Managing FAIR Tribological Data Using Kadi4Mat

Nico Brandt, Nikolay T. Garabedian, Ephraim Schoof, Paul J. Schreiber, Philipp Zschumme, Christian Greiner and Michael Selzer
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Nico Brandt: Institute for Applied Materials (IAM-CMS), Karlsruhe Institute of Technology (KIT), Straße am Forum 7, 76131 Karlsruhe, Germany
Nikolay T. Garabedian: Institute for Applied Materials (IAM-CMS), Karlsruhe Institute of Technology (KIT), Straße am Forum 7, 76131 Karlsruhe, Germany
Ephraim Schoof: Helmholtz Institute Ulm for Electrochemical Energy Storage (HIU), Helmholtzstraße 11, 89081 Ulm, Germany
Paul J. Schreiber: Institute for Applied Materials (IAM-CMS), Karlsruhe Institute of Technology (KIT), Straße am Forum 7, 76131 Karlsruhe, Germany
Philipp Zschumme: Institute for Applied Materials (IAM-CMS), Karlsruhe Institute of Technology (KIT), Straße am Forum 7, 76131 Karlsruhe, Germany
Christian Greiner: Institute for Applied Materials (IAM-CMS), Karlsruhe Institute of Technology (KIT), Straße am Forum 7, 76131 Karlsruhe, Germany
Michael Selzer: Institute for Applied Materials (IAM-CMS), Karlsruhe Institute of Technology (KIT), Straße am Forum 7, 76131 Karlsruhe, Germany

Data, 2022, vol. 7, issue 2, 1-16

Abstract: The ever-increasing amount of data generated from experiments and simulations in engineering sciences is relying more and more on data science applications to generate new knowledge. Comprehensive metadata descriptions and a suitable research data infrastructure are essential prerequisites for these tasks. Experimental tribology, in particular, presents some unique challenges in this regard due to the interdisciplinary nature of the field and the lack of existing standards. In this work, we demonstrate the versatility of the open source research data infrastructure Kadi4Mat by managing and producing FAIR tribological data. As a showcase example, a tribological experiment is conducted by an experimental group with a focus on comprehensiveness. The result is a FAIR data package containing all produced data as well as machine- and user-readable metadata. The close collaboration between tribologists and software developers shows a practical bottom-up approach and how such infrastructures are an essential part of our FAIR digital future.

Keywords: research data management; FAIR data; digitisation; open source; materials science; tribology (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2022
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