Towards A Data Repository for Educational Factories

Fajar J. Ekaputra, Martin Weise, Katharina Flicker, Mohd Rizal Bin Salleh, Md Nizam Abd Rahman, Azrul Azwan Abd Rahman, Tomasz Miksa, Andreas Rauber

Publication: Chapter in book/Conference proceedingContribution to conference proceedings


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.

Original languageEnglish
Title of host publicationProceedings of 2022 International Conference on Data and Software Engineering (ICoDSE 2022)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9798350397055
ISBN (Print)9798350397062
Publication statusPublished - 2022
Externally publishedYes
Event2022 International Conference on Data and Software Engineering, ICoDSE 2022 - Bali, Indonesia
Duration: 2 Nov 20223 Nov 2022


Conference2022 International Conference on Data and Software Engineering, ICoDSE 2022

Bibliographical note

Funding Information:
*) Research reported in this publication was jointly supported by the ASEAN-European Academic University Network (ASEA-UNINET), the Austrian Federal Ministry of Education, Science and Research (BMBWF) and the OeAD - Austria’s Agency for Education and Internationalisation.

Publisher Copyright:
© 2022 IEEE.


  • data management
  • data repository
  • educational factories
  • industry 4.0

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