Development of a Transdisciplinary Role Concept for the Process Chain of Industrial Data Science

Schwenken, J; Klupak, C; Syberg, M; West, N; Walker, F; Deuse, J

Development of a Transdisciplinary Role Concept for the Process Chain of Industrial Data Science

Schwenken, J Klupak, C Syberg, M West, N Walker, F Deuse, J

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Publisher:: Springer Nature
Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Networks and Systems, 2023, 572, pp. 81-88
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Schwenken, J
dc.contributor.author	Klupak, C
dc.contributor.author	Syberg, M
dc.contributor.author	West, N
dc.contributor.author	Walker, F
dc.contributor.author	Deuse, J https://orcid.org/0000-0003-4066-4357
dc.date.accessioned	2023-11-06T00:56:43Z
dc.date.available	2023-11-06T00:56:43Z
dc.date.issued	2023-01-01
dc.identifier.citation	Lecture Notes in Networks and Systems, 2023, 572, pp. 81-88
dc.identifier.isbn	9789811976148
dc.identifier.issn	2367-3370
dc.identifier.issn	2367-3389
dc.identifier.uri	http://hdl.handle.net/10453/173025
dc.description.abstract	In recent years, there has been an increasing interest in using industrial data science (IDS) in manufacturing companies. Structured IDS projects proceed according to process models such as the cross industry standard process for data mining (CRISP-DM), knowledge discovery in databases (KDD), or the process chain of industrial data science. Because of the process Chain’s transdisciplinary procedure, the participation of different people in the analysis with different tasks and competencies is necessary. Therefore, a concept to define specific roles is required, since it provides unequivocal descriptions of the respective tasks. As no role concept for the process chain of IDS exists, this paper develops and presents a transdisciplinary role concept including the four essential roles: Data engineer, analyst, user, and project manager. These roles are described in terms of their characteristics to enable structured cooperation between them. In addition, this paper presents the AKKORD platform for learning and collaboration, which especially should make an important contribution for small and medium-sized enterprises (SME) to develop knowledge in the usage of the process chain of IDS. The platform provides the opportunity for the users to train the essential roles with their characteristics in the company through targeted competence development.
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	Lecture Notes in Networks and Systems
dc.relation.ispartofseries	Lecture Notes in Networks and Systems
dc.relation.isbasedon	10.1007/978-981-19-7615-5_7
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Development of a Transdisciplinary Role Concept for the Process Chain of Industrial Data Science
dc.type	Conference Proceeding
utslib.citation.volume	572
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAM - Centre for Advanced Manufacturing
utslib.copyright.status	closed_access	*
dc.date.updated	2023-11-06T00:56:41Z
pubs.publication-status	Published
pubs.volume	572

Abstract:

In recent years, there has been an increasing interest in using industrial data science (IDS) in manufacturing companies. Structured IDS projects proceed according to process models such as the cross industry standard process for data mining (CRISP-DM), knowledge discovery in databases (KDD), or the process chain of industrial data science. Because of the process Chain’s transdisciplinary procedure, the participation of different people in the analysis with different tasks and competencies is necessary. Therefore, a concept to define specific roles is required, since it provides unequivocal descriptions of the respective tasks. As no role concept for the process chain of IDS exists, this paper develops and presents a transdisciplinary role concept including the four essential roles: Data engineer, analyst, user, and project manager. These roles are described in terms of their characteristics to enable structured cooperation between them. In addition, this paper presents the AKKORD platform for learning and collaboration, which especially should make an important contribution for small and medium-sized enterprises (SME) to develop knowledge in the usage of the process chain of IDS. The platform provides the opportunity for the users to train the essential roles with their characteristics in the company through targeted competence development.

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http://hdl.handle.net/10453/173025