A Metadata Model for Data-Driven Applications in Engineering Sciences: a Use Case Approach

Note: This is a secondary publication. The article was originally published 2024 in International Journal On Advances in Software, 17(3&4), 191-213: Feldhoff, K., Zinner, M., Conrad, F., Wiemer, H., Weller, J., & Ihlenfeldt, S. (2024). A Metadata Model for Data-Driven Applications in Engineering Sciences: a Use Case Approach. International Journal On Advances in Software, 17(3&4), 191-213. http://www.iariajournals.org/software/soft_v17_n34_2024_paged.pdf Acknowledgment: This research was partially funded by the German Research Foundation within the Research Training Group GRK2250/2 - Project C3 (grant number 287321140), by the Sächsische Aufbaubank (SAB), through the European Regional Development Fund (ERDF), and co-financed with tax revenue based on the budget approved by the parliament of the Free State of Saxony, Germany, within the research project "AMTwin" (grant number 100373343). The German Federal Ministry for Economic Affairs and Climate Protection (BMWK) has provided funding for this research project based on decisions made by the German Bundestag within the joint research projects "SWaT" (grant number 20M2112F) and "LaSt" (grant number 20M2118F). Additionally, the BMWK has provided funding for the project through the funding guideline "Digitization of the vehicle manufacturers and supplier industry" within the funding framework "Future investments in vehicle manufacturers and the supplier industry", which is financed by the European Union and supervised by the project sponsor VDI Technologiezentrum GmbH within the joint research project "Werk 4.0" (Grant number 13IK022K).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-30
DOI
https://doi.org/10.5281/zenodo.17506338
Primary Topic
Research Data Management Practices
Type
article
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article

A Metadata Model for Data-Driven Applications in Engineering Sciences: a Use Case Approach

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

A Metadata Model for Data-Driven Applications in Engineering Sciences: a Use Case Approach

article en

Abstract

Note: This is a secondary publication. The article was originally published 2024 in International Journal On Advances in Software, 17(3&4), 191-213: Feldhoff, K., Zinner, M., Conrad, F., Wiemer, H., Weller, J., & Ihlenfeldt, S. (2024). A Metadata Model for Data-Driven Applications in Engineering Sciences: a Use Case Approach. International Journal On Advances in Software, 17(3&4), 191-213. http://www.iariajournals.org/software/soft_v17_n34_2024_paged.pdf Acknowledgment: This research was partially funded by the German Research Foundation within the Research Training Group GRK2250/2 - Project C3 (grant number 287321140), by the Sächsische Aufbaubank (SAB), through the European Regional Development Fund (ERDF), and co-financed with tax revenue based on the budget approved by the parliament of the Free State of Saxony, Germany, within the research project "AMTwin" (grant number 100373343). The German Federal Ministry for Economic Affairs and Climate Protection (BMWK) has provided funding for this research project based on decisions made by the German Bundestag within the joint research projects "SWaT" (grant number 20M2112F) and "LaSt" (grant number 20M2118F). Additionally, the BMWK has provided funding for the project through the funding guideline "Digitization of the vehicle manufacturers and supplier industry" within the funding framework "Future investments in vehicle manufacturers and the supplier industry", which is financed by the European Union and supervised by the project sponsor VDI Technologiezentrum GmbH within the joint research project "Werk 4.0" (Grant number 13IK022K).

Zenodo (CERN European Organization for Nuclear Research)
Fraunhofer Institute for Machine Tools and Forming Technology (DE), Technische Universität Dresden (DE)
Climate action
Openalex Percentile: Top 30%
Research Data Management Practices
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