Ferenz, Stephan ; Nieße, Astrid (2024)
Towards Improved Findability of Energy Research Software by Introducing a Metadata-based Registry.
In: ing.grid : FAIR data management in engineering sciences, 2023, 1 (2)
doi: 10.26083/tuprints-00026428
Article, Secondary publication, Publisher's Version
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| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | Towards Improved Findability of Energy Research Software by Introducing a Metadata-based Registry |
| Language: | English |
| Date: | 25 March 2024 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 29 November 2023 |
| Place of primary publication: | Darmstadt |
| Publisher: | Universitäts- und Landesbibliothek Darmstadt |
| Journal or Publication Title: | ing.grid : FAIR data management in engineering sciences |
| Volume of the journal: | 1 |
| Issue Number: | 2 |
| Collation: | 16 Seiten |
| DOI: | 10.26083/tuprints-00026428 |
| Corresponding Links: | |
| Origin: | Secondary publication from TUjournals |
| Abstract: | 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 reusable) principles and be registered in a common registry. To this end, we motivate and present a concept for a metadata-based registry for ERS which should enable researchers to easily add new ERS as well as to find new ERS. |
| Uncontrolled Keywords: | interoperability, digital libraries, energy research, FAIR, research software, metadata, open source software, software reusability |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-264280 |
| Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
| Divisions: | 16 Department of Mechanical Engineering > Institute for Fluid Systems (FST) (since 01.10.2006) > Research Data Management and Digital Literacy |
| Date Deposited: | 25 Mar 2024 13:32 |
| Last Modified: | 25 Mar 2024 13:33 |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/26428 |
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