What stages are typically included in a data lifecycle?

• A. Creation, Storage, Analysis, Deletion
• B. Creation, Storage, Usage, Archiving, Deletion, with governance at each stage
• C. Collection, Storage, Usage, Retention
• D. Acquisition, Processing, Visualization, Archiving

Answer: (B)

Data lifecycle management is about the flow of data from its creation to its deletion, with governance guiding actions at every step. Starting with creation, governance ensures data quality, proper consent, clear classification, and appropriate metadata so the data is useful and compliant from the outset. In storage, it's about security, encryption, access controls, and organized metadata so data stays protected and discoverable. When data is used or processed, governance enforces privacy, access rights, auditing, and controls on how data is shared or transformed. Archiving brings data that is no longer active into long-term, compliant storage with defined retention rules and accessibility considerations for audits or future needs. Finally, deletion ensures data is removed securely in line with retention policies and regulatory requirements.

Including governance at each stage helps meet regulatory obligations, maintain data quality, manage risk, and support proper retention and disposal. This makes the creation, storage, usage, archiving, and deletion sequence with governance at every step the most complete representation of the data lifecycle. Other options miss one or more essential stages or omit governance across stages, so they don’t fully capture how data should be managed throughout its life.