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首页> 外文期刊>International Journal of Digital Curation >Meeting Curation Challenges in a Neuroimaging Group
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Meeting Curation Challenges in a Neuroimaging Group

机译:应对神经影像小组的策展挑战

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The SCARP project is a series of short studies with two aims; firstly to discover more about disciplinary approaches and attitudes to digital curation through a€?immersiona€? in selected cases; secondly to apply known good practice, and where possible, identify new lessons from practice in the selected discipline areas. The study summarised here is of the Neuroimaging Group in the University of Edinburgha€?s Division of Psychiatry, which plays a leading role in eScience collaborations to improve the infrastructure for neuroimaging data integration and reuse. The Group also aims to address growing data storage and curation needs, given the capabilities afforded by new infrastructure. The study briefly reviews the policy context and current challenges to data integration and sharing in the neuroimaging field. It then describes how curation and preservation risks and opportunities for change were identified throughout the curation lifecycle; and their context appreciated through field study in the research site. The results are consistent with studies of neuroimaging eInfrastructure that emphasise the role of local data sharing and reuse practices. These sustain mutual awareness of datasets and experimental protocols through sharing peer to peer, and among senior researchers and students, enabling continuity in research and flexibility in project work. This a€?human infrastructurea€? is taken into account in considering next steps for curation and preservation of the Groupa€?s datasets and a phased approach to supporting data documentation.
机译:SCARP项目是一系列短期研究,目的有两个:首先,通过沉浸式学习更多地了解纪律方法和数字策展的态度。在某些情况下;其次,应用已知的良好实践,并在可能的情况下,从选定学科领域的实践中吸取新的教训。此处总结的研究是爱丁堡大学精神病学系神经影像小组的成员,该小组在电子科学合作以改善神经影像数据集成和重用基础结构方面发挥着领导作用。鉴于新基础架构提供的功能,该集团还致力于满足不断增长的数据存储和管理需求。该研究简要回顾了政策背景以及神经影像领域数据集成和共享的当前挑战。然后描述了在整个策展生命周期中如何确定策展和保存风险以及变革机会;通过研究现场的实地考察,了解了他们的背景。结果与神经影像电子基础设施的研究一致,后者强调了本地数据共享和重用实践的作用。通过在对等方之间以及在高级研究人员和学生之间共享,它们可以保持对数据集和实验协议的相互了解,从而实现研究的连续性和项目工作的灵活性。这是一种“人力基础设施”。在考虑整理和保存Groupa数据集的后续步骤以及采用分阶段方法来支持数据文档时要考虑到这一点。

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