Data Integrity and Validation Methods Checklist

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Data Integrity and Validation Methods Checklist:

1. Input Validation:
   • Verify user input against expected formats and values
   • Use regular expressions or built-in validation libraries
2. Output Validation:
   • Validate output data before returning it to users
   • Ensure outputs are in expected formats (e.g., JSON, CSV)
3. Data Sanitization:
   • Remove unnecessary characters and tags from input data
   • Use HTML sanitization libraries or functions
4. Format Checks:
   • Verify dates, timestamps, and numerical values conform to expectations
   • Check for missing or incomplete required fields
5. Consistency Checks:
   • Ensure data consistency across multiple systems or platforms
   • Validate that all related data points match (e.g., user information)
6. Data Type Checking:
   • Verify the correct data type is used for each field (e.g., integer, string)
   • Use specific validation libraries or built-in type checking functions
7. Error Handling and Logging:
   • Implement robust error handling mechanisms
   • Log errors to track issues and improve system reliability
8. Regular Security Audits:
   • Perform regular security audits to identify potential vulnerabilities
   • Update data integrity methods as needed to stay secure
9. Data Encryption:
   • Use encryption for sensitive or regulated data (e.g., PII, PCI)
   • Ensure proper key management and rotation
10. Access Control Lists (ACLs):
    • Implement ACLs to control who can read or modify specific data
    • Use permission-based access controls for added security

Ensures data accuracy and consistency across all systems and processes Reduces errors and discrepancies caused by manual data entry or incorrect data formats Improves confidence in data-driven decision-making through reliable and trustworthy data Enhances compliance with regulatory requirements and industry standards Streamlines audits and quality control processes by providing a standardized framework for data validation

1. System Design
2. Data Collection and Entry
3. Data Storage and Management
4. Data Retrieval and Reporting
5. Data Backup and Recovery
6. User Authentication and Authorization
7. Data Encryption and Access Control
8. Monitoring and Auditing Trails
9. Review and Approval Processes
10. Corrective Action and Preventive Action (CAPA) Procedures