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Data Integrity

Data Integrity is defined as that data that has a complete or whole structure or in other terms the validity of data and their relationships. All characteristics of the data including business rules, rules for how pieces of data relate dates, definitions and lineage must be correct for data to be complete. For electronic records to be trustworthy and reliable, the links between raw data, metadata, and results must not be compromised or broken. Without data integrity, it is not possible to regenerate a previous result reliably.

Pharma IQ

In this podcast Andrew Miller, Director of Clinical Information Standards at Astrazeneca, discusses data management and the efforts to standardise.  

Contributor: Pharma IQ
05/11/2010 08:00:00 PM EDT