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Integrity of Data

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  • Data integrity — in its broadest meaning refers to the trustworthiness of system resources over their entire life cycle. In more analytic terms, it is the representational faithfulness of information to the true state of the object that the information represents …   Wikipedia

  • Data remanence — is the residual representation of data that remains even after attempts have been made to remove or erase the data. This residue may result from data being left intact by a nominal file deletion operation, by reformatting of storage media that… …   Wikipedia

  • Data Privacy Day — Date January 28 Data Privacy Day is an international holiday that occurs every January 28.[1] The purpose of Data Privacy Day is to raise awareness and promote privacy education. It is currently celebrated in the United States, Canada, and 27… …   Wikipedia

  • data protection —    Techniques used by network operating systems to ensure the integrity of data on the network, including protecting data against surface defects developing on the disk and storing redundant copies of important system data, such as file indices… …   Dictionary of networking

  • data hygiene — /deɪtə ˈhaɪdʒin/ (say daytuh huyjeen) noun Computers the practices associated with maintaining the integrity of data, as by keeping it up to date, removing duplications and errors, etc …  

  • Data sharing — is the practice of making data used for scholarly research available to other investigators. Replication has a long history in science. The motto of The Royal Society is Nullius in verba , translated Take no man s word for it. [1] Many funding… …   Wikipedia

  • Data warehouse — Overview In computing, a data warehouse (DW) is a database used for reporting and analysis. The data stored in the warehouse is uploaded from the operational systems. The data may pass through an operational data store for additional operations… …   Wikipedia

  • Integrity constraints — are used to ensure accuracy and consistency of data in a relational database. Data integrity is handled in a relational database through the concept of referential integrity. There are many types of integrity constraints that play a role in… …   Wikipedia

  • Data quality — Data are of high quality if they are fit for their intended uses in operations, decision making and planning (J. M. Juran). Alternatively, the data are deemed of high quality if they correctly represent the real world construct to which they… …   Wikipedia

  • Data consistency — summarizes the validity, accuracy, usability and integrity of related data between applications and across an IT enterprise. This ensures that each user observes a consistent view of the data, including visible changes made by the user s own… …   Wikipedia

  • Data masking — is the process of obscuring (masking) specific data elements within data stores. It ensures that sensitive data is replaced with realistic but not real data. The goal is that sensitive customer information is not available outside of the… …   Wikipedia

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