Abstract
In computational engineering, numerical simulations produce huge amounts of data. To keep this research data findable, accessible, inter-operable and reusable, a structured description of the data is indispensable. This paper outlines the genesis of EngMeta – a metadata model designed to describe engineering simulation data with a focus on thermodynamics and aerodynamics. The metadata model, developed in close collaboration with engineers, is based on existing standards and adds discipline-specific information as the main contribution. Characteristics of the observed system offer researchers important search criteria. Information on the hardware and software used and the processing steps involved helps to understand and replicate the data. Such metadata are crucial to keeping the data FAIR and bridging the gap to a sustainable research data management in computational engineering.
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Notes
- 1.
See Metadata Directory of the RDA, http://rd-alliance.github.io/metadata-directory/standards/, last checked on June, 4th, 2018.
- 2.
In contrast, climate sciences offer much more advanced research data management possibilities making use of well-established metadata models [8].
- 3.
The project DIPL-ING (http://www.ub.uni-stuttgart.de/dipling) is funded by the Federal Ministry of Education and Research (BMBF) under grant no 16FMD008.
- 4.
The full XSD file as well as an example can be found online: http://www.ub.uni-stuttgart.de/engmeta, last checked on Aug, 16th, 2018.
- 5.
https://dataverse.org/, last checked on August, 16th, 2018.
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Schembera, B., Iglezakis, D. (2019). The Genesis of EngMeta - A Metadata Model for Research Data in Computational Engineering. In: Garoufallou, E., Sartori, F., Siatri, R., Zervas, M. (eds) Metadata and Semantic Research. MTSR 2018. Communications in Computer and Information Science, vol 846. Springer, Cham. https://doi.org/10.1007/978-3-030-14401-2_12
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