Data-driven engineering design research: Opportunities using open data

Pedro Parraguez Ruiz, Anja Maier

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

Engineering Design research relies on quantitative and qualitative data to describe design-related phenomena and prescribe improvements for design practice. Given data availability, privacy requirements and other constraints, most empirical data used in Engineering Design research can be
described as “closed”. Keeping such data closed is in many cases necessary and justifiable. However, this closedness also hinders replicability, and thus, may limit our possibilities to test the validity and reliability of research results in the field. This paper discusses implications and applications of using the already available and continuously growing body of open data sources to create opportunities for research in Engineering Design. Insights are illustrated by an examination of two examples: a study of open source software repositories and an analysis of open business registries in the cleantech industry. We conclude with a discussion about the limitations, challenges and risks of using open data in Engineering Design research and practice.
Original languageEnglish
Title of host publication Proceedings of the 21st International Conference on Engineering Design (ICED17), Vol. 7: Design Theory and Research Methodology
PublisherDesign Society
Publication date2017
Pages41-51
Publication statusPublished - 2017
EventICED17: 21st International Conference on Engineering Design - Vancouver, Canada
Duration: 21 Aug 201725 Aug 2017
http://iced17.org/

Conference

ConferenceICED17: 21st International Conference on Engineering Design
CountryCanada
CityVancouver
Period21/08/201725/08/2017
Internet address

Keywords

  • Information management
  • Reserch methodologies and methods
  • Open source design
  • Data-driven design
  • Open data

Cite this

Parraguez Ruiz, P., & Maier, A. (2017). Data-driven engineering design research: Opportunities using open data. In Proceedings of the 21st International Conference on Engineering Design (ICED17), Vol. 7: Design Theory and Research Methodology (pp. 41-51). Design Society.