What are the phases of the data lifecycle?

The phases of the data lifecycle encompass a comprehensive view of how data is handled from its inception to its eventual disposal. The correct option outlines these phases as data creation, storage, usage, sharing, archiving, and destruction.

This understanding is critical because each phase impacts how data is governed and utilized within organizations.

1. Data Creation refers to the initial generation of data, whether it's through forms, sensors, or other means.
2. Storage involves keeping data in databases or cloud services, ensuring it is securely and efficiently retained for further access.
3. Usage reflects the application of data in decision-making, analysis, or operational processes, highlighting its role in driving value for organizations.
4. Sharing is essential in promoting collaboration and transparency, allowing stakeholders to utilize the data effectively.
5. Archiving signifies the process of storing data that is no longer actively used but should be preserved for future reference, compliance, or analysis.
6. Destruction involves the final phase where data that is no longer needed or relevant is securely erased to prevent unauthorized access or breaches.

Recognizing these phases is vital for effective data management strategies, ensuring that data is handled ethically, securely, and in compliance