Automated Data Management solution using FAIR metrics

The integration of FAIR data principles—Findability, Accessibility, Interoperability, and Reusability—is crucial for modernizing cell-based screening data management. These principles are foundational for the digitalization of scientific research, addressing key challenges such as parameter variability, the need for sophisticated data processing, and stringent analysis requirements.
Digital transformation through robust data management systems, including Electronic Lab Notebooks (ELNs), has been widely adopted by organizations of all sizes, to enhance data transparency and reliability. However, these may not fully meet the comprehensive needs of cell screening data management.
CDD Vault fills this gap with a solution rooted in FAIR principles, systematically managing both unstructured and structured data. It offers integrated features for registration, assay management, inventory, visualization, and secure collaboration across projects, ensuring data compliance and utilization for future research.
In my talk, I will explore how adherence to FAIR principles and digitalization via CDD Vault can enhance data management and automation. I'll discuss the entire data lifecycle from database registration to complete data management systems, including activity & registration, ELN, assay annotation, sample management, and advanced visualization. I will highlight how CDD Vault customizes protocols and automates data capture, adapting to assay variability and ensuring accuracy, thus setting a standard for best practices in the digital age.