Implementing data quality throughout the trial lifecycle

Regulations / 24 Apr, 2023

Webinar Recording: Implementing data quality and integrity to improve decision making throughout the entire trial lifecycle

Rapid world growth, globalization and advanced technologies are emphasizing the need for high standards of data quality and integrity. Good data practices will enrich the quality of data, enabling life science companies to make strategic decisions based on trustable data and analytical insights. 

Join us for this complimentary 60-minute webinar recording as we delve into the support process around data activities being deployed by sponsors. We will discuss how clinical trial and data science professionals are identifying and mitigating risks for reliability, quality, integrity, and traceability of data while following a set of guiding principles: ALCOA. 

We were joined by panellists:

Jennifer Lee Senior Strategic Advisor ClinAI Jay Russak, MBA Sr. Director, Clinical Operations Keros Therapeutics Matthew Addis Co-Founder and CTO Arkivum








Instantly access the recording by filling out the form below:

Learning Objectives: 

  • Ensuring data quality through Attributable, Legible, Contemporaneous, Original, and Accurate (ALCOA) attributes Establishing and monitoring the support processes around data activities for continuous improvement and overall quality 
  • Identifying and mitigating risks for reliability, quality, integrity, and traceability of data 
  • Employing source data verification when needed to verify the origin and accuracy of information 


Caitlin Morris

Caitlin is the Content Marketing Manager at Arkivum. She joined the company in 2022 and is responsible for internal and external content creation and management. Caitlin has over 4 years of business and marketing experience.

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