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让新冠病毒研究数据更易获取——构建全国性信息基础设施

[Making COVID-19 research data more accessible-building a nationwide information infrastructure].

作者信息

Schmidt Carsten Oliver, Fluck Juliane, Golebiewski Martin, Grabenhenrich Linus, Hahn Horst, Kirsten Toralf, Klammt Sebastian, Löbe Matthias, Sax Ulrich, Thun Sylvia, Pigeot Iris

机构信息

Institut für Community Medicine, Universitätsmedizin Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Deutschland.

ZB MED - Informationszentrum Lebenswissenschaften, Bonn, Deutschland.

出版信息

Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2021 Sep;64(9):1084-1092. doi: 10.1007/s00103-021-03386-x. Epub 2021 Jul 23.

Abstract

Public health research and epidemiological and clinical studies are necessary to understand the COVID-19 pandemic and to take appropriate action. Therefore, since early 2020, numerous research projects have also been initiated in Germany. However, due to the large amount of information, it is currently difficult to get an overview of the diverse research activities and their results. Based on the "Federated research data infrastructure for personal health data" (NFDI4Health) initiative, the "COVID-19 task force" is able to create easier access to SARS-CoV-2- and COVID-19-related clinical, epidemiological, and public health research data. Therefore, the so-called FAIR data principles (findable, accessible, interoperable, reusable) are taken into account and should allow an expedited communication of results. The most essential work of the task force includes the generation of a study portal with metadata, selected instruments, other study documents, and study results as well as a search engine for preprint publications. Additional contents include a concept for the linkage between research and routine data, a service for an enhanced practice of image data, and the application of a standardized analysis routine for harmonized quality assessment. This infrastructure, currently being established, will facilitate the findability and handling of German COVID-19 research. The developments initiated in the context of the NFDI4Health COVID-19 task force are reusable for further research topics, as the challenges addressed are generic for the findability of and the handling with research data.

摘要

开展公共卫生研究以及流行病学和临床研究对于了解新冠疫情并采取适当行动而言必不可少。因此,自2020年初以来,德国也启动了众多研究项目。然而,由于信息量巨大,目前很难对各种研究活动及其结果有一个全面的了解。基于“个人健康数据联邦研究数据基础设施”(NFDI4Health)倡议,“新冠疫情特别工作组”能够使人们更便捷地获取与严重急性呼吸综合征冠状病毒2(SARS-CoV-2)和新冠疫情相关的临床、流行病学及公共卫生研究数据。因此,所谓的FAIR数据原则(可查找、可访问、可互操作、可重用)得到了考虑,并且应该能够加快研究结果的交流。该特别工作组最重要的工作包括创建一个带有元数据、选定工具、其他研究文件和研究结果的研究门户,以及一个用于预印本出版物的搜索引擎。其他内容包括研究与常规数据之间的关联概念、一项用于加强图像数据实践的服务,以及应用标准化分析程序进行统一的质量评估。目前正在建立的这一基础设施将有助于德国新冠疫情研究成果的可查找性和处理。在NFDI4Health新冠疫情特别工作组背景下启动的这些进展对于进一步的研究课题是可重用的,因为所解决的挑战对于研究数据的可查找性和处理来说具有普遍性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef4/8416836/7715b73d5121/103_2021_3386_Fig1_HTML.jpg

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