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Session 7 Track 3: Collecting Useful, High Quality Data From Digital Sensor Technologies
Session Chair(s)
Jennifer Goldsack, MA, MBA, MS
Chief Executive Officer
Digital Medicine Society (DiMe), United States
High-quality data support useful endpoints and their interpretations. For data to have integrity, the data cannot be modified or corrupted in an undetectable and/or unauthorized way during the generation and flow of the data. This session will explore how to collect, transfer, and store high quality digital data generated by connected sensor technologies. The Endpoint Strategy for optimizing these processes will be explained and demonstrated.
Learning Objective : - Define the characteristics of high-quality data with integrity collected from connected sensor technologies
- Describe strategies for ensuring that data captured by connected sensor technologies is high-quality and useful
- Determine who is responsible for protecting the integrity of data generated by connected sensor technologies at each step of its lifecycle and describe the role of audit trails in ensuring the integrity of digital data
Speaker(s)
Applying an Endpoint Strategy to Guide Data Collection
Barry Peterson, PhD
Independent Consultant, United States
Wearable Devices
Ensuring Data Integrity by Design
Jonathan Solomon Helfgott, MS
Johns Hopkins University, United States
Senior Lecturer, Faculty, & Program Coordinator,
Data Quality: A RWE Perspective
Luca Foschini, PhD
Evidation Health, United States
Co-founder and Chief Data Scientist