Data sharing in neuroimaging research.
Data sharing in neuroimaging research.
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DOI：
10.3389/fninf.2012.00009
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发表时间：
2012
影响因子：
3.5
通讯作者：
Kennedy DN
中科院分区：
文献类型：
--
作者：
Poline JB;Breeze JL;Ghosh S;Gorgolewski K;Halchenko YO;Hanke M;Haselgrove C;Helmer KG;Keator DB;Marcus DS;Poldrack RA;Schwartz Y;Ashburner J;Kennedy DN
世界各地的大量资源已经投入到脑功能和疾病的神经成像研究中。更容易地获得这一庞大的工作应该对认知神经科学和精神病学的研究产生深远的影响，导致精神和神经疾病的诊断和治疗取得进展。近年来出现了一种增加神经影像学数据共享的趋势。然而，一些障碍继续阻碍这一势头。许多研究人员和机构仍然不确定如何共享数据，或者缺乏参与数据共享的工具和专业知识。电子数据捕获（EDC）方法在神经成像中的应用大大简化了数据收集的任务，并有可能帮助标准化数据共享的许多方面。我们在此回顾共享神经影像数据的动机，当前的数据共享前景，以及仍然需要解决的社会学或技术障碍。INCF神经成像数据共享工作组与世界各地的几个协作小组合作，已经开始开发一些工具，以简化并最终实现数据共享实践的自动化。希望这样的工具将使研究人员能够轻松地共享原始、处理和衍生的神经成像数据，并具有适当的元数据和来源记录，并将提高神经成像研究的可重复性。通过在商品研究环境中提供数据共享和分析工具的无缝集成，工作队寻求识别和最小化神经成像领域数据共享的障碍。
Significant resources around the world have been invested in neuroimaging studies of brain function and disease. Easier access to this large body of work should have profound impact on research in cognitive neuroscience and psychiatry, leading to advances in the diagnosis and treatment of psychiatric and neurological disease. A trend toward increased sharing of neuroimaging data has emerged in recent years. Nevertheless, a number of barriers continue to impede momentum. Many researchers and institutions remain uncertain about how to share data or lack the tools and expertise to participate in data sharing. The use of electronic data capture (EDC) methods for neuroimaging greatly simplifies the task of data collection and has the potential to help standardize many aspects of data sharing. We review here the motivations for sharing neuroimaging data, the current data sharing landscape, and the sociological or technical barriers that still need to be addressed. The INCF Task Force on Neuroimaging Datasharing, in conjunction with several collaborative groups around the world, has started work on several tools to ease and eventually automate the practice of data sharing. It is hoped that such tools will allow researchers to easily share raw, processed, and derived neuroimaging data, with appropriate metadata and provenance records, and will improve the reproducibility of neuroimaging studies. By providing seamless integration of data sharing and analysis tools within a commodity research environment, the Task Force seeks to identify and minimize barriers to data sharing in the field of neuroimaging.
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影响因子：
2
作者：
Hunter, M.;Smith, R. L. L.;Henskens, F.
通讯作者：
Henskens, F.
影响因子：
3.5
作者：
Gorgolewski K;Burns CD;Madison C;Clark D;Halchenko YO;Waskom ML;Ghosh SS
通讯作者：
Ghosh SS
影响因子：
1.8
作者：
Hrynaszkiewicz, Iain
通讯作者：
Hrynaszkiewicz, Iain
影响因子：
3.7
作者：
Dinov, Ivo;Lozev, Kamen;Toga, Arthur
通讯作者：
Toga, Arthur
影响因子：
3.5
作者：
Hanke M;Halchenko YO
通讯作者：
Halchenko YO