Towards a Metadata Schema for Energy Research Software
Stephan Ferenz, Oliver Werth, Astrid Nie{\ss}e

TL;DR
This paper presents a new metadata schema tailored for energy research software to enhance its discoverability and reusability, aligning with FAIR principles, and emphasizes the importance of user-friendly presentation for effective metadata creation.
Contribution
It introduces a domain-specific metadata schema for energy research software developed through requirement analysis and user testing, filling a significant gap in domain standards.
Findings
Schema balances formalization and interoperability
User-friendly presentation is crucial for metadata creation
Schema effectively meets energy researchers' needs
Abstract
Domain-specific metadata schemas are essential to improve the findability and reusability of research software and to follow the FAIR4RS principles. However, many domains, including energy research, lack established metadata schemas. To address this gap, we developed a metadata schema for energy research software based on a requirement analysis and evaluated it through user testing. Our results show that the schema balances the need for formalization and interoperability, while also meeting the specific needs of energy researchers. Meanwhile, the testing showed that a good presentation of the required information is key to enable researchers to create the required metadata. This paper provides insights into the challenges and opportunities of designing a metadata schema for energy research software.
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Taxonomy
TopicsScientific Computing and Data Management · Research Data Management Practices · Semantic Web and Ontologies
