The Open, Closed, And Exploding World Of Research Data

Data is growing exponentially and the impact on all areas of academic, scientific, and medical research is critical. Research data challenges can arise from various aspects, including data privacy, quality, security, accessibility, integration, sample size, ethical considerations, resource constraints, and data analysis and interpretation. Adhering to FAIR and CARE principles and updated federal mandates add new layers of complexity. Addressing these challenges requires thoughtful planning, attention to standards, and expertise in research methods and data management to ensure robust and reliable research findings.

This webinar explores the intersection of open data and closed data and discusses the benefits and challenges of open science, ethical and legal considerations related to sharing sensitive research data like PHI, key principles and best practices, and the implications for the future of scientific and life sciences research. As life science research organizations move away from multiple technology vendors that supply a myriad of infrastructures requiring costly integrations that do not deliver interoperability how can we enhance data quality, increase efficiency, and drive innovation in clinical trials?