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machine-actionable Software Management Plan Ontology (maSMP Ontology)

Authors: Castro Leyla Jael; Giraldo Olga; Geist Lukas; Quiñones Nelson; Solanki Dhwani; Rebholz-Schuhmann Dietrich;

machine-actionable Software Management Plan Ontology (maSMP Ontology)

Abstract

We have defined a metadata model in the form of an ontology representing the necessary metadata elements for a maSMP. The metadata model includes entities involved in software management planning; such as an SMP itself, software source code, software release, documentation, authors and their relations. We are reusing terms mainly from schema.org and from DCSO, with some few additions of our own. Acknowledgments This 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. This project has been supported by the Good Practices Focus Group part of the ELIXIR Tools Platform. The work presented in this short paper was part of Project 17 at the BioHackathon Europe 2022.

In the file name "maSMP_ontology_v03.owl" was modified the range of the object property "suppportingData" to Thing (we had it as CreativeWork in the v0.0.3).

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Keywords

research software, machine-actionable, ontology, metadata model, Software Management Plan (SMP)

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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.
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).
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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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