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An introduction to data integrity
1. An Introduction to Data Integrity…
Truthful
Verifiable Accurate
Data
Integrity
Retrievable Complete
2. A Definition…
• Data integrity is a term used to refer to
the accuracy, reliability and consistency
of stored data over its entire life-cycle,
indicated by an absence of any alteration
between two updates of a data record.
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3. Data Integrity Assurance…
Data integrity is imposed within the
computerized system at its design stage
through the use of standard rules and
procedures and is maintained through the
user of validation and/or qualification
protocols, periodic auditing and pro-
active security and access management.
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4. Data Integrity Important because…
• Ensure product / service quality
• Safety and Privacy of customers (e.g. patients,
users of social media)
• Key business processes are managed via
electronic controlled systems
• Increasing of interaction between computer
systems that support business processes
(Internet, enterprise systems, wireless, mobile
devices)
• Increasing focus by Authorities and Regulations
on data integrity related issues
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5. Examples of Data Integrity Issues…
• Out-sourcing of activities to other countries / part of
the world
• Economic situation
• No experience with Data Review Practices
• Entering new markets (Supply Chain)
• No oversight on data flows within organization
• Data transfer between systems
• Errors in transcription of raw data
• Backdating
• Reporting only favorable results
• Reporting unrealistic results
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6. What is a computerized system…
Computerized System
Equipment Hardware
Instruments Network
Procedures Software
Documentation Supporting Personnel
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7. What is a computerized system…
An organized set of hardware, software,
networks, equipment or instruments, and
supporting personnel, procedures, and
documentation, that collectively defines
and controls the performance of one or more
automated business process.
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