Within Clinical Data Management our ultimate goal is to ensure that all data collected within a clinical study is clean, clear, concise and appropriate. This course provides an introduction to the principles of data validation by explaining the why, who, what and when components of data validation. The course then moves on to fundamentals of effective query writing by highlighting the dos and don’ts of composing query message text to ensure queries are appropriate and are not leading.
The course is suited to data managers new to the role and also non data managers who are involved in validation and query management.
By the end of this course you will:
- Be able to describe why data is validated, who is responsible for data validation and where data validation takes place
- Understand the importance of data validation
- Understand the Dos and Don’ts of writing query message text
- Appreciate that queries can be mitigated by using other tools
This course looks at both the Sponsor and CRO viewpoints on how to make sure outsourced Data Management is executed in a successful way, with…