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Track 3: Data and Data Standards

DIA 2017: Driving Insights to Action

Data science is multidimensional area that includes two major dimensions: Curation and Analysis. This track focuses on the curation dimension, which includes the structure, organization, validation, storage, extraction, and delivery of diverse types of patient data to facilitate review, analysis, and reporting in regulatory submissions. Specifically, the track will have the following as focal points:

  • Structured and unstructured data sources
  • Data Quality
  • Data Standards
  • Real World Data / Evidence
  • Mobile / wearable technologies
  • Informatic solutions and machine learning
  • Endpoints: evolving data requirements to support new endpoints 

Sessions in Data and Data Standards

Monday, June 21-Friday, June 25 | Short Courses

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Monday, June 28

Tuesday, June 29

Wednesday, June 30

Thursday, July 1

Who is This Track is Designed For?

DIA recommends this track and associated sessions to professionals involved in: informatics (bio and medical), data standards and quality control (and regulatory standards implementation specialists), 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 roles, epidemiology, post-market studies, regulatory affairs and operations, and statistics.

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