Data Integrity Training

Data Integrity Training

Build Competency in Maintaining Compliance Across Computerized & Paper-Based Systems

Computerized systems are widely used in pharmaceutical and biopharmaceutical environments to capture, analyze, store, and report data, and to control equipment and processes. Internal and external audits have consistently revealed gaps in validated computer controls and Data Integrity (DI), which has led to strong enforcement by global regulatory agencies such as FDA and EMA.
This two-day training provides a step-by-step understanding of DI methodology, regulatory expectations, and practical implementation techniques. Through real examples, case discussions, and interactive exercises, participants learn how to establish DI controls correctly the first time and build a reliable data management system that withstands inspection and audit scrutiny.

Target Audience

QA / QC
Production
Validation
Engineering
Audit & Documentation Teams
Technical Support & Training Personnel
Maintenance Teams

Course Outline

Day One

Background and introduction to Data Integrity

Introduction to the Data Life Cycle model

Stage 1 – Data Collection
Stage 2 – Data Processing
Stage 3 – Data Review
Stage 4 – Data Reporting
Stage 5 – Data Archiving
Stage 6 – Risk identification, audit challenge and threat management
Computerized System Validation and DI fundamentals
GAMP with DI requirements
Industry regulations and guidance (FDA and EU)

Day Two

Workshop: verifying FDA and EU DI requirements
Required documentation for DI compliance
Steps to establish and sustain data integrity
Practical DI implementation strategies
21 CFR Part 11 — Electronic Records & Electronic Signatures
MHRA Data Integrity requirements
FDA warning letters and real case learnings

Duration

Two days

Key Takeaways

Understand the meaning and scope of Data Integrity in pharma
Interpret EMA, FDA, and MHRA expectations for DI
Identify DI gaps in both paper-based and computerized systems
Distinguish between genuine errors and data manipulation
Build and sustain a strong data management and integrity culture
Implement DI controls that stand up to inspections and audits

Categories

We understand the importance of approaching each work integrally and believe in the power of simple.

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