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Data Integrity requirements for Pharmaceuticals

Develop essential life sciences skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of life sciences
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of life sciences
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in life sciences
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

Data Integrity is one of the basic GMP principles since years multiple Data Integrity citations were reported by FDA und European inspectors during the last 3 years. Many US Warning Letters and EU Non-Compliance Reports deal with serious Data Integrity violations. Data Integrity questions have been and will continue to be the focus of many GMP inspections.

As a consequence international authorities - FDA, EMA, PIC/S, WHO, MHRA - published draft and final documents to describe the regulatory expectations of Data Integrity. Although all guidelines are not intended to impose additional regulatory burden to the regulated companies, a lot of uncertainty predominates the pharmaceutical industry how to implement these requirements into the daily business. The learning objectives are firstly, understand the data integrity requirements of a GMP regulated laboratory in pharmaceutical organisations and contract labs and secondly, how laboratory personnel can ensure compliance and be able to defend their positions.

Second person review is a critical process that needs to be thorough and effective to ensure that data issues are picked up and resolved. Hence, this course is designed in such a way that, the students will understand basics in data integrity and audit trail review, further they will understand very small difference between good documentation Practices requirements and data integrity requirements. There is specialised session to focus the data integrity requirements for analytical laboratories and Microbiology laboratories.

Note that this course will focus only on hybrid and electronic systems and will not consider paper-based data integrity.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Science & Academia

Topics Covered

Life SciencesUi

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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