CSV vs CSA in 2025: What Changes and What Doesn’t

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Computer software assurance is the FDA’s risk-based way to build confidence in software that supports production and quality activities.  If you have lived in classic CSV world, this post explains CSA vs CSV, where CSA applies, what stays the same, and how to roll it out in 90 days.  We also cover FDA CSA guidance, […]

Metrics that Matter in Validation Lifecycle Management

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Validation lifecycle management is not a one-off task. It is the system that plans, builds, tests, releases, and maintains GxP changes in a repeatable way. If you do not measure it, you cannot improve it.  This guide walks through a practical set of metrics and KPIs you can put to work right now. You will […]

Data Migration Validation for Regulated Systems

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CSV data migration is the controlled process of moving regulated records between systems and proving, with evidence, that the records keep their value, meaning, and traceability.  As your number one validation lifecycle management system, in this guide we give you a simple path you can follow on real projects, along with acceptance criteria and an […]

FDA’s Guidance on Data Integrity

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FDA’s guidance on data integrity lays out how drug makers can ensure their records are complete, accurate, and reliable. In this blog, we’ll cover: Whether you’re new to data integrity or looking to sharpen your systems, you’ll walk away with clear, practical steps to meet FDA data integrity expectations, so you can focus on what […]

Best Practices and Challenges for Computerized System Validation in Pharma

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Computerized system validation is the process of proving that software and hardware used in pharmaceutical operations do exactly what they’re designed to do, consistently and safely. By following Computer System Validation in the Pharmaceutical Industry principles, organizations ensure data integrity, patient safety, and regulatory compliance. By reading this blog, you will learn: Whether you’re planning […]

Challenges in Maintaining Data Integrity and How to Overcome Them

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Challenges in maintaining data integrity is important for reliable decision making. When you can maintain data integrity, every report, every analysis, and every operation rests on solid ground. Yet even small teams face data integrity issues that can slow projects, erode trust, and drive up costs. In this blog, we’ll explore: As Validfor, a digital […]

Implementing Data Integrity Policies in Pharmaceutical

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In this blog, we cover: What Are Data Integrity Policies in Pharma? Data integrity policies are clear rules for data handling. They make sure every entry is correct. They stop records from being lost or altered. Moreover, they let you trace data back to its source. These rules use a simple acronym: ALCOA+. It stands […]

The Importance of ALCOA Principles in Pharma

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ALCOA principles are the five pillars, Attributable, Legible, Contemporaneous, Original, and Accurate, that ensure reliable data in regulated industries.  In this blog, you’ll discover the ALCOA principles definition, why alcoa principles data integrity matters, real world ALCOA principles examples, and how these rules guide good practice in clinical research and pharma.  By the end, you’ll […]

Understanding Data Integrity in the Pharmaceutical Industry

Data Integrity in Pharmaceutical Industry

Data Integrity Policy for Pharmaceutical Industry is a set of rules and practices to keep data accurate, complete, and reliable.  In this blog, we’ll explain what is data integrity, why data integrity matters for pharmaceutical industry, and how to provide data integrity for pharmaceutical industry.  You’ll also learn how to create yourself a basic policy […]

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