使微神经生理学元数据与本地数据中心协调一致：一个概念。

Harmonizing Microneurography Metadata with Local Data Hubs: A Concept.

机构信息

Institute for Biomedical Informatics, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany.

Research Group Neuroscience, IZKF, Department of Neurophysiology, RWTH Aachen University, Aachen, Germany.

出版信息

Stud Health Technol Inform. 2024 Aug 22;316:358-359. doi: 10.3233/SHTI240420.

DOI:10.3233/SHTI240420

PMID:39176750

Abstract

This work aims to improve FAIR-ness of the microneurography research by integrating the local (meta)data to existing research data infrastructures. In the previous work, we developed an odML based solution for local metadata storage of microneurography data. However, this solution is limited to a narrow community. As a next step, we propose the integration into the Local Data Hubs, data-sharing services within NFDI4Health infrastructure. We outline a first concept, that streams chosen data from the established odMLtables GUI.

摘要

本工作旨在通过整合局部（元）数据来提高微神经生理学研究的 FAIR 性，将其整合到现有的研究数据基础设施中。在之前的工作中，我们开发了一个基于 odML 的解决方案，用于微神经生理学数据的局部元数据存储。然而，这个解决方案仅限于一个狭窄的社区。作为下一步，我们建议将其集成到 Local Data Hubs 中，这是 NFDI4Health 基础设施内的数据共享服务。我们概述了一个初步的概念，即从已建立的 odMLtables GUI 中流式传输选定的数据。