Citizen Data Scientist: A Design Science Research Method for the Conduct of Data Science Projects

Document Type

Conference Proceeding

Publication Date

2019

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-030-19504-5_13

Abstract

Firms are seeking to gain greater understanding of and insights into more and more massive quantities of data collected and stored in disparate public and private databases. To effectively and efficiently deploy project resources to the data science search activity and to consequently build and evaluate innovative artifacts, firms are finding that a Design Science Research (DSR) approach can extend into the Data Science (DS) project domain through an iterative, evaluative project management method for the diagnosing, design, implementation, and evolution of data science artifacts. Importantly, DSR also provides a guided, emergent search paradigm that can be integral to finding hidden insights in massive data where the problem and solution domains are both frequently poorly understood at the outset of the DS inquiry. This article examines a case for using the elaborated action design research (eADR) method to inform the DS project management (PM) approach in situ with a Fortune 100 Global Manufacturer. The innovative DS PM approach resulted in multiple innovative DS solution artifacts built and evaluated by a dozen DS PM teams at the firm over the first two years of the DS PM deployment.

Was this content written or created while at USF?

Yes

Citation / Publisher Attribution

Citizen Data Scientist: A Design Science Research Method for the Conduct of Data Science Projects, in B. Tulu, S. Djamasbi & G. Leroy (Eds.), Extending the Boundaries of Design Science Theory and Practice, Springer International Publishing, p. 191-205

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