Data integrity
Data Integrity
Data Integrity (pronounced: /ˈdeɪtə ɪnˈtɛɡrɪti/) is a fundamental aspect of information security that ensures the accuracy, consistency, and reliability of data during its entire lifecycle.
Etymology
The term "Data Integrity" is derived from the Latin words "datum" meaning "something given" and "integritas" meaning "wholeness" or "completeness".
Definition
Data Integrity refers to the overall completeness, accuracy and consistency of data. This means that data must not be altered or destroyed in an unauthorized manner, and must be accessible and retrievable for authorized personnel when needed.
Importance
Data Integrity is crucial in the Healthcare industry and Medical research as it ensures that data is accurate, reliable and consistent, which is vital for patient care, regulatory compliance, and medical discoveries.
Types of Data Integrity
There are two main types of Data Integrity: Physical and Logical.
- Physical Data Integrity: This ensures that the physical files of the database are error-free and are not corrupted in any way.
- Logical Data Integrity: This ensures that the data is accurate and consistent within the entire database system.
Related Terms
- Data Security: This refers to the measures taken to protect data from unauthorized access or corruption.
- Data Validation: This is the process of checking if the data meets certain criteria or requirements.
- Data Consistency: This refers to the state where data is the same across all platforms and databases.
- Data Accuracy: This refers to the degree to which data correctly describes the real world object or event being described.
- Data Reliability: This refers to the consistency of data over time and its ability to provide accurate information.
External links
- Medical encyclopedia article on Data integrity
- Wikipedia's article - Data integrity
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