The SIGDIUS seminar takes place on the first Wednesday of each month from 2:00 to 4:00 pm.
At our university, there is an increasing number of working groups that want to use a laboratory information management system / electronic laboratory notebook (LIMS/ELN) for their experimental work or a documentation system that complies with the FAIR Data Principles for simulation work. Such systems serve to integrate data and, in particular, facilitate the connection of experimentally acquired data to the modeling environment used in each case.
The development of research data management (RDM) methods, standards, and tools is currently very dynamic, and scientific fields are fragmented in terms of processes and standards. This fragmentation is expressed in particular in a number of about 300 existing LIMS/ELN products, which on the one hand offer very specific solutions for individual application areas, and on the other hand try to serve a broad spectrum of users. Under these conditions, it is difficult to select the appropriate RDM strategy in each case.
The Special Interest Group Data Infrastructure provides a forum for interested working groups that want to establish or further develop an RDM infrastructure at the working group or institute level. To this end, we invite internal and external experts to a monthly SIGDIUS seminar for lecture and discussion, but primarily to give SIGDIUS members the opportunity to share their experiences with concrete RDM infrastructures.
Interested in the topic of RDM? Click here for more information: RDM in SimTech
Summer Term 2024
Date | Topic | Lecturer |
17 July | How to be FAIR – Results from the EOSC Future project on FAIR assessment of computational models in biology | Dagmar Waltemath (Greifswald) |
RDM-workflows for construction engineering and architecture | Roger Winkler (Darmstadt) | |
FAIR-FLEXI - a trustworthy CFD code for simulation and training | Daniel Appel (Universität Stuttgart, IAG) | |
8 May | (Bio)Schemas and SchemaOrg for Rich Metadata Integration (not only) in the Life-Sciences | Steffen Neumann (Leibniz Institute of Plant Biochemistry) |
In catalytic sciences, post-experimentation data processing predominantly leans on spreadsheet-based applications for the structuring, analyzing, and visualization of experimental data. | Max Häußler (University of Stuttgart) |
Jürgen Pleiss
Prof. Dr.Technical Biochemistry