Progressive digitization throughout the entire product data life
cycle requires a more sensitive handling and understanding of
data within engineering processes. Regarding engineering
research data, the aim is to implement the FAIR data principles
(Findable, Accessible, Interoperable, Reusable) to guarantee the
post-usability of research data. To ensure the quality of data
throughout the entire research process a methodical approach
had been developed. Based on the quality categories Intrinsic,
Representative, Contextual and Available, the related quality
dimensions are considered differentiated along the research data
life cycle and presented in a concept. As a use case, this concept
is carried out on a tensile test with documentation of results in a
research data management system.
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