Anonymization

Anonymization - The process of removing information from a data source (e.g. file) that can be used to backtrack to an actual person. Once anonymized, the data cannot be linked to any source. Unlike filtering and encryption, this technique and encrypting is that the original field layout (position, size, and data type) can remain the same, and look realistic in test data environments.

[Category=Data Governance ]

Source: The Data Governance Institute, 17 November 2009 08:58:33, www.datagovernance.com/glossary_a.html

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Anonymization – making data anonymous; removing all data points that could lead to identify a person.

[Category=Big Data ]

Source: BigData-Startup, 20 September 2013 09:02:43, http://www.bigdata-startups.com/abc-big-data-glossary-terminology

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anonymization - The severing of links between people in a database and their records to prevent the discovery of the source of the records.

[Category=Big Data ]

Source: DataInformed, 15 October 2013 09:26:38, http://data-informed.com/glossary-of-big-data-terms/