Research data management in clinical neuroscience: the national research data infrastructure initiative

Q3 Medicine
Neuroforum Pub Date : 2021-01-18 DOI:10.1515/nf-2020-0039
C. Klingner, P. Ritter, S. Brodoehl, Christian Gaser, A. Scherag, D. Güllmar, F. Rosenow, U. Ziemann, O. Witte
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引用次数: 2

Abstract

Abstract In clinical neuroscience, there are considerable difficulties in translating basic research into clinical applications such as diagnostic tools or therapeutic interventions. This gap, known as the “valley of death,” was mainly attributed to the problem of “small numbers” in clinical neuroscience research, i.e. sample sizes that are too small (Hutson et al., 2017). As a possible solution, it has been repeatedly suggested to systematically manage research data to provide long-term storage, accessibility, and federate data. This goal is supported by a current call of the DFG for a national research data infrastructure (NFDI). This article will review current challenges and possible solutions specific to clinical neuroscience and discuss them in the context of other national and international health data initiatives. A successful NFDI consortium will help to overcome not only the “valley of death” but also promises a path to individualized medicine by enabling big data to produce generalizable results based on artificial intelligence and other methods.
临床神经科学研究数据管理:国家研究数据基础设施倡议
在临床神经科学中,将基础研究转化为临床应用(如诊断工具或治疗干预)存在相当大的困难。这一差距被称为“死亡之谷”,主要归因于临床神经科学研究中的“小数量”问题,即样本量太小(Hutson et al., 2017)。作为一种可能的解决方案,人们一再建议系统地管理研究数据,以提供长期存储、可访问性和联邦数据。这一目标得到了DFG目前对国家研究数据基础设施(NFDI)的呼吁的支持。本文将回顾当前临床神经科学面临的挑战和可能的解决方案,并在其他国家和国际健康数据倡议的背景下讨论它们。一个成功的NFDI联盟不仅有助于克服“死亡之谷”,而且还有望通过大数据产生基于人工智能和其他方法的可推广结果,从而开辟个性化医疗的道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neuroforum
Neuroforum NEUROSCIENCES-
CiteScore
1.70
自引率
0.00%
发文量
30
期刊介绍: Neuroforum publishes invited review articles from all areas in neuroscience. Readership includes besides basic and medical neuroscientists also journalists, practicing physicians, school teachers and students. Neuroforum reports on all topics in neuroscience – from molecules to the neuronal networks, from synapses to bioethics.
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