Citizen Data Scientist: A Design Science Research Method for the Conduct of Data Science Projects
| Autor: | Kaushik Dutta, Alan R. Hevner, Matthew Mullarkey, T. Grandon Gill |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry 05 social sciences 02 engineering and technology Informal learning Design science Data science Domain (software engineering) Software deployment 020204 information systems 0502 economics and business 0202 electrical engineering electronic engineering information engineering Action design research Design science research Project management business 050203 business & management |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783030195038 DESRIST |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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