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Feuille de route IFB 2021-2028: MUDIS4LS

Authors: Van Helden, Jacques; Seiler, Julien; Corguillé, Gildas Le; Médigue, Claudine; IFB Teams;

Feuille de route IFB 2021-2028: MUDIS4LS

Abstract

The main goal of MuDiS4LS (Mutualized Digital Space for FAIR data in Life and Health Sciences) is to develop a framework that will rely on the national and regional data centers to enable scientists controlling the flow of biological data, from their origin (data-producing national infrastructures) to their public release in national or international repositories, while ensuring their mid-term securing during the intermediate phases of analysis and exploitation. The basis of MuDiS4LS will be the National Network of Computing Resources (NNCR) launched by IFB in 2017 with a mutualized task force contributed by permanent staff from 9 platforms located in 6 regions of France. Our objective is for the 21 member platforms of the IFB to collaborate in the operation of the NNCR, making it possible to extend its scope of action to 9 regions of France.

Keywords

French Bioinformatics Institute, Open Science, FAIR, DMP, Mutualized Digital Space, Data science, Artificial Intelligence

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selected citations
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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).
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.
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