Submissions for Scientists and Machine Manufacturers from the MSE Community

You can select one of the following topics for your presentation or poster: 

Digital Transformation in Everyday MSE Lab Life:

• Data Collection and Transfer.
• Metadata Management.
• Electronic Lab Notebook – Use and Experiences.

Research Data from MSE Experiments:

• Planning, Analysis, Preservation, Sharing, Reuse of Experimental Data and used Tools – Developments and Experiences.
• Data Quality and Standardization (e.g. via Ontologies).
• Documentation, Structuring and Standardization of Experimental Data.

Research Data from MSE Simulations:

• Planning, Run, Analysis, Preservation, Sharing, Reuse of Simulation Data and used Tools – Developments and Experiences.
• Data Quality and Standardization (e.g. via Ontologies).
• Documentation, Structuring and Standardization of Simulation Data.

Workflows for FAIR MSE Data:

• Combining Multiple Tools/Solutions into larger Research Data Workflows.
• Combining Research Data from MSE Experiments and Simulations.
• Making Research Data Interoperable across Research Groups.
• Lessons learned from Multi-Group and Multi-Institutional Projects.

AI and Machine Learning for MSE Data:

• AI Tools supporting Daily MSE Research Data Work.
• Big Data Management.
• Large Language Modelling.

Submit and manage your contribution

Please select a topic and the type of contribution you would like to submit (lecture, or poster). Enter the title, a short description, and author details.

You can edit your submission at any time until the final deadline. After submission, you will also be able to upload supporting documents, such as your poster or a PDF version of your abstract.

The conference will be held as a hybrid event, both on-site in Siegburg (Germany) and online. We strongly recommend attending the Forum in person to engage in discussions with the consortium and the community. For better event planning, please indicate in your submission whether you intend to travel to Siegburg for the MSE Research Data Forum or participate virtually.

Download Abstract Template

All documents and presentations must be prepared in English. Please submit a one-page abstract that includes one figure, following the provided template. The abstract can also be uploaded after your contribution has been confirmed.