Final answer:
The 7 phases of the data lifecycle generally include Preparatory, Data Collection, Data Processing, Data Storage, Data Management, Usage, and Archival or Disposal phases. These stages ensure the effective management and use of data throughout its lifespan.
Step-by-step explanation:
The 7 Phases of the Data Lifecycle:
The data lifecycle involves several key phases that ensure the effective management and utility of data. Although the image provided does not list all seven specific phases, in a general understanding, the 7 phases of the data lifecycle include:
- Preparatory Phase: Establishing the goals, obtaining and preparing data resources.
- Data Collection Phase: Gathering data from various sources.
- Data Processing Phase: Transforming raw data into a more usable format.
- Data Storage Phase: Keeping the data securely in databases or other storage solutions.
- Data Management Phase: Ensuring the quality and accessibility of data.
- Usage Phase: Utilizing the data for analysis or decision-making purposes.
- Archival or Disposal Phase: Storing data for long-term preservation or securely disposing of it when no longer needed.
It should be noted that the original question might have referred to a specific context or model with its own terminology, but the list above broadly covers the conventional stages the data goes through from creation to eventual archival or disposal.