整合神经科学数据基础：以神经元形态学为例。

Mobilizing the base of neuroscience data: the case of neuronal morphologies.

作者信息

Ascoli Giorgio A

机构信息

Krasnow Institute for Advanced Study and the Psychology Department, George Mason University, Fairfax, Virginia 22030, USA.

出版信息

Nat Rev Neurosci. 2006 Apr;7(4):318-24. doi: 10.1038/nrn1885.

DOI:10.1038/nrn1885

PMID:16552417

Abstract

Despite the explosive growth of bioinformatics, data sharing has not yet become routine in neuroscience, possibly because of several broad-spanning issues, from data heterogeneity to privacy regulations. We present the case of neuronal morphology as an ideal example of shareable data. Drawing from recent experience, we argue that the tremendous research potential of existing (and largely unused) digital reconstructions should diffuse any reticence to sharing this type of data.

摘要

尽管生物信息学发展迅猛，但数据共享在神经科学领域尚未成为常规做法，这可能是由于从数据异质性到隐私法规等一系列广泛存在的问题所致。我们以神经元形态为例，说明其是可共享数据的理想范例。基于近期经验，我们认为现有（且大多未被利用）的数字重建所具有的巨大研究潜力应消除对共享此类数据的任何顾虑。