Paper Number

1879

Paper Type

CRP

Abstract

Data science (DS) projects have become indispensable across a wide range of industries. Various data science process models (DSPM) have been proposed to provide structure and guidance for the project process. Despite recognizing the efficiency of DSPM, their practical adoption has been limited. However, the increasing frequency of data science projects and the associated repetitive process execution highlight the importance of this gap and justify further investigations. To support the application of DSPM by practitioners and guide further research, a comprehensive overview and systematic categorization of DSPM is necessary. Our research addresses this need by creating a taxonomy of DSPM. We utilized both inductive and deductive research methods to develop a taxonomy that includes three categories, 13 dimensions, and 67 characteristics. The taxonomy is demonstrated using a sample of 35 DSPM from the literature and evaluated through twelve expert interviews with DS experts and researchers.

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Jun 14th, 12:00 AM

A Taxonomy of Data Science Process Models: Insights from Science and Practice

Data science (DS) projects have become indispensable across a wide range of industries. Various data science process models (DSPM) have been proposed to provide structure and guidance for the project process. Despite recognizing the efficiency of DSPM, their practical adoption has been limited. However, the increasing frequency of data science projects and the associated repetitive process execution highlight the importance of this gap and justify further investigations. To support the application of DSPM by practitioners and guide further research, a comprehensive overview and systematic categorization of DSPM is necessary. Our research addresses this need by creating a taxonomy of DSPM. We utilized both inductive and deductive research methods to develop a taxonomy that includes three categories, 13 dimensions, and 67 characteristics. The taxonomy is demonstrated using a sample of 35 DSPM from the literature and evaluated through twelve expert interviews with DS experts and researchers.

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