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Engineering sciences, such as energy system research, play an important rolein developing solutions to technical, environmental, economic, and socialchallenges of our modern society. In this context, the transformation of energysystems into climate-neutral systems is one of the key strategies formitigating climate change. For the transformation of energy systems, engineersmodel, simulate and analyze scenarios and transformation pathways to initiatedebates about possible transformation strategies. For these debates andresearch in general, all steps of the research process must be traceable toguarantee the trustworthiness of published results, avoid redundancies, andensure their social acceptance. However, the analysis of energy systems is aninterdisciplinary field as the investigations of large, complex energy systemsoften require the use of different software applications and large amounts ofheterogeneous data. Engineers must therefore communicate, understand, and(re)use heterogeneous scientific knowledge and data. Although the importance ofFAIR scientific knowledge and data in the engineering sciences and energysystem research is increasing, little research has been conducted on thistopic. When it comes to publishing scientific knowledge and data frompublications, software, and datasets (such as models, scenarios, andsimulations) openly available and transparent, energy system research lagsbehind other research domains. According to Schmitt et al. and Nie{\ss}e etal., engineers need technical support in the form of infrastructures, services,and terminologies to improve communication, understanding, and (re)use ofscientific knowledge and data.

Organizing Scientific Knowledge From Energy System Research Using the Open Research Knowledge Graph