Data Management Skillbuilding Hub

Best Practice: Backup your data

BEST PRACTICE

Best Practices by Data Life Cycle




Backup your data

Data Life Cycle stage(s): Preserve

To avoid accidental loss of data you should:

  • Backup your data at regular frequencies
    • When you complete your data collection activity
    • After you make edits to your data
  • Streaming data should be backed up at regularly scheduled points in the collection process
    • High-value data should be backed up daily or more often
    • Automation simplifies frequent backups
  • Backup strategies (e.g., full, incremental, differential, etc…) should be optimized for the data collection process
  • Create, at a minimum, 2 copies of your data
  • Place one copy at an “off-site” and “trusted” location
    • Commercial storage facility
    • Campus file-server
    • Cloud fire-server (e.g., Amazon S3, Carbonite)
  • Use a reliable device when making backups
    • External USB drive (avoid the use of “light-weight” devices e.g., floppy disks, USB stick-drive; avoid network drives that are intermittently accessible)
    • Managed network drive
    • Managed cloud file-server (e.g., Amazon S3, Carbonite)
  • Ensure backup copies are identical to the original copy
    • Perform differential checks
    • Perform “checksum” check
  • Document all procedures to ensure a successful recovery from a backup copy

Description Rationale

To avoid data loss, and to retain information held in earlier versions, it is valuable to back-up your data at frequent intervals and in multiple locations.

Additional Information:

http://en.wikipedia.org/wiki/Backup
http://www.carbonite.com/
http://aws.amazon.com/s3/
http://en.wikipedia.org/wiki/Incremental_backup

Tags

 
 

Cite this best practice:

DataONE Best Practices Working Group, DataONE  (July 01, 2010) "Best Practice: Backup your data". Accessed through the Data Management Skillbuilding Hub at https://dataoneorg.github.io/Education/bestpractices/backup-your-data on Mar 01, 2024


Home

Hosted by DataONE

In collaboration with the community, DataONE has developed high quality resources for helping educators and librarians with training in data management, including teaching materials, webinars and a database of best-practices to improve methods for data sharing and management.

Question If you have a question or concern, please open an Issue in this repository on GitHub.