Kadi4Mat Software Ecosystem

Link to the service

https://gitlab.com/iam-cms

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Detailed description of the service 

The ecosystem around Kadi4Mat, the generic and open source virtual research environment, is a comprehensive set of tools and libraries designed for managing, sharing, and integrating engineering data. It is centered around research data management, ensuring that data is standardized, well-structured, and easily accessible. The ecosystem facilitates the implementation of the FAIR (Findable, Accessible, Interoperable, Reusable) principles, making it a valuable tool for fostering collaboration and innovation in the engineering community. It enables interdisciplinary collaboration by providing functionality for data sharing and integrating smoothly with established workflows for simulations and experiments. It is suitable for researchers, data scientists, and industry professionals engaged in data-driven research as well as open data initiatives.

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Terms of use & restrictions

All of the software is available open source under the Apache License 2.0

Contact 

Nico Brandt, nico.brandt@kit.edu

References

publications that reference (or report on using) the service

Kadi4Mat: A Research Data Infrastructure for Materials Science (2021)
http://doi.org/10.5334/dsj-2021-008

Managing FAIR Tribological Data Using Kadi4Mat (2022)
https://doi.org/10.3390/data7020015

Generating FAIR research data in experimental tribology (2022)
https://doi.org/10.1038/s41597-022-01429-9

Structured Data Storage for Data-Driven Process Optimisation in Bioprinting (2022)
https://doi.org/10.3390/app12157728

KadiStudio: FAIR Modelling of Scientific Research Processes (2022)
http://doi.org/10.5334/dsj-2022-016

KadiStudio use-case workflow: Automation of data-processing for in situ micropillar compression tests (2023)
https://doi.org/10.5334/dsj-2023-021

Strukturiertes Management von Forschungsdaten in den Ingenieurwissenschaften (2024)
https://doi.org/10.5445/IR/1000168522

#WhyNFDI

 

Miscellaneous

A website with a collection of all relevant information and links can be found at https://kadi.iam.kit.edu

Tags

NFDI4ING services may be relevant to different users according to varying requirements. To support filtering or sorting, we added a tag system outlining which archetype, phase of the data lifecycle, or degree of maturity a service corresponds to. By clicking on one of the tags below, you can get an overview of all services aligned with each tag.

This service has the following tags:

The tags correspond to:
The Archetypes: Services relevant to Alex – Bespoke Experiments, Betty – Research Software Engineering, Caden – Provenance Tracking, Doris – High Performance Computing, Ellen – Complex Systems, Fiona – Data Re-Use and Enrichment

The data lifecycle: Services related to Informing & Planning, Organising & Processing, Describing & Documenting, Storing & Computing,
Finding & Re-Using, Learning & Teaching

The maturity of the service: Services sorted according to their maturity and status of their integration into the larger NFDI service landscape. For this we use the Integration Readiness Level (IRL), ranging from IRL0 (no specifications, strictly internal use) up to IRL4 (fully integrated in the German research data landscape and the EOSC). Click here for a diagram outlining all Integration Readiness Levels.