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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. DMDE - Wikipedia

   en.wikipedia.org/wiki/DMDE

   DMDE (DM Disk Editor and Data Recovery Software) is a data recovery and disk editing tool for hard drives and other storage media. It can work with physical devices, logical disks, disk images, as well as RAID-arrays and recovers files that have been accidentally deleted or lost due to other incidents.

4. List of data-erasing software - Wikipedia

   en.wikipedia.org/wiki/List_of_data-erasing_software

   List of data recovery software This page was last edited on 11 October 2024, at 12:13 ... This page was last edited on 11 October 2024, at 12:13 (UTC).

5. SecureDataRecovery - Wikipedia

   en.wikipedia.org/wiki/SecureDataRecovery

   The company now provides professional data recovery services to companies and organizations around the world. [1] Secure Data Recovery began offering digital forensics services in 2014, and the company added new products and services including several do-it-yourself Windows-based data recovery software solutions in 2016. [4]

6. TestDisk - Wikipedia

   en.wikipedia.org/wiki/TestDisk

   TestDisk is a free and open-source data recovery utility that helps users recover lost partitions or repair corrupted filesystems. [1] TestDisk can collect detailed information about a corrupted drive, which can then be sent to a technician for further analysis.

7. ddrescue - Wikipedia

   en.wikipedia.org/wiki/Ddrescue

   GNU ddrescue is a data recovery tool for disk drives, DVDs, CDs, and other digital storage media. It copies raw blocks of storage, such as disk sectors , from one device or file to another, while handling read errors in an intelligent manner to minimize data loss by scraping good sectors from partially read blocks.