Lecture
Implementing research data management using OpenBIS at institute scale
- at -
- ICM Saal 3
- Type: Lecture
Lecture description
L. Knipper, Dortmund/DE, Prof. Dr. R. Heyer, Dortmund/DE
Modern research environments generate increasingly large and complex datasets that require structured, reproducible, and FAIR compliant management. Institutes face the challenge of supporting diverse research groups with heterogeneous workflows while
ensuring consistent documentation, long-term preservation, and interoperability of research data. Electronic Lab Notebooks (ELNs) and Laboratory Information Management Systems (LIMS) provide essential functionality for addressing these challenges; however, scaling such systems to an entire institution requires careful design of metadata models, workflow integration, and user support.
This talk describes our experience implementing a centrally managed, institute-wide research data management infrastructure using the open-source platform openBIS. We focus on the journey from a pilot project to our institute-wide rollout strategy, covering system setup, metadata model configuration, workflow integration, and user onboarding. To meet the specific needs of our institute, we customized openBIS through the development of tailored extensions and plugins. Furthermore, we designed a dedicated web application to provide researchers a custom user manual to simplify adoption of the system.
By sharing this experience, we highlight the challenges, solutions, and lessons learned when scaling an open-source RDM infrastructure to support diverse workflows across an entire research institute.
Modern research environments generate increasingly large and complex datasets that require structured, reproducible, and FAIR compliant management. Institutes face the challenge of supporting diverse research groups with heterogeneous workflows while
ensuring consistent documentation, long-term preservation, and interoperability of research data. Electronic Lab Notebooks (ELNs) and Laboratory Information Management Systems (LIMS) provide essential functionality for addressing these challenges; however, scaling such systems to an entire institution requires careful design of metadata models, workflow integration, and user support.
This talk describes our experience implementing a centrally managed, institute-wide research data management infrastructure using the open-source platform openBIS. We focus on the journey from a pilot project to our institute-wide rollout strategy, covering system setup, metadata model configuration, workflow integration, and user onboarding. To meet the specific needs of our institute, we customized openBIS through the development of tailored extensions and plugins. Furthermore, we designed a dedicated web application to provide researchers a custom user manual to simplify adoption of the system.
By sharing this experience, we highlight the challenges, solutions, and lessons learned when scaling an open-source RDM infrastructure to support diverse workflows across an entire research institute.
