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神经科学领域特定的数据共享:我们彼此需要学习什么?

Domain-specific data sharing in neuroscience: what do we have to learn from each other?

作者信息

Van Horn John Darrell, Ball Catherine A

机构信息

Laboratory of Neuro Imaging (LONI), Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, 635 Charles E. Young Drive SW, Suite 225, Los Angeles, CA 90095-7334, USA.

出版信息

Neuroinformatics. 2008 Summer;6(2):117-21. doi: 10.1007/s12021-008-9019-9. Epub 2008 May 13.

Abstract

Molecular biology and genomics have made notable strides in the sharing of primary data and resources. In other domains of neuroscience research, however, there has been resistance to adopting formalized strategies for data exchange, archiving, and availability. In this article, we discuss how neuroscience domains might follow the lead of molecular biology on what has been successful and what has failed in active data sharing. This considers not only the technical challenges but also the sociological concerns in making it possible. Though, not a pain-free process, with increased data availability, scientists from multiple fields can enjoy greater opportunity for novel discoveries about the brain in health and disease.

摘要

分子生物学和基因组学在原始数据和资源共享方面取得了显著进展。然而,在神经科学研究的其他领域,人们对采用正式的数据交换、存档和可用性策略存在抵触情绪。在本文中,我们将探讨神经科学领域如何借鉴分子生物学的经验,了解主动数据共享中的成功与失败之处。这不仅要考虑技术挑战,还要考虑实现数据共享所涉及的社会学问题。虽然这并非一个轻松的过程,但随着数据可用性的提高,来自多个领域的科学家将有更多机会在健康和疾病状态下对大脑进行新的发现。

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