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  2. Data recovery - Wikipedia

    en.wikipedia.org/wiki/Data_recovery

    The most common data recovery scenarios involve an operating system failure, malfunction of a storage device, logical failure of storage devices, accidental damage or deletion, etc. (typically, on a single-drive, single-partition, single-OS system), in which case the ultimate goal is simply to copy all important files from the damaged media to another new drive.

  3. SecureDataRecovery - Wikipedia

    en.wikipedia.org/wiki/SecureDataRecovery

    Secure Data Recovery Services began operations in 2007 with the establishment of its first lab facility in Los Angeles, California. [2] Additional labs in Cleveland, Ohio and Toronto, Ontario in Canada, soon followed, each with Class 10 ISO 4 cleanrooms and advanced data security standards and certifications. [3]

  4. Data loss - Wikipedia

    en.wikipedia.org/wiki/Data_loss

    Data recovery is often performed by specialized commercial services that have developed often proprietary methods to recover data from physically damaged media. Service costs at data recovery labs are usually dependent on type of damage and type of storage medium, as well as the required security or cleanroom procedures.

  5. DriveSavers - Wikipedia

    en.wikipedia.org/wiki/DriveSavers

    DriveSavers, Inc. is a computer hardware data recovery company located in Novato, California. [ 2 ] [ 3 ] [ 4 ] It was founded by former CEO Jay Hagan and former company President Scott Gaidano in 1985.

  6. Seagate Technology - Wikipedia

    en.wikipedia.org/wiki/Seagate_Technology

    In 2005, Seagate acquired Mirra Inc., a producer of personal servers for data recovery. It also acquired ActionFront Data Recovery Labs, which provides data recovery services. [89] In 2006, Seagate acquired Maxtor in an all-stock deal worth $1.9 billion, and afterwards continued to market the separate Maxtor brand. [90]

  7. Critical data studies - Wikipedia

    en.wikipedia.org/wiki/Critical_data_studies

    Critical data studies is the exploration of and engagement with social, cultural, and ethical challenges that arise when working with big data. It is through various unique perspectives and taking a critical approach that this form of study can be practiced. [1]

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