A requirement-driven approach for competency-based collaboration in industrial data science projects
The ongoing digitization of online learning resources has led to a proliferation of collaboration platforms for specific areas of application and disciplines. Simultaneously, especially manufacturing companies need to gain and secure knowledge in the field of Industrial Data Science (IDS) and to col...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Universitat Politecnica de Valencia
2024-01-01
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| Series: | International Journal of Production Management and Engineering |
| Subjects: | |
| Online Access: | https://polipapers.upv.es/index.php/IJPME/article/view/19123 |
| _version_ | 1797337831994032128 |
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| author | Marius Syberg Nikolai West Jörn Schwenken Rebekka Adams Jochen Deuse |
| author_facet | Marius Syberg Nikolai West Jörn Schwenken Rebekka Adams Jochen Deuse |
| author_sort | Marius Syberg |
| collection | DOAJ |
| description | The ongoing digitization of online learning resources has led to a proliferation of collaboration platforms for specific areas of application and disciplines. Simultaneously, especially manufacturing companies need to gain and secure knowledge in the field of Industrial Data Science (IDS) and to collaborate with partners to form a competitive value chain. In this paper, collaborative and competency-based requirements for applying industrial data analytics are adapted into specifications for implementing a collaboration platform. The currently absent requirements of IDS projects are defined and then turned into platform-specific functions. In an ongoing research project the functions are applied in an online platform. The usage in a system of dynamic value networks validates the defined requirements in a practical environment. The innovation of the platform is its clear focus on IDS project practitioners, who are typically comprised of several different domains. It secures a long-term use of deployed data analytics solutions in the industrial environment. The first version of the developed collaboration platform is available online and still in validation. |
| first_indexed | 2024-03-08T09:20:21Z |
| format | Article |
| id | doaj.art-ad63498064f84450bc2183d9af5cc641 |
| institution | Directory Open Access Journal |
| issn | 2340-4876 |
| language | English |
| last_indexed | 2024-03-08T09:20:21Z |
| publishDate | 2024-01-01 |
| publisher | Universitat Politecnica de Valencia |
| record_format | Article |
| series | International Journal of Production Management and Engineering |
| spelling | doaj.art-ad63498064f84450bc2183d9af5cc6412024-01-31T13:07:26ZengUniversitat Politecnica de ValenciaInternational Journal of Production Management and Engineering2340-48762024-01-01121799010.4995/ijpme.2024.1912318315A requirement-driven approach for competency-based collaboration in industrial data science projectsMarius Syberg0https://orcid.org/0000-0001-8832-4293Nikolai West1https://orcid.org/0000-0002-3657-0211Jörn Schwenken2https://orcid.org/0000-0003-2549-9664Rebekka Adams3Jochen Deuse4https://orcid.org/0000-0003-4066-4357TU Dortmund University TU Dortmund UniversityTU Dortmund University NEOCOSMO GmbHTU Dortmund UniversityThe ongoing digitization of online learning resources has led to a proliferation of collaboration platforms for specific areas of application and disciplines. Simultaneously, especially manufacturing companies need to gain and secure knowledge in the field of Industrial Data Science (IDS) and to collaborate with partners to form a competitive value chain. In this paper, collaborative and competency-based requirements for applying industrial data analytics are adapted into specifications for implementing a collaboration platform. The currently absent requirements of IDS projects are defined and then turned into platform-specific functions. In an ongoing research project the functions are applied in an online platform. The usage in a system of dynamic value networks validates the defined requirements in a practical environment. The innovation of the platform is its clear focus on IDS project practitioners, who are typically comprised of several different domains. It secures a long-term use of deployed data analytics solutions in the industrial environment. The first version of the developed collaboration platform is available online and still in validation.https://polipapers.upv.es/index.php/IJPME/article/view/19123industrial data sciencedata analyticsindustrial productionplatform economycompetence development |
| spellingShingle | Marius Syberg Nikolai West Jörn Schwenken Rebekka Adams Jochen Deuse A requirement-driven approach for competency-based collaboration in industrial data science projects International Journal of Production Management and Engineering industrial data science data analytics industrial production platform economy competence development |
| title | A requirement-driven approach for competency-based collaboration in industrial data science projects |
| title_full | A requirement-driven approach for competency-based collaboration in industrial data science projects |
| title_fullStr | A requirement-driven approach for competency-based collaboration in industrial data science projects |
| title_full_unstemmed | A requirement-driven approach for competency-based collaboration in industrial data science projects |
| title_short | A requirement-driven approach for competency-based collaboration in industrial data science projects |
| title_sort | requirement driven approach for competency based collaboration in industrial data science projects |
| topic | industrial data science data analytics industrial production platform economy competence development |
| url | https://polipapers.upv.es/index.php/IJPME/article/view/19123 |
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