The COVID - Curated and Open aNalysis aNd rEsearCh plaTform (CO-CONNECT).

IF 1.6 Q3 HEALTH CARE SCIENCES & SERVICES
E. Jefferson, Aziz Sheik, S. Hopkins, P. Quinlan
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引用次数: 0

Abstract

ObjectivesCO-CONNECT is making UK COVID-19 data Findable, Accessible, Interoperable and Reusable (FAIR) through a federated platform, which supports secure, anonymised research at scale and pace. This interdisciplinary project, spanning 22 organisations, is connecting data from >50 large research cohorts and data collected through routine healthcare provision across the UK. ApproachAcross the UK, data has been collected that can help us answer key questions about COVID-19. As the data are in many places with many different processes it is difficult and complex for public health groups, researchers, policymakers, and government to find and access lots of high-quality data quickly and efficiently to make decisions. In collaboration with Health Data Research UK, CO-CONNECT is streamlining processes of accessing data for research. Results1) Discovering data and meta-analysis: CO-CONNECT enables researchers to determine how many people meet their research criteria within the various datasets across the UK through the Health Data Research Innovation Gateway Cohort Discovery tool e.g. “How many people in each dataset have had a PCR test which was positive and were under the age of 40?” Only summary level, anonymous data are provided so researchers can answer such questions rapidly without requiring multiple data governance permissions and directly contacting each data source. The tool also supports aggregate level meta-analysis of the data. 2) Detailed analysis: With data governance approvals, researchers can analyse detailed level, standardised, linked, pseudonymised data in a Trusted Research Environment. The common format reduces the effort on each research project, supporting rapid research. ConclusionProviding data in this de-identifiable, safe way enables rapid, robust research e.g., COVID-19 results from a test centre can be linked to hospital records along with prescriptions from pharmacies enabling researchers to understand whether people with different existing health conditions are more or less susceptible to COVID-19. If you want to know more visit https://co-connect.ac.uk.
新冠肺炎治愈和开放性aNalysis and rESERCH平台(COCONNECT)。
目的CO-CONECT通过一个联合平台使英国新冠肺炎数据可查找、可访问、可互操作和可重复使用(FAIR),该平台支持大规模和快速的安全匿名研究。这个跨学科项目横跨22个组织,将50多个大型研究群体的数据与通过英国常规医疗服务收集的数据联系起来。方法在英国各地收集的数据可以帮助我们回答有关新冠肺炎的关键问题。由于数据分布在许多地方,有许多不同的过程,公共卫生组织、研究人员、政策制定者和政府很难快速高效地找到和访问大量高质量的数据来做出决策。COCONNECT与英国健康数据研究所合作,正在简化访问研究数据的流程。结果1)发现数据和荟萃分析:COCONNECT使研究人员能够通过健康数据研究创新网关队列发现工具确定英国各地不同数据集中有多少人符合他们的研究标准,例如“每个数据集中有几个人的PCR检测呈阳性且年龄在40岁以下?”,提供了匿名数据,这样研究人员就可以快速回答这些问题,而不需要多个数据治理权限,也不需要直接联系每个数据源。该工具还支持数据的聚合级荟萃分析。2)详细分析:通过数据治理批准,研究人员可以在可信的研究环境中分析详细的、标准化的、链接的、假名化的数据。通用格式减少了每个研究项目的工作量,支持快速研究。结论以这种无法识别、安全的方式提供数据,可以进行快速、有力的研究,例如,检测中心的新冠肺炎结果可以与医院记录以及药店的处方联系起来,使研究人员能够了解不同现有健康状况的人是否或多或少容易感染新冠肺炎。如果您想了解更多信息,请访问https://co-connect.ac.uk.
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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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
386
审稿时长
20 weeks
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