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EBRAINS Live Papers - Interactive Resource Sheets for Computational Studies in Neuroscience

Academic Article
Publication Date:
2023
abstract:
We present here an online platform for sharing resources underlying publications in neuroscience. It enables authors to easily upload and distribute digital resources, such as data, code, and notebooks, in a structured and systematic way. Interactivity is a prominent feature of the Live Papers, with features to download, visualise or simulate data, models and results presented in the corresponding publications. The resources are hosted on reliable data storage servers to ensure long term availability and easy accessibility. All data are managed via the EBRAINS Knowledge Graph, thereby helping maintain data provenance, and enabling tight integration with tools and services offered under the EBRAINS ecosystem.
Iris type:
01.01 Articolo in rivista
Keywords:
Computational neuroscience; Data retrieval; Data provenance; Documentation; Experimental data
List of contributors:
Migliore, Michele; Bologna, LUCA LEONARDO
Authors of the University:
BOLOGNA LUCA LEONARDO
MIGLIORE MICHELE
Handle:
https://iris.cnr.it/handle/20.500.14243/417542
Published in:
NEUROINFORMATICS (ONLINE)
Journal
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http://www.scopus.com/inward/record.url?eid=2-s2.0-85136551455&partnerID=q2rCbXpz
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