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Abstract

Mechanical engineers are often faced with the challenge to keep track of the results of experiments done within their own institutions or other research groups. The lack of this knowledge may cause a potential waste of resources and time since experiments might be repeated if the existence of previous experiments is unknown or the data cannot be reused. The main problem with managing scientific data is the huge amount of experiments, the lack of public access to the results, and often missing meta-data which would be needed to compare the results. This article considers experiments and data resulting from experiments of Stress-Strain and Continuous-Cooling-Transformation experiments. It is shown how a web-driven data management process starting from the planning of experiments through to the evaluation of the measurement data could be supported by an appropriate work-flow to make sure that all meta-data is preserved to find and reuse the results.

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Acknowledgements

This work is supported by the Welding Engineering group of the TU Chemnitz and by the Federal Cluster of Excellence EXC 1075 MERGE Technologies for Multifunctional Lightweight Structures financed by the German Research Foundation (DFG).

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Correspondence to Ronny Kramer .

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Kramer, R., Rünger, G. (2020). A Web-Based Support for the Management and Evaluation of Measurement Data from Stress-Strain and Continuous-Cooling-Transformation Experiments. In: Borzemski, L., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019. ISAT 2019. Advances in Intelligent Systems and Computing, vol 1050. Springer, Cham. https://doi.org/10.1007/978-3-030-30440-9_15

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