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1000
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Abstract/Summary
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FAIR data principles are important in the energy sector for enabling comparisons of data sets and ensuring that interested parties in this and other sectors can fully understand energy system data. However, these parties may have different priorities and requirements for the management of these data. This paper presents the results of a literature review of research data management requirements in the field of energy systems research, conducted to better understand which requirements are considered most important by energy researchers. The paper then outlines some tools that can help address data management requirements in the energy domain: the Open Energy Ontology, the NFDI4Energy platform, and the Leibniz Data Manager, a research data management repository that resorts to Semantic Web technologies to enable FAIR principles in the lifecycle of energy-related data.
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