Description
Effective research data management (RDM) is crucial for ensuring data integrity, reproducibility, and compliance with institutional policies. OpenBIS, an open-source RDM platform, offers comprehensive solutions for electronic lab notebooks, inventory management, and sample tracking. However, its high flexibility necessitates tailored configurations and user training.
We conducted a pilot project at a proteomics laboratory in collaboration with the University of Magdeburg to evaluate OpenBIS for metaproteomics research. This project focuses on assessing OpenBIS’s data structure, automation capabilities, and suitability for streamlining workflows. Additionally, we are developing training materials to support user onboarding and facilitate adoption at ISAS. A key objective is to enhance researcher engagement by integrating automation and enabling cross-data studies for scalable and efficient data management.
Insights from this pilot will guide best practices for broader implementation at ISAS, ensuring standardized data management, improved collaboration, and compliance with research policies. By involving multiple research groups, we aim to foster interdisciplinary cooperation and uphold high-quality RDM standards.
