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Towards Improved Findability of Energy Research Software by Introducing a Metadata-based Registry

Stephan Ferenz, Astrid Nieße

2023-03-01 Data Infrastructure, Data Management Software

Research software in the energy domain becomes increasingly important for the analysis, simulation, and optimization of energy systems and supports design decisions in the required transition of energy systems to tackle the climate crisis. To make energy research software (ERS) more findable, it should be described with metadata following the FAIR (findable, accessible, interoperable, and [...]

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