SchizConnect: Mediating neuroimaging databases on schizophrenia and related disorders for large-scale integration.
SchizConnect: Mediating neuroimaging databases on schizophrenia and related disorders for large-scale integration.
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DOI：
10.1016/j.neuroimage.2015.06.065
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发表时间：
2016-01-01
期刊：
影响因子：
5.7
通讯作者：
Ambite JL
中科院分区：
文献类型：
--
作者：
Wang L;Alpert KI;Calhoun VD;Cobia DJ;Keator DB;King MD;Kogan A;Landis D;Tallis M;Turner MD;Potkin SG;Turner JA;Ambite JL
SchizConnect （www.schizconnect.org）是为了解决精神分裂症神经影像学研究中多个数据存储库的问题而建立的。它包括一个跨数据源转换的中介级别，这样用户就可以提出一个查询，例如，对于患有精神分裂症的男性个体的扩散图像，并从参与的数据源中找出有多少数据集，以及下载成像和相关数据。当前版本处理跨不同研究的数据使用协议，以及将特定于数据库的术语解释为一个公共框架。新的数据存储库也可以通过中介实现对现有数据集的即时访问。与集中式上传数据共享模型相比，SchizConnect是一个独特的虚拟数据库，专注于精神分裂症和相关疾病，可以在每个数据源更新信息时调解实时数据。我们希望SchizConnect能够通过聚合的数据集促进测试新的假设，促进发现与精神分裂症功能障碍相关的机制。
SchizConnect (www.schizconnect.org) is built to address the issues of multiple data repositories in schizophrenia neuroimaging studies. It includes a level of mediation—translating across data sources—so that the user can place one query, e.g. for diffusion images from male individuals with schizophrenia, and find out from across participating data sources how many datasets there are, as well as downloading the imaging and related data. The current version handles the Data Usage Agreements across different studies, as well as interpreting database-specific terminologies into a common framework. New data repositories can also be mediated to bring immediate access to existing datasets. Compared with centralized, upload data sharing models, SchizConnect is a unique, virtual database with a focus on schizophrenia and related disorders that can mediate live data as information are being updated at each data source. It is our hope that SchizConnect can facilitate testing new hypotheses through aggregated datasets, promoting discovery related to the mechanisms underlying schizophrenic dysfunction.