Record link: 
http://hdl.handle.net/20.500.12708/217984
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Title: 
Towards A Data Repository for Educational Factories
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Citation: 
Ekaputra, F. J., Weise, M., Flicker, K., bin Salleh, Mohd. R., Abd Rahman, M. N., Abd Rahman, A. A., Miksa, T., & Rauber, A. (2022). Towards A Data Repository for Educational Factories. In 2022 International Conference on Data and Software Engineering (ICoDSE) (pp. 149–154). https://doi.org/10.1109/ICoDSE56892.2022.9971958
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Publisher DOI: 
10.1109/ICoDSE56892.2022.9971958
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Ekaputra, Fajar Juang 
Weise, Martin 
Flicker, Katharina 
bin Salleh, Mohd. Rizal 
Abd Rahman, Md Nizam 
Abd Rahman, Azrul Azwan 
Miksa, Tomasz 
Rauber, Andreas 
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Organisational Unit: 
E194-04 - Forschungsbereich Data Science 
E058-06 - Fachbereich Zentrum für Forschungsdatenmanagement 
E057-09 - Fachbereich ASC Research Center 
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Published in: 
2022 International Conference on Data and Software Engineering (ICoDSE) 
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Date (published): 
2022
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Event name: 
8th International Conference on Data and Software Engineering (ICoDSE 2022) 
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Event date: 
2-Nov-2022 - 3-Nov-2022
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Event place: 
Denpasar, Bali, Indonesia
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Number of Pages: 
6
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Peer reviewed: 
Yes
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Keywords: 
Data Repository; Trust; Trustworthiness; Data Management; Data Stewardship; Teaching Factory; Pilot Factory
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Abstract: 
The growth of the Industry 4.0 initiatives insinuate the needs for the future manufacturing workforce to embrace digital technology skills complimentary to their core skills. One of the main prerequisites to facilitate the learning of such skills is the availability of data processing flow and repository for capturing and managing manufacturing data. To address this challenge and as result of this research, we have identified a set of core requirements, proposed a data repository architecture, and deployed a prototype of the repository based on this architecture in one of the educational factory at UTeM. We conclude the paper with the discussion on the technical and societal impact to stakeholders as well as the outline of our future work.
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Research Areas: 
Computer Engineering and Software-Intensive Systems: 100%
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Science Branch: 
5090 - Andere Sozialwissenschaften: 10%
1020 - Informatik: 90%
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Appears in Collections:
Conference Paper

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