Challenges for capturing data within data-driven design processes

Christopher Langner, Yevgeni Paliyenko, Benedikt Müller, Daniel Roth,Matthias R. Guertler,Matthias Kreimeyer

Proceedings of the Design Society(2024)

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Abstract
AbstractCyber-Physical-Systems provide extensive data gathering opportunities along the lifecycle, enabling data-driven design to improve the design process. However, its implementation faces challenges, particularly in the initial data capturing stage. To identify those, a comprehensive approach combining a systematic literature review and an industry survey was applied. Four groups of interrelated challenges were identified as most relevant to practitioners: data selection, data availability in systems, knowledge about data science processes and tools, and guiding users in targeted data capturing.
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