Developing a Data Classification Framework

Abstract

In the first stage of the research project, we reviewed the extant literature on the subject of prototypes in design research, with the aim of developing a data classification framework. The literature review allowed us to investigate both the traditional and the emerging roles that prototypes play in various fields of design research. Data relevant to the study were extracted and interpreted following a top-down approach, based on narrative and critical reviews. The synthesis of the data was then classified according to six criteria: aims; discipline; terminology; context; fidelity; and phase of the process. Such criteria were identified throughout the reviewing process and served as a basis for the development of the classification framework—each criterion became a specific data cluster. Finally, by turning the framework into an interactive tool, we were able to cross-reference the clusters of data in pairs, taking the cluster aims as a benchmark. While developing the classification framework, we carried out a second analysis of the summarised literature, implementing the Grounded Theory (GT). This further analysis—performed in parallel with the other—was aimed at gaining a deeper understanding of the subject under examination. As a result of this enquiry, we developed thirteen themes and four theoretical concepts—these concepts interpret the broad phenomena underlying the evolution of the role of prototypes in design research.