文章基本信息

标题：Managing FAIR Tribological Data Using Kadi4Mat
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作者：Nico Brandt ; Nikolay T. Garabedian ; Ephraim Schoof 等
期刊名称：Data
印刷版ISSN：2306-5729
出版年度：2022
卷号：7
期号：2
页码：1-16
DOI：10.3390/data7020015
语种：English
出版社：MDPI Publishing
摘要：The ever-increasing amount of data generated from experiments and simulations in engi- neering 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 pre- requisites 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 thiswork, we demonstrate the versatility of the open source research data infrastructure Kadi4Mat bymanaging 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.
关键词：research data management;FAIR data;digitisation;open source;materials science;tribology