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Control of anonymity
- Do the data contain directly identifiable personal data such as personal identification numbers, names, addresses or phone numbers?
- Do the data contain indirectly identifiable personal data? This is determined by:
- combining different information, e.g. geographical information/variables (municipality number, ward or district) with other background information such as income, education, occupation or position.
- checking the sample size. In a small sample, information such as gender or age can make the personal data indirectly identifiable.
- checking the composition of the sample. If, for example, a sample's gender or age distribution is biased, it may be enough to make the data indirectly identifiable.
- checking the data's degree of detail. If, for example, the occupation and education variables are very detailed (four or five-digit level), the data set is more likely to be indirectly identifiable.
The result of this control decides the further processing and storage. NSD distinguishes between anonymous and personal data.
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