Data Science Data Management Expert Group (DMEG)
What is a DMEG?
A Data Management Expert Group (DMEG) is a specialised forum established by the Association for Clinical Data Management (ACDM) to bring together professionals with deep expertise in specific areas of clinical data management. These groups aim to foster collaboration, share best practices, and drive forward the industry’s standards and innovations. Each DMEG focuses on a unique aspect of data management, supporting the ACDM community by providing insights, organising events, and producing thought leadership content.
Data Science DMEG
The Data Science DMEG is dedicated to exploring the rapidly evolving field of data science within clinical research. This group focuses on how advanced data analytics, machine learning, and artificial intelligence can be applied to clinical trials, enhancing data quality, optimising trial efficiency, and generating deeper insights. By leveraging the collective knowledge of its members, the Data Science DMEG seeks to identify best practices, share case studies, and offer guidance on implementing data science strategies in clinical research. The group also aims to bridge the gap between traditional data management approaches and the innovative use of data science tools, ensuring that the clinical research community can harness the full potential of emerging technologies. Through webinars, white papers, and collaborative discussions, the Data Science DMEG drives the conversation on how data science can transform the clinical data management landscape.
Data Science Expert Group outputs
The implementation of the evolving Clinical Data Science role, a cross collaborative initiative
Date: January 30, 2024
Data Science DMEG Chair
Tanya du Plessis (Chair)
Chief Data Strategist and Solutions officer | Bioforum