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Data, information, knowledge and processing

Content:

  • data information and knowledge;
  • types of data;
  • sources of data;
  • static and dynamic data;
  • quality of information;
  • encoding data;
  • validation and verification;
  • backup and archive;
  • cost of information;
  • inputprocessoutputfeedback loop.


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