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IDEA challenge 2022 dataset: Prototypes from a design Hackathon.
Daniel Nygård Ege1, Mark Goudswaard2, James Gopsill2
1Norwegian University of Science and Technology, Richard Birkelandsvei 2B, 7034 Trondheim, Norway.
Data in Brief
|April 9, 2024
Summary
The IDEA Challenge 2022 dataset offers insights into prototyping practices with 240 entries. This data aids in developing strategies and future research hypotheses for design and engineering professionals.
Area of Science:
- Design Research
- Engineering Education
- Prototyping Methodologies
Background:
- Prototyping is crucial in design and engineering.
- Understanding prototyping practices is essential for innovation.
- Existing datasets can enhance research on design processes.
Purpose of the Study:
- To introduce and describe the IDEA Challenge 2022 prototyping dataset.
- To highlight the dataset's value for research on prototyping strategies.
- To provide a foundation for future studies in design and engineering.
Main Methods:
- Data collected via the Pro2booth online platform.
- Dataset includes 240 prototype entries and 1049 connections.
- Information captured on creators, purpose, timing, and methods.
Main Results:
- The dataset provides comprehensive insights into prototyping practices.
- It details the development process of prototypes and participating teams.
- Offers practical knowledge for strategy development and hypothesis generation.
Conclusions:
- The dataset is a valuable resource for design researchers, students, and professionals.
- It enables comparative analyses, hypothesis verification, and trend exploration.
- Potential to inform meta-analyses for a comprehensive understanding of prototyping.
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