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[Kadi4Mat](https://kadi.iam-cms.kit.edu) is **Karlsruhe Data Infrastructure for Materials Science**, an open source software for managing research data. It is being developed as part of several research projects at **Institute for Applied Materials (IAM)** and **Institute of Nano Technology (INT)** of the **Karlsruhe Institute of Technology (KIT)**.
The web based application combine the possibility of structured storage of research data and corresponding metadata and data exchange, the <em>repository</em>, with the possibility to analyze, visualize and transform said data, the <em>electronic lab notebook (ELN)</em>. The ELN component is focused on the automated and documented execution of heterogeneous workflows, while the repository component focuses on unpublished data that is yet to be analysed further. The ELN can be described as **ELN 2.0**, which offers automation by providing API. This improved automation provides a more direct way to capture data provenance of the resources in Kadi4Mat. In this way, a virtual research environment is created which facilitates collaboration between researchers.
The software was developed to support a close cooperation between experimenters, theorists and simulators especially in materials science but it has been kept as generic as possible. It also offers facility to directly publish data on external systems like **Zenodo**. Research data management with Kadi4Mat increases cooperation between researchers, taking into account the **FAIR data philosophy**.
**KadiWeb** is a general accessible web-based version of Kadi4Mat which offers a corresponding web interface, thus even an inexperienced user can utilise all functions of Kadi4Mat. The most important type of resource that can be created in Kadi4Mat are the so-called ***records***, which can link data with descriptive metadata (includes both basic metadata and domain-specific metadata).
**KadiStudio** is a desktop-based software version that allows to design and execute ***Workflows*** which can also be used offline, by running as an ordinary application on a local workstation. Different steps of a workflow can be defined using a graphical node editor to create reporducible workflows.
**KadiAI**, is to integrate and implement Artificial Intelligence (AI) and Machine Learning (ML) algorithms into Kadi4Mat using common interfaces and workflows. Leverage interactive dashboards to design, train, and tune data-driven models or enhance custom AI scripts with next-level research data management. ***CIDS (Computational Intelligence and Data Science)*** framework implements a wide range of AI models for statistical, active and deep learning. Through ***KadiAI***, ***CIDS*** integrates seamlessly with the Kadi4Mat platform.