Conclusion Outlook Introduction In materials science, the understanding of new materials is becoming increasingly complex. Without suitable data managing concepts, it will no longer be possible to handle the constantly growing amounts of data generated from simulations and experiments. The Karlsruhe Data Infrastructure for Materials Science (Kadi4Mat)[1] therefore presents a research data infrastructure that aims to resolve these challenges while taking the FAIR data principles[2]into account. Its functionalities can be summarised as a repository and an electronic lab notebook. Kadi4Mat Functionalities Kadi4Mat presents an ecosystem that encompasses different modules –Repository,Electronic Lab Notebook,Workflows,Ontologies, Machine Learning– which in sum create a FAIR research data infrastructure. Through its REST-API Kadi4Mat further offers defined interfaces for connecting it to other systems, allowing for the simple extension of the available functionalities. lars.griem@kit.edu www.iam.kit.edu/cms References [1] Brandt, Nico et al. Data Science Journal, vol. 20, 2021, p. 8. [2] Griem, L, et al. Data Science Journal, vol. 21, 2022, p. 16. [3] Sangya Pundir / CC BY-SA 4.0 KIT – The Research University in the Helmholtz Association Automated Documentation of Research Processes Using RDM L. Griem 1, R. Thelen2, M. Selzer 1 1Institute of Nanotechnology (INT-MSS), Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany 2Institute of Microstructure Technology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany Ecosystem Micro gear Job ticket Green job ticket Batch number: 04552 602 Editor: see above Page: 1 of 2 IFA-Number: 11-935F-01F Provided parts, masks etc.: Manufacturing item: Object number: 05841 See FS02 Micro gear for demonstration Customer: Mustermann lfd.- Production process Speciﬁcations Amount Finished No. Production & test steps (e.g. AA, PA, Text etc.) in out Name, Date 1. Create job ticket and folder AA605.xx --- --- (MF-FVB) 2. Obtain job ticket and all provided parts AA605.xx (GL-FAF) 3. Take substrates of type SP403009.xx for the batch numbers: 1.) Batch No.:__________________ 2.) Batch No.:__________________ 3.) Batch No.:__________________ 4.) Batch No.:__________________ from the clean room storage and mark the wafer box. AA619.xx 4 4. Vapour deposition of metallic layers. AA653.xx Cr-Thickness: 5nm Au-Thickness: 15nm Current Documentation Implementation Automated Documentation The FAIR management of research data is undoubtedly an important step in accelerating scientiﬁc work. However, a signiﬁcant part of knowledge often lies not in the research data itself, but in the processes that led to its creation. Therefore, the research data infrastructure Kadi4Mat [1] provides, in addition to a data repository, a workﬂow editor [2] for process documentation and automisation. In combination, these modules allow the automated and FAIR documentation of scientiﬁc processes and the data generated within them. The implementation of such an automated documentation is illustrated through the example of the experimental production of microstructural components at the Institute of Microstructure Technology of the KIT. Introduction Conclusion Integrating the job ticket documentation into the research data infrastructure Kadi4Mat offers many beneﬁts. The job tickets can be quickly searched for speciﬁc parameters, equipment or processing facilitating the development of new production processes. Additionally, the user is interactively guided through the manufacturing process in the workﬂows. This not only ensures quality assurance but also helps new unexperienced employees to produce components eﬃciently. Main Takeaway The Kadi4Mat ecosystem offers the possibility to store and structure data and automise their documentation.This makes FAIR data handling effortless in everday research. KadiWeb Structured data management and exc