In an evolving data management landscape where responsibilities, data, and tools are getting more complex by the second, how will data science accelerate your path to database lock? What do you leverage to do your job today, and what skills do you need to master as we step towards the future? This webinar will share perspectives from data managers taking on increasing Data Science responsibilities for clinical data.

Data managers share that rapid access to incoming data that is loaded to a common location and mapped in real time to support data review and data science accelerates detection and resolution of both data issues and potential clinical execution and training issues at the trial sites. Awaiting SDTM mapping and delaying data cleaning until SDTM data is mapped runs up against database lock timelines, does not drive sponsor oversight, and can result in repeating trial conduct issues that can impair clinical trial impact. Data managers need to look for timelines that deliver data for review within days of site and lab submission and that maximize the value of the data for both data cleaning and data science activities.

Validation of trial data must also be timely, in parallel with the accelerated data cleaning activities. Examples of validation aids generated dynamically during data collection developed in partnership with data managers will be provided. These validation aids drive operational visibility into the frequency and severity of data issues and areas of concern in ongoing trial conduct. The validation aids can also drill down into the details of the incoming data to reveal any signals or patterns in conduct that may present opportunities for site retraining, study amendment or other refinements in study conduct that can increase the value of the trial for clinical strategy.

This course is appropriate to Intermediate CCDM.

Please note this is a sponsored industry webinar, and therefore content will be commercially oriented. During the registration process, you will be asked to indicate whether you agree that your fist name, last name, email address and company details provided in the registration form can be shared with the webinar sponsor, Revvity Signals Software, Inc.

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