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Data classification (data management)
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<p>Data classification is the process of <a href="/facts/Knowledge_organization_(management)/aTBUVeY9">organizing data into categories</a> based on attributes like file type, content, or <a href="/facts/Metadata/qt35z79C">metadata</a>. The data is then assigned <a href="/facts/Label/7bducQe4">class labels</a> that describe a set of attributes for the corresponding <a href="/facts/Data_set/eDvegUTK">data sets</a>. The goal is to provide meaningful class attributes to former less structured information. </p><p>Data classification can be viewed as a multitude of labels that are used to define the type of data, especially on confidentiality and integrity issues. Data classification is typically a manual process; however, there are tools that can help gather information about the data. Data sensitivity levels are often proposed to be considered. </p>