Kadi4Mat as a Service

Link to the service

https://kadi4mat.iam.kit.edu

https://demo-kadi4mat.iam.kit.edu

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Detailed description of the service 

Kadi4Mat is a generic and open source virtual research environment, which can be hosted as a web-based service. The instances hosted at KIT can be leveraged to enhance (meta)data management and integration in the engineering community working in academia, research institutions, or industry. The core capabilities include data management, which organizes and standardizes research data for easier search, retrieval, and sharing. By adhering to FAIR (Findable, Accessible, Interoperable, Reusable) data principles, Kadi4Mat ensures that research data is accessible and reusable, promoting collaboration and innovation across disciplines such as chemistry, physics, and engineering. Additionally, the platform integrates with other services and interfaces like Zenodo (publication), S3 (storage), OpenID Connect (authentication) and computational tools for further data analysis in the research process. Kadi4Mat also supports open data initiatives by enabling institutions to publish and share research data for the broader scientific community. Its primary users are those focused on data-driven research and collaborative research projects.

Kadi4Mat’s strengths lie in its compliance with FAIR principles, cross-disciplinary collaboration support, and integration with computational tools, which make it a powerful resource for accelerating research. Its framework ensures consistent and clear data representation by employing domain specific ontologies and improving the ability to compare data across projects. However, the service can potentially present a steep learning curve, particularly for users unfamiliar with research data management. Additionally, its utility depends on active community involvement, as more data contributions enhance the platform’s overall effectiveness.

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Terms of use & restrictions

Currently to be determined for general use of the KIT+ instance. The Demo instance is free to use, but automatically reset once a month.

Contact 

Michael Selzer, michael.selzer@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.