1. Data vs. Information
In ICT, the terms Data and Information represent two distinct stages in processing:
- Data: Raw, unprocessed facts, figures, symbols, or observations. Data lacks context and has no direct meaning on its own (e.g., the number 38, or a list of scores: 85, 90, 72).
- Information: Data that has been processed, organized, structured, or presented in a given context to make it useful and meaningful (e.g., "The average classroom score is 82%").
2. The Data Life Cycle
Data flows through a structured cycle to ensure relevance and security:
- Data Creation/Gathering: Acquiring raw facts from sources (sensors, questionnaires, online forms).
- Data Management/Processing: Storing, cleaning, sorting, and transforming raw data into structured assets.
- Removal of Obsolete Data: Safely archiving or destroying expired data that is no longer required or correct.
3. Characteristics of Quality Information
For information to be valuable in decision-making, it must possess key characteristics:
- Accuracy: Free from errors or bias. Incorrect data leads to wrong decisions.
- Timeliness: Available when needed. Stale information is useless for active planning.
- Relevance/Context: Directly matches the user's specific informational needs.
- Understandability: Presented in a clear, accessible format.
