odML-Tables 作为显微神经影像学的元数据标准。

Q3 Health Professions

Studies in Health Technology and Informatics Pub Date : 2023-09-12 DOI:10.3233/SHTI230687

Alina Troglio, Aidan Nickerson, Fabian Schlebusch, Rainer Röhrig, James Dunham, Barbara Namer, Ekaterina Kutafina

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引用次数: 0

摘要

元数据对于按照 FAIR 原则处理医疗数据至关重要。许多类型的电生理方法都有完善的标准，但人体外周感觉神经纤维的微神经记录仍缺乏标准。开发一种新概念来改进实验室工作流程是一个复杂的过程。我们提出了一种基于 odML 和 odML 表的微神经图元数据结构和存储标准。此外，我们还对 odML-tables GUI 进行了扩展，使数据库具有用户友好的搜索功能。通过我们的开源资源库，我们鼓励其他微影实验室将基于 odML 的元数据纳入他们的实验程序。

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odML-Tables as a Metadata Standard in Microneurography.

Metadata is essential for handling medical data according to FAIR principles. Standards are well-established for many types of electrophysiological methods but are still lacking for microneurographic recordings of peripheral sensory nerve fibers in humans. Developing a new concept to enhance laboratory workflows is a complex process. We propose a standard for structuring and storing microneurography metadata based on odML and odML-tables. Further, we present an extension to the odML-tables GUI that enables user-friendly search functionality of the database. With our open-source repository, we encourage other microneurography labs to incorporate odML-based metadata into their experimental routines.

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来源期刊

Studies in Health Technology and Informatics Health Professions-Health Information Management

CiteScore

1.20

自引率

0.00%

发文量

1463

期刊介绍： This book series was started in 1990 to promote research conducted under the auspices of the EC programmes’ Advanced Informatics in Medicine (AIM) and Biomedical and Health Research (BHR) bioengineering branch. A driving aspect of international health informatics is that telecommunication technology, rehabilitative technology, intelligent home technology and many other components are moving together and form one integrated world of information and communication media.