Data Publication for Personalised Health Data A New Publication Standard Introduced by NFDI4Health

Juliane Fluck, Martin Golebiewski, Johannes Darms
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Abstract

Health data collected in clinical trials and epidemiological as well as public health studies cannot be freely published, but are valuable datasets whose subsequent use is of high importance for health research. The National Research Data Infrastructure for Personal Health Data (NFDI4Health) aims to promote the publication of such health data without compromising privacy. Based on existing international standards, NFDI4Health has established a generic information model for the description and preservation of high-level metadata describing health-related studies, covering both clinical and epidemiological studies. As an infrastructure for publishing such preservation metadata as well as more detailed representation information of study data (e.g. questionaries and data dictionaries), NFDI4Health has developed the German Central Health Study Hub. Content is either harvested from existing distributed sources or entered directly via a user interface. This metadata makes health studies more discoverable, and researchers can use the published metadata to evaluate the content of data collections, learn about access conditions and how and where to request data access. The goal of NFDI4Health is to establish interoperable and internationally accepted standards and processes for the publication of health data sets to make health data FAIR.
个性化健康数据的数据发布NFDI4Health引入的新发布标准
在临床试验和流行病学以及公共卫生研究中收集的卫生数据不能自由发表,但却是宝贵的数据集,其后续使用对卫生研究非常重要。国家个人健康数据研究数据基础设施(NFDI4Health)旨在促进在不损害隐私的情况下公布此类健康数据。根据现有的国际标准,NFDI4Health建立了一个通用信息模型,用于描述和保存描述与健康有关的研究的高级元数据,涵盖临床和流行病学研究。作为发布此类保存元数据以及更详细的研究数据表示信息(例如调查问卷和数据字典)的基础设施,NFDI4Health开发了德国中央健康研究中心。内容要么从现有的分布式资源中获取,要么直接通过用户界面输入。这种元数据使卫生研究更容易被发现,研究人员可以使用已发布的元数据来评估数据收集的内容,了解访问条件以及如何以及在何处请求访问数据。NFDI4Health的目标是为卫生数据集的出版建立可互操作和国际接受的标准和程序,使卫生数据公平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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