Data validation – Why, What and How in the context of new technology
November 7, 2019 - held in Chinese
Data validation is one of the key activities and critical process to ensure good data quality for a clinical trial. Defining the data validation strategy depends on data requirements, fit-for-purpose quality. In addition, data validation is a cross-functional activities and heavily rely on the EDC system functionality and other tools. New technology landscape helps improve the efficiency of data validation. During this webinar, the Instructor will introduce:
(a) Data management assumption
b) Fit-for-purpose data quality
b)Type of data validation
c)Strategy and considerations
WHAT YOU'LL LEARN
- Understand the data management assumptions and the data requirement (present and future)
- Understand the data validation strategy and considerations
- Understand how the technology advancement could improve data validation
WHO SHOULD ATTENDData Managers with intermediate through advanced levels of experience with determining Data validation checks and metrics. Participants will benefit from this Webinars' review of current Data Validation methodologies.
WHAT ARE THE BENEFITS
Better understand how the technology improve data validation and learn more about data validation strategy and consolidation.
MEET THE PRESENTERStella Gu, Senior Data Manager, Roche (China) Holding Ltd.
Stella Gu, serves as Senior Data Manager in Roche (China) Holding Ltd. She graduated from Tongji University with master degree of Biomedical Engineering. Stella has 8 years’ experience in clinical data management as study coordinator and study data manager in Global Medical Consulting services, Quintiles and Roche. Stella is the expert in using different EDC systems, including Rave, Oracle, OC-RDC, InForm, and familiar with different reporting tools, such as I-Review, J-Review, Hyperion and Spotfire. Besides, she has one year’s experience of study management in clinical operation team, managing internal and external partners. Stella has deep understanding on the drug development and project management, and has unique insights on data management.
Participants are eligible to receive CEUs upon attendance and successful completion of a web-based assessment within 30 days after the webinar. CEUs are not granted after the 30-day assessment deadline.
SCDM is authorized by IACET to offer 0.2 CEUs for this program.
|Group (max. 10 ppl.)||$960||$1,140|
Group Registration Policy: Any group registration allows up to 10 people to attend the webinar and to complete the webinar assessment. Credits will be granted on an individual basis upon successful completion of the assessment by the registered participants.
Refund Policy: Participants will receive a full refund if notice is provided in writing via post or email one week prior to the webinar date. If cancellation occurs within the week prior the webinar, participants will be allowed to apply 50% of the webinar fee to the next offering of the same webinar. No refunds will be offered after that time.
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