NFDI4Ing - the National Research Data Infrastructure for Engineering Sciences

Schmitt, Robert; Anthofer, Verena; Auer, Sören; Başkaya, Sait; Bischof, Christian; Bronger, Torsten; Claus, Florian; Cordes, Florian; Demandt, Évariste; Eifert, Thomas; Flemisch, Bernd; Fuchs, Matthias; Fuhrmans, Marc; Gerike, Regine; Gerstner, Eva-Maria; Hanke, Vanessa; Heine, Ina; Huebser, Louis; Iglezakis, Dorothea; Jagusch, Gerald; Klinger, Axel; Krafczyk, Manfred; Kraft, Angelina; Kuckertz, Patrick; Küsters, Ulrike; Lachmayer, Roland; Langenbach, Christian J.; Mozgova, Iryna; Müller, Matthias S.; Nestler, Britta; Pelz, Peter F.; Politze, Marius; Preuß, Nils; Przybylski-Freund, Marie-Dominique; Rißler-Pipka, Nanette; Robinius, Martin; Schachtner, Joachim; Schlenz, Hartmut; Schwarz, Annett; Schwibs, Jürgen; Selzer, Michael; Sens, Irina; Stäcker, Thomas; Stemmer, Christian; Stille, W; Stolten, Detlef; Stotzka, Rainer; Streit, Achim; Strötgen, Robert; Wang, Weimin

doi:10.5281/zenodo.4015201

Cited by 7 publications

(8 citation statements)

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“…As part of research data management, the documentation of the engineering research will play an important role in the future. Currently, efforts are being made to facilitate and to standardize research data management in engineering that adheres to the FAIR principles (Schmitt et al, 2020). For these reasons, the documentation of the vocabulary and the rules in the reviewed articles are examined.…”

Section: Documentation Of the Production Systemmentioning

confidence: 99%

Graph transformation in engineering design: an overview of the last decade

Voss

Petzold

Rudolph

2023

AIEDAM

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In engineering and architecture, different approaches have been developed that share the use of graph transformation to automate design processes or to search for design solutions by means of computational design synthesis. In order to give an overview of these approaches, we provide a review of articles published in the last decade. Forty-eight articles were reviewed to determine similarities and differences of these approaches. Research fields in method development for the representation of design problems and the processing of graph transformations, as well as the application of graph transformations in engineering, architecture, and shape grammars were identified. Different approaches for the documentation of the vocabulary and the rules were examined. Finally, different approaches for rule applications were analyzed. Based on found limitations, future research directions are suggested.

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Section: Documentation Of the Production Systemmentioning

confidence: 99%

Graph transformation in engineering design: an overview of the last decade

Voss

Petzold

Rudolph

2023

AIEDAM

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“…Engineering sciences, such as energy system research, play an important role in developing solutions to technical, environmental, economic, and social challenges of our modern society [1], [2]. In this context, the transformation of energy systems into climate-neutral systems is one of the key strategies for mitigating climate change.…”

Section: Introductionmentioning

confidence: 99%

“…For the transformation of energy systems, engineers model, simulate and analyze scenarios and transformation pathways to initiate debates about possible transformation strategies. For these debates and research in general, all steps of the research process must be traceable to guarantee the trustworthiness of published results, avoid redundancies, and ensure their social acceptance [1], [3]. However, the analysis of energy systems is an interdisciplinary field as the investigations of large, complex energy systems often require the use of different software applications and large amounts of heterogeneous data [2].…”

Section: Introductionmentioning

confidence: 99%

“…Engineers must therefore communicate, understand, and (re)use heterogeneous scientific knowledge and data [2], [4]. Although the importance of FAIR [5] scientific knowledge and data in the engineering sciences and energy system research is increasing, little research has been conducted on this topic [1], [2]. When it comes to publishing scientific knowledge and data from publications, software, and datasets (such as models, scenarios, and simulations) openly available and transparent, energy system research lags behind other research domains [3].…”

Section: Introductionmentioning

confidence: 99%

“…When it comes to publishing scientific knowledge and data from publications, software, and datasets (such as models, scenarios, and simulations) openly available and transparent, energy system research lags behind other research domains [3]. According to Schmitt et al [1] and Nieße et al [2], engineers need technical support in the form of infrastructures, services, and terminologies to improve communication, understanding, and (re)use of scientific knowledge and data.…”

Section: Introductionmentioning

confidence: 99%

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