course

Data Integrity and Data Governance Course | Scilife Academy

Data Integrity and Data Governance Course | Scilife Academy
Data Integrity and Data Governance Course | Scilife Academy

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
course

Data Integrity and Data Governance Course | Scilife Academy

Data Integrity and Data Governance Course | Scilife Academy
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

Course Categories

Data Integrity