About
This practical course introduces the essential principles of research and laboratory data management throughout the entire data lifecycle. Participants will learn how to organize, store, manage, share, and protect experimental data while maintaining accuracy, traceability, and accessibility. The course covers key topics including data organization, file and folder structures, metadata, raw data management, version control, data traceability, access control, backup and archiving, as well as the fundamentals of LIMS and SDMS. Practical examples demonstrate how laboratories can move beyond fragmented files, spreadsheets, and disconnected systems toward structured and connected data management. Designed for researchers, laboratory professionals, R&D teams, and research organizations, this course provides practical methods for building reliable data management practices that improve collaboration, research reproducibility, operational efficiency, and long-term data usability.
You can also join this program via the mobile app. Go to the app