Mackenzie-Graham Allan J, Van Horn John D, Woods Roger P, Crawford Karen L, Toga Arthur W
Laboratory of Neuro Imaging (LONI), Department of Neurology, University of California Los Angeles School of Medicine, 635 Charles E. Young Drive South, Suite 225, Los Angeles, CA 90095-7334, USA.
Neuroimage. 2008 Aug 1;42(1):178-95. doi: 10.1016/j.neuroimage.2008.04.186. Epub 2008 Apr 25.
Provenance, the description of the history of a set of data, has grown more important with the proliferation of research consortia-related efforts in neuroimaging. Knowledge about the origin and history of an image is crucial for establishing data and results quality; detailed information about how it was processed, including the specific software routines and operating systems that were used, is necessary for proper interpretation, high fidelity replication and re-use. We have drafted a mechanism for describing provenance in a simple and easy to use environment, alleviating the burden of documentation from the user while still providing a rich description of an image's provenance. This combination of ease of use and highly descriptive metadata should greatly facilitate the collection of provenance and subsequent sharing of data.
溯源,即对一组数据历史的描述,随着神经成像领域与研究联盟相关工作的激增而变得愈发重要。关于图像的起源和历史的知识对于确定数据和结果质量至关重要;关于其处理方式的详细信息,包括所使用的特定软件程序和操作系统,对于正确解读、高保真复制和再利用是必要的。我们已经起草了一种在简单易用的环境中描述溯源的机制,减轻了用户的文档记录负担,同时仍能对图像溯源进行丰富的描述。这种易用性与高度描述性元数据的结合应能极大地促进溯源信息的收集以及后续的数据共享。