course
Data Integrity and data governance
Data Integrity and data governance
Data Integrity and data governance

About the Course

Introduction to this course: 

This course covers essential data integrity and data governance concepts, regulatory expectations, and the ALCOA+ principles. Gain the skills to manage data effectively throughout its lifecycle, ensuring accuracy, consistency, and reliability for drug and medical device safety.

 

Who should attend: 

This course is designed for professionals responsible for data management in regulated environments, and personnel involved in ensuring data integrity and regulatory compliance in GxP environments.


Learning outcomes: 

By the end of this lesson, you will be able to:

  • Define key terms related to data integrity and data governance.

  • Express the importance of data integrity and data governance by explaining the significance of ALCOA principles and how they apply to data management practices.

  • Enhance data integrity throughout the data lifecycle by applying ALCOA+ principles to evaluate and improve data management processes.


What will I gain: 

Participants will gain a comprehensive understanding of data integrity and data governance in GxP environments, and acquire practical skills in implementing ALCOA+ principles to ensure regulatory compliance and safeguard data quality, integrity, and reliability throughout its lifecycle.


Prerequisites: 

Prerequisites for this course include a basic understanding of GxP regulations and familiarity with quality management systems in the life sciences industry. Basic knowledge of data management practices and regulatory compliance standards is recommended.


Additional information: 


Course duration: 00:37:17

Course code/version (effective date): L-31/v1.0 (26/04/2023)

Course Categories

Data Integrity
Course Progress
Not started
Enroll
Course Outline
  1. Data integrity and data governance
    1. Lesson 1: Data Integrity Glossary (I)
    2. Lesson 2: Data Integrity Glossary (II)
    3. Lesson 3: Data Integrity Glossary (III)
    4. Lesson 4: ALCOA principles
    5. Reading: Why regulators are focusing on data integrity?
  2. Additional resources
    1. Mind map: Data integrity and data governance
    2. Reading: What are the ALCOA principles
    3. Reading: The importance of Data Integrity to transition to Pharma 4.0
  3. Survey
    1. Course survey
course
Data Integrity and data governance
Data Integrity and data governance
Course Progress
Not started
Enroll

About the Course

Introduction to this course: 

This course covers essential data integrity and data governance concepts, regulatory expectations, and the ALCOA+ principles. Gain the skills to manage data effectively throughout its lifecycle, ensuring accuracy, consistency, and reliability for drug and medical device safety.

 

Who should attend: 

This course is designed for professionals responsible for data management in regulated environments, and personnel involved in ensuring data integrity and regulatory compliance in GxP environments.


Learning outcomes: 

By the end of this lesson, you will be able to:

  • Define key terms related to data integrity and data governance.

  • Express the importance of data integrity and data governance by explaining the significance of ALCOA principles and how they apply to data management practices.

  • Enhance data integrity throughout the data lifecycle by applying ALCOA+ principles to evaluate and improve data management processes.


What will I gain: 

Participants will gain a comprehensive understanding of data integrity and data governance in GxP environments, and acquire practical skills in implementing ALCOA+ principles to ensure regulatory compliance and safeguard data quality, integrity, and reliability throughout its lifecycle.


Prerequisites: 

Prerequisites for this course include a basic understanding of GxP regulations and familiarity with quality management systems in the life sciences industry. Basic knowledge of data management practices and regulatory compliance standards is recommended.


Additional information: 


Course duration: 00:37:17

Course code/version (effective date): L-31/v1.0 (26/04/2023)

Course Outline
  1. Data integrity and data governance
    1. Lesson 1: Data Integrity Glossary (I)
    2. Lesson 2: Data Integrity Glossary (II)
    3. Lesson 3: Data Integrity Glossary (III)
    4. Lesson 4: ALCOA principles
    5. Reading: Why regulators are focusing on data integrity?
  2. Additional resources
    1. Mind map: Data integrity and data governance
    2. Reading: What are the ALCOA principles
    3. Reading: The importance of Data Integrity to transition to Pharma 4.0
  3. Survey
    1. Course survey

Course Categories

Data Integrity
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