Data Lifecycle Management (DLM) is a systematic approach to managing data throughout all stages of their existence, from creation and usage to archiving and deletion. In the context of education, business, and handling sensitive information, managing the data lifecycle plays a key role in implementing security measures, ensuring legal compliance, and improving operational efficiency.
Understanding and using data lifecycle management tools is important because they enable secure, efficient, and compliant handling of data from their creation to deletion. These tools assist in the following areas:
- Automated management of data lifecycle stages – managing data from creation, use, and archiving to deletion
- Classification and metadata – tagging data according to type, sensitivity, ownership, and business value
- Access tracking and auditing – recording who accessed data and when
- Resource optimisation – automating storage, archiving, and deletion of obsolete data
- Regulatory compliance – supporting legal requirements related to privacy, security, and transparency
Below is a list of various data lifecycle management tools. Participants are required to research one of the listed tools from the group or similar free tools for managing the data lifecycle.
Data Lifecycle Management Tools:
- Data collection and entry
- Data storage
- Data processing
- Data archiving
- Secure deletion from hard drives and end-of-life data management
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