Requirements for the Development of a Collaboration Platform for Competency-Based Collaboration in Industrial Data Science Projects

Syberg, M; West, N; Schwenken, J; Adams, R; Deuse, J

Requirements for the Development of a Collaboration Platform for Competency-Based Collaboration in Industrial Data Science Projects

Syberg, M West, N Schwenken, J Adams, R Deuse, J

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Publisher:: SPRINGER INTERNATIONAL PUBLISHING AG
Publication Type:: Chapter
Citation:: Lecture Notes on Data Engineering and Communications Technologies, 2023, 160, pp. 64-69
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Syberg, M
dc.contributor.author	West, N
dc.contributor.author	Schwenken, J
dc.contributor.author	Adams, R
dc.contributor.author	Deuse, J https://orcid.org/0000-0003-4066-4357
dc.contributor.editor	Marquez, FPG
dc.contributor.editor	Ramirez, IS
dc.contributor.editor	Sanchez, PJB
dc.contributor.editor	DelRio, AM
dc.date.accessioned	2023-11-06T00:52:11Z
dc.date.available	2023-11-06T00:52:11Z
dc.date.issued	2023-01-01
dc.identifier.citation	Lecture Notes on Data Engineering and Communications Technologies, 2023, 160, pp. 64-69
dc.identifier.isbn	978-3-031-27914-0
dc.identifier.uri	http://hdl.handle.net/10453/173023
dc.description.abstract	The ongoing digitization of online learning resources has led to a proliferation of collaboration platforms for specific areas of application and disciplines. Simultaneously, the need for collaboration in the field of data analysis and knowledge management increases, especially for manufacturing companies. In this paper, collaborative and competency-based requirements for applying industrial data analytics are derived into tangible specifications for implementing a collaboration platform. The currently absent requirements of Industrial Data Science (IDS) projects are determined and then translated into platform-specific functions. Using the practical implementation of an ongoing research project, the defined requirements are transformed into features and applied in an online platform. The validation in a system of dynamic value networks serves to confirm the practical suitability of the specified requirements. The innovation of the platform is its clear focus on IDS project practitioners, who are typically comprised of several different domains. They often use a variety of analytics tools and aim for long-term use of deployed solutions. A pilot implementation of the developed platform is available online and additionally serves to validate the platform suitability.
dc.language	en
dc.publisher	SPRINGER INTERNATIONAL PUBLISHING AG
dc.relation.ispartof	Lecture Notes on Data Engineering and Communications Technologies
dc.relation.ispartofseries	Lecture Notes on Data Engineering and Communications Technologies
dc.relation.isbasedon	10.1007/978-3-031-27915-7_12
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Requirements for the Development of a Collaboration Platform for Competency-Based Collaboration in Industrial Data Science Projects
dc.type	Chapter
utslib.citation.volume	160
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	2023-11-06T00:52:06Z
pubs.publication-status	Published
pubs.volume	160

Abstract:

The ongoing digitization of online learning resources has led to a proliferation of collaboration platforms for specific areas of application and disciplines. Simultaneously, the need for collaboration in the field of data analysis and knowledge management increases, especially for manufacturing companies. In this paper, collaborative and competency-based requirements for applying industrial data analytics are derived into tangible specifications for implementing a collaboration platform. The currently absent requirements of Industrial Data Science (IDS) projects are determined and then translated into platform-specific functions. Using the practical implementation of an ongoing research project, the defined requirements are transformed into features and applied in an online platform. The validation in a system of dynamic value networks serves to confirm the practical suitability of the specified requirements. The innovation of the platform is its clear focus on IDS project practitioners, who are typically comprised of several different domains. They often use a variety of analytics tools and aim for long-term use of deployed solutions. A pilot implementation of the developed platform is available online and additionally serves to validate the platform suitability.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/173023