| ... | ... | @@ -44,17 +44,33 @@ The Orga Team is by no means a closed circle, new members are welcome at any tim |
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## Next Meeting
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### February 19: tbd
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### March 18: Special edition on FAIR research software development
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Zoom link: https://fz-juelich-de.zoom.us/j/69704018922?pwd=N0NOUnBKWkQ3RFBzUE9UVWZsRVRkdz09
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Meeting-ID: 697 0401 8922
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Kenncode: 074863
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Pirogov Anton, Mustafa Soylu<br>
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IAS-9, HMC<br>
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**Best practice made easy: Deploying tools for FAIR research software development**<br>
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Abstract:
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Sustainable software development and metadata practices are crucial for making research software FAIR. Undeniably, this requires an initial investment of time and effort for researching and adopting best practices, as well as for regular maintenance tasks. This impairs the bottom-up adoption of best practices by RSEs. In this talk we present two complementary tools addressing this challenge:
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The command-line tool somesy [1] organizes and synchronizes software project metadata across multiple required or recommended files that are typically used in a software project. It is designed for easy integration into the development workflow, reducing the overhead for software metadata management.
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The fair-python-cookiecutter [2] is a git repository template providing a well-structured foundation for new Python projects. The detailed documentation also turns it into a hands-on educational resource. Besides combining various state-of-the-art tools, it includes somesy to simplify software metadata management. The template follows software engineering practices recommended by DLR and OpenSSF. Furthermore, it supports relevant metadata standards such as REUSE, CITATION.cff and CodeMeta.
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[1]: https://github.com/Materials-Data-Science-and-Informatics/somesy
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[2]: https://github.com/Materials-Data-Science-and-Informatics/fair-python-cookiecutter
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## Past Meetings
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### January 15: Active learning-assisted neutron spectroscopy with log-Gaussian processes
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Zoom link: https://fz-juelich-de.zoom.us/j/67600115361?pwd=dmJlMk9yWkFNT1VDM3ZsbE4vM0Ixdz09<br>
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Meeting ID: 676 0011 5361<br>
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Passcode: 869864<br>
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Active learning-assisted neutron spectroscopy with log-Gaussian processes
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Teixeira Parente et al., Nature Communications 14, 2023
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[journal](https://doi.org/10.1038/s41467-023-37418-8), [arXiv](https://arxiv.org/abs/2209.00980)
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---
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last change: 18.1.2024 sw |
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last change: 13.3.2024 sw |
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