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Track 3: Data and Data Standards

DIA 2017: Driving Insights to Action

This track focuses on validation methods and tools, development of standards, and quality assurance for data collected throughout the drug development lifecycle. Emerging topics such as real-world data collection methods from wearables and other mobile apps, and effective use of clinical registries will be also be covered.

Sessions in Data and Data Standards

Sunday, June 14 | Short Courses

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Monday, June 15

Tuesday, June 16

Wednesday, June 17

On Demand

Who is This Track is Designed For?

Professionals involved in: Informatics (bio and medical), data standards and quality control (regulatory standards implementation), data quality, clinical data management, clinical trial design, clinical operations, eClinical (electronic health records), submissions and global submissions, health economics outcomes research, biostatistics, medical writing, real world evidence, epidemiology, post-market studies, regulatory affairs and operations, and statistics.

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