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Preprint . 2023
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Preprint . 2023
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ZENODO
Preprint . 2023
License: CC BY
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Five Minutes to Write a Software Management Plan – A Machine-actionable Approach to Simplify the Creation of SMPs

Authors: Castro, Leyla Jael; Geist, Lukas; Gonzalez, Esteban; Gonzalez-Ocanto, Mariaisabel; Grossmann, Yves Vincent; Pronk, Thomas; Solanki, Dhwani; +3 Authors

Five Minutes to Write a Software Management Plan – A Machine-actionable Approach to Simplify the Creation of SMPs

Abstract

Abstract: The Software Management Plan (SMP) is a relevant tool for handling research software. Despite benefits for research (e.g., low barrier for researchers, promotion of good practices), SMPs are not yet used across the board. A semi-automated approach can solve this problem. In the following document, we discuss a possible workflow for creating machine-actionable SMPs using various tools. This approach was developed during an NFDI4DataScience hackathon at the German National Library of Medicine (ZB Med) - Information Centre of Life Sciences on maSMPs at the end of 2023.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green