Machine-Actionable Metadata for Software and Software Management Plans for NFDI - Presentation
Creators
- 1. ZB MED Information Centre for Life Sciences
- 2. GESIS - Leibniz-Institute for the Social Sciences
Description
Research data is on its way to be recognized as a first-class citizen in research; however, and despite its importance for science, software still has a long way to go. Recent initiatives are paving the way, including FAIR for Research Software and Software Management Plans. A step further towards machine-actionability is adding a structured metadata layer. Here we discuss some metadata elements useful to represent software and integrate it into management plans, and how it could be of benefit for NFDI.
These slides were presented at CoRDI Conference 2023 and the corresponding paper is available at https://doi.org/10.52825/cordi.v1i.279.
The machine-actional SMP project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101017536 and is part of the Research Data Alliance and European Open Science Cloud Future call 2022. NFDI4DataScience consortium is funded by the Deutsche Forschungsgemeinschaft DFG, project no.460234259.
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20230914 - maSMP for NFDI - Presentation.pdf
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Additional details
Related works
- Cites
- Report: 10.5281/zenodo.8087357 (DOI)
- Other: 10.5281/zenodo.8089518 (DOI)
- Is supplement to
- Conference paper: 10.52825/cordi.v1i.279 (DOI)
- References
- Conference paper: 10.4126/FRL01-006444988 (DOI)