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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. [1] Data classification is typically a manual process; however, there are tools that can help gather information about the data. [2] Data sensitivity levels are often proposed to be considered. [2]
The initial ODNI review, completed in January 2008, found that "There appears to be no common understanding of classification levels among the classification guides reviewed by the team, nor any consistent guidance as to what constitutes 'damage,' 'serious damage,' or 'exceptionally grave damage' to national security." [51]
Level of measurement or scale of measure is a classification that describes the nature of information within the values assigned to variables. [1] Psychologist Stanley Smith Stevens developed the best-known classification with four levels, or scales, of measurement: nominal , ordinal , interval , and ratio .
There are three levels of classification—Secret, Top Secret, and Top Secret of Particular Importance. [36] The levels are set by the Romanian Intelligence Service and must be aligned with NATO regulations—in case of conflicting regulations, the latter are applied with priority. Dissemination of classified information to foreign agents or ...
Within the U.S. government, security clearance levels serve as a mechanism to ascertain which individuals are authorized to access sensitive or classified information. These levels often appear in employment postings for Defense related jobs and other jobs involving substantial amounts of responsibility, such as air traffic control or nuclear ...
Data classification may refer to: Data classification (data management) Data classification (business intelligence) Classification (machine learning), classification of data using machine learning algorithms; Assigning a level of sensitivity to classified information; In computer science, the data type of a piece of data
SCI is not a classification; SCI clearance has sometimes been called "above Top Secret", [2] but information at any classification level may exist within an SCI control system. When "decompartmentalized", this information is treated the same as collateral information at the same classification level.
OFFICIAL includes most public-sector data, including a wide range of information on day-to-day government business. It is not subject to any special risks. Personal data would usually be OFFICIAL. [4] The data should be protected by controls based on commercial best practice instead of expensive, difficult specialist technology and bureaucracy ...
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