Neuroinformatics Software Applications Supporting Electronic Data Capture, Management, and Sharing for the Neuroimaging Community.
Neuroinformatics Software Applications Supporting Electronic Data Capture, Management, and Sharing for the Neuroimaging Community.
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DOI：
10.1007/s11065-015-9293-x
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发表时间：
2015-09
影响因子：
5.8
通讯作者：
Pohl KM
中科院分区：
文献类型：
--
作者：
Nichols BN;Pohl KM
加快对大脑和行为之间关系的洞察需要进行小规模和大规模的研究努力，以获得可重现的结果。资助机构、出版商和研究界正在形成共识，即数据共享是确保所有此类努力促进数据重用和推动可重复发现的基本要求。越来越多的数据共享努力证明了信息技术如何能够实现有意义的数据再利用，这支持了供资机构和出版商共享数据的任务。神经信息学评估科学需求并开发解决方案，以促进认知科学和神经科学中数据的使用。例如，旨在促进人类神经认知研究的电子数据捕获和管理工具可以减少研究的建立时间，改进质量控制，并简化协调、管理和跨数据存储库共享数据的过程。在这篇文章中，我们概述了采用支持这些功能的软件应用程序的优势和劣势，方法是回顾可用的工具，然后在进行横断面和多点纵向研究的背景下展示两种截然不同的神经成像研究场景。
Accelerating insight into the relation between brain and behavior entails conducting small and large-scale research endeavors that lead to reproducible results. Consensus is emerging between funding agencies, publishers, and the research community that data sharing is a fundamental requirement to ensure all such endeavors foster data reuse and fuel reproducible discoveries. Funding agency and publisher mandates to share data are bolstered by a growing number of data sharing efforts that demonstrate how information technologies can enable meaningful data reuse. Neuroinformatics evaluates scientific needs and develops solutions to facilitate the use of data across the cognitive and neurosciences. For example, electronic data capture and management tools designed to facilitate human neurocognitive research can decrease the setup time of studies, improve quality control, and streamline the process of harmonizing, curating, and sharing data across data repositories. In this article we outline the advantages and disadvantages of adopting software applications that support these features by reviewing the tools available and then presenting two contrasting neuroimaging study scenarios in the context of conducting a cross-sectional and a multisite longitudinal study.