relating to an identified or identifiable natural person (“Data subject”). An identifiable person is one who can be identified, directly or indirectly. Where an individual is not identifiable, data are said to be anonymous.

SOURCES:

Primary source: CODED

INTERPRETATION:

Examples of Personal data are name, Address, telephone number, but also health information or income. For obeying the rules about privacy of Statistical data any Personal data which allow the identification of the person, must not be published. Additionally, data, which allow Indirect identification of a person, must also not be published. 

CONTEXT:

In the case of Administrative data, the ideal way to ensure privacy of Personal data is Anonymization. For allowing the use of these data in statistical processing Pseudonymisation of Administrative data is often an accepted compromise.

ADDITIONAL INFORMATION:

One should distinguish between Personal data used as input for statistical processing and Personal data in a Statistical product. For input data Pseudonymisation is often a useful approach. For Statistical products like Tables the output must be safe in that sense that persons cannot be identified from the published statistical information. Statistical disclosure control offers a number of techniques for guaranteeing privacy.

RELATED TERMS:

Address, Dwelling, Household, Social statistics

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