CC43 Community Meeting 2025 (online)¶
RDM in the day-to-day business of engineers and scientists
Everything at a Glance¶
- When?
16 January 2025 09:00–13:45
- Where?
Register online at https://fz-juelich-de.zoom.us/meeting/register/wZcZYcZFR-aDEZDm_pDcTw
- For whom?
Everyone interested in RDM within and beyond NFDI4Ing, especially engineers and scientists from the fields of material science and technology.
- What?
Topics and use cases regarding how RDM can help you in your daily routine, e.g. by electronic lab notebooks and automation.
- Costs
Registration and participation in the conference are free of charge
Community Meeting Aims¶
The aim of the community meeting is to advance and unify research data management and to foster exchange between the NFDI4Ing and its community. We will present and discuss solutions from “Caden”, which is part of the NFDI4Ing consortium. In this context, we are very happy in Caden to gather feedback from the audience! Beyond that, we welcome groups from outside NFDI4Ing who want to share their RDM endeavours in their respective institutes with us, so that we can learn from things that went well – or maybe also not so well. Everyone is invited to participate, not only on the 16 January: Hopefully, we can stay in contact with some of you even after that!
CC43: What is this Community Cluster?¶
Community Cluster 43 (CC43) is the community for material science (experimental & simulation) within the National Research Data Infrastructure for Engineering (NFDI4Ing). It aims to promote the good practice of research data management (RDM) in these fields and to connect researchers and practitioners in the community. CC43 organises regular community meetings, workshops, and other events to provide opportunities for networking, exchange of ideas, and learning about new RDM tools and technologies.
Who is Caden?¶
“Hello, I’m Caden. I’m an engineer whose research deals with complex sequences of processing and analysing steps, applied to samples and/or data sets. My professional background is mostly informed by materials science, building materials science, materials technology, process engineering, and technical chemistry.
For me, the output of one processing step is the input of a subsequent one. The processed objects can be physical samples (specimens) or data samples. For instance, I synthesise an alloy sample, temper, and etch it. After that, I analyse the sample in various measurement setups, creating data sets. The resulting graph of activities and data comprises my workflow.”
My name is not Caden. May I still participate?¶
Yes, of course! Whether researchers, teachers or industry representatives – all those interested in (research) data management are welcome. Through presentations of research results, informative workshops and tutorials, as well as case studies, we would like to discuss how data management can be implemented in scientific theory and practice.
Agenda¶
- 08:45–09:00
Arrival and virtual Check-In
- 09:00–09:05
Introductory words
- 09:05–09:50
Keynote – Abril Guzman: Achieving semantic interoperability in materials science data and simulation workflows
Materials science involves complex workflows and high-dimensional data, but the lack of structured metadata limits data accessibility, interoperability, and reuse. In the field of atomistic simulations, we address these challenges developing the Computational Materials Sample Ontology and the tool atomRDF to create application-level knowledge graphs. This approach promotes data reuse, linked open data, and AI-ready knowledge graphs, accelerating materials discovery and fostering digitalization in the field.
- 09:55–10:40
Torsten Bronger: The perfect electronic lab notebook – better strict or tolerant?
Which electronic lab notebook (ELN) fits my needs? And how do you deal with a collaboration with collegues that use a different ELN? Torsten Bronger from NFDI4Ing’s Caden gives answers.
- 10:45–11:30
Manideep Jayavarapu, Hafiz Noman: Enhancing Interoperability between Electronic Lab Notebooks (ELNs) using Export and Import Features in Kadi4Mat.
Kadi4Mat supports interoperability through standardized formats like RO-Crate, SHACL metadata profiles, and RDF export. RO-Crate encapsulates research data and metadata in a structured, FAIR-compliant format to enhance discoverability and reproducibility. SHACL metadata profiles define and validate metadata structures, ensuring consistency and compliance with standards. RDF export enables data representation in a semantic, machine-readable format, facilitating seamless integration with external systems.
- 12:30–13:00
Dr. Ronald Jäpel: CADET-RDM – RDM tool for Digital Twin applications
CADET-RDM helps with tracking and version control of input data, code and software versions, and of output data. It can be used in conjunction with own Python scripts as well as Jupyter Lab.
- 13:00–13:30
Burak Polat: Design and Development of an RDM System for Joining SOC Stack Design & Assembly Data with Stack Testing
This project focuses on designing and developing a RDM system that integrates solid oxide cell stack design, assembly data, and testing results into an electronic lab notebook (ELN, “SampleDB”). It includes the creation of a Python-based automated metadata extraction tool for processing raw measurement data and the establishment of data sharing between two institutes.
- 13:30–13:45
Wrap-Up
