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

IF 2.7 4区 医学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Neuroinformatics Pub Date : 2023-01-01 DOI:10.1007/s12021-022-09598-z
Shailesh Appukuttan, Luca L Bologna, Felix Schürmann, Michele Migliore, Andrew P Davison
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引用次数: 8

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.

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EBRAINS Live论文-神经科学计算研究的交互式资源表。
我们在这里提出了一个在线平台,用于共享神经科学出版物的资源。它使作者能够以结构化和系统化的方式轻松上传和分发数字资源,如数据、代码和笔记本。互动性是Live Papers的一个突出特点,具有下载、可视化或模拟相应出版物中呈现的数据、模型和结果的功能。这些资源托管在可靠的数据存储服务器上,以确保长期可用性和易于访问。所有数据都通过EBRAINS知识图谱进行管理,从而帮助维护数据来源,并实现与EBRAINS生态系统下提供的工具和服务的紧密集成。
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来源期刊
Neuroinformatics
Neuroinformatics 医学-计算机:跨学科应用
CiteScore
6.00
自引率
6.70%
发文量
54
审稿时长
3 months
期刊介绍: Neuroinformatics publishes original articles and reviews with an emphasis on data structure and software tools related to analysis, modeling, integration, and sharing in all areas of neuroscience research. The editors particularly invite contributions on: (1) Theory and methodology, including discussions on ontologies, modeling approaches, database design, and meta-analyses; (2) Descriptions of developed databases and software tools, and of the methods for their distribution; (3) Relevant experimental results, such as reports accompanie by the release of massive data sets; (4) Computational simulations of models integrating and organizing complex data; and (5) Neuroengineering approaches, including hardware, robotics, and information theory studies.
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