作为联盟服务的中间件路线图,用于农业数据的综合数据检索。

IF 1.5 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Integrative Bioinformatics Pub Date : 2024-11-07 DOI:10.1515/jib-2024-0027
Jorge García Brizuela, Carsten Scharfenberg, Carmen Scheuner, Florian Hoedt, Patrick König, Angela Kranz, Antonia Leidel, Daniel Martini, Gabriel Schneider, Julian Schneider, Lea Sophie Singson, Harald von Waldow, Nils Wehrmeyer, Björn Usadel, Stephan Lesch, Xenia Specka, Matthias Lange, Daniel Arend
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引用次数: 0

摘要

农业面临着气候变化、生物多样性丧失和生产力停滞不前等诸多挑战。不断增加的海量数据和新的数字技术有望克服这些挑战,但必须进行细致的数据整合和数据管理,才能使这些数据发挥作用。FAIRagro联盟是德国国家研究数据基础设施(NFDI)的一部分,将为农业系统科学界开发符合FAIR标准的基础设施服务,并将整合到现有的研究数据基础设施服务中。在此,我们将介绍设计和实施 FAIRagro 中间件基础设施以连接现有数据基础设施的初步步骤。该中间件将提供服务,以实现不同基础设施之间的无缝数据集成。通过在 FAIRagro 搜索和目录中央门户网站以及数据集成和分析工作流系统 "SciWIn "中进行下游处理,数据和元数据将被简化,以用于农业系统科学研究。
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A roadmap for a middleware as a federation service for integrative data retrieval of agricultural data.

Agriculture is confronted with several challenges such as climate change, the loss of biodiversity and stagnating productivity. The massive increasing amount of data and new digital technologies promise to overcome them, but they necessitate careful data integration and data management to make them usable. The FAIRagro consortium is part of the National Research Data Infrastructure (NFDI) in Germany and will develop FAIR compliant infrastructure services for the agrosystems science community, which will be integrated in the existing research data infrastructure service landscape. Here we present the initial steps of designing and implementing the FAIRagro middleware infrastructure to connect existing data infrastructures. The middleware will feature services for the seamless data integration across diverse infrastructures. Data and metadata are streamlined for research in agrosystems science by downstream processing in the central FAIRagro Search and Inventory Portal and the data integration and analysis workflow system "SciWIn".

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来源期刊
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics Medicine-Medicine (all)
CiteScore
3.10
自引率
5.30%
发文量
27
审稿时长
12 weeks
期刊最新文献
A roadmap for a middleware as a federation service for integrative data retrieval of agricultural data. International symposium on integrative bioinformatics 2024 - editorial. The potential of Mitragyna speciosa leaves as a natural source of antioxidants for disease prevention. MCMVDRP: a multi-channel multi-view deep learning framework for cancer drug response prediction. Leonhard Med, a trusted research environment for processing sensitive research data.
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