Kadi4Mat, or Kadi for short, is a generic and open source virtual research environment.

Originally developed in the context of materials science, Kadi4Mat can be used for the management of any type of research data within different research disciplines and use cases. Its goal is to combine the ability to manage and exchange data, the repository component, with the possibility to analyse, visualise and transform said data, the electronic lab notebook (ELN) component. The focus on the repository component is on warm data, i.e. unpublished data that is yet to be analysed further, while in the ELN component it is on the automated and documented execution of heterogeneous workflows via an application programming interface (API). In this way, a customizable framework is created that facilitates good research data management (RDM) practices and collaboration between researchers.

The Kadi4Mat ecosystem

Kadi4Mat is part of an ecosystem of tools that enhances and facilitates use of its functionalities in different ways:

• KadiAPY: Use Kadi4Mat's HTTP API more easily with the KadiAPY library. It offers high-level interaction with the API in Python as well as a Command Line Interface. The library supports both Linux and Windows.
• KadiAI: Integrate and implement your Artificial Intelligence (AI) and Machine Learning (ML) algorithms with KadiAI. Leverage interactive dashboards to design, train, and tune data-driven models or enhance your custom AI scripts with next-level research data management.
• KadiStudio: Design and execute your scientific workflows with KadiStudio, a flexible workflow editor. Use a wide range of existing or customised tools to create reproducible research.
• KadiFS: Access and edit your data directly with the filesystem integration KadiFS based on FUSE. Connect your computers and devices to directly interface with the Kadi4Mat ecosystem.

More information about Kadi4Mat and its ecosystem can also be found on its website.