英国纵向联动协作:一个值得信赖的研究环境,为纵向研究社区

Andy Boyd, Robin Flaig, Jacqui Oakley, Kirsteen Campbell, Katharine Evans, Stela McLachlan, Richard Thomas, Emma Turner
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引用次数: 0

摘要

我们的可信研究环境(TRE)提供了一个集中的基础设施来汇集纵向人口研究(LPS)数据,并系统地将参与者的日常健康、行政和环境记录联系起来。所有数据都保存在一个集中的研究资源中,该资源现已被英国统计局认证为符合“数字经济法”标准。我们创建了一个前所未有的基础设施,整合了跨学科和泛英国LPS的数据,这些数据与参与者的NHS英格兰记录相关联,并具有授权访问责任。在功能匿名的DEA和ISO 27001认证的TRE中,集成和整理的数据可用于汇总分析。我们与LPS数据管理人员和公众/参与者贡献者一起开发了定制的治理和数据管理框架。正在与ADRUK和国家统计局的合作伙伴建立新的数据管道,以连接非健康记录。我们的设计支持长期可持续性、链接准确性以及在个人和家庭层面链接数据的能力。 结果该组织由24家LPS合作,参与者约28万人。参与者的数据与NHS记录和地理编码的环境暴露相关联。这个资源现在可以为真正的英国研究人员提供公共利益研究。包括税收、工作和养老金、教育在内的行政数据也被添加到资源中。此数据流通过以下方式实现:(1)TTP处理许多不同数据所有者的参与者标识符的模型;(2)建立新的纵向数据管道,使记录能够随着时间的推移进行链接、数据提取和更新;(3)一个访问框架,其中关联数据访问小组代表数据所有者(例如,NHS)考虑申请,由公共小组审查,并将申请分发给LPS以批准适当的数据使用。 我们的组织为纵向研究提供了一个战略性的研究准备平台。我们正在扩展LPS参与者与以前无法访问的数据集的联系。该研究资源的定位是使研究人员能够调查跨领域主题,如理解健康和社会不平等、健康-社会-环境相互作用以及管理COVID-19的恢复。
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The UK Longitudinal Linkage Collaboration: A trusted research environment for the longitudinal research community
ObjectivesOur Trusted Research Environment (TRE) provides a centralised infrastructure to pool Longitudinal Population Studies’ (LPS) data and systematically link participants’ routine health, administrative and environmental records. All data are held in a centralised research resource which is now certified by UK Statistics Authority as meeting the Digital Economy Act standard. ApproachWe have created an unprecedented infrastructure integrating data from interdisciplinary and pan-UK LPS linked to participants’ NHS England records with delegated access responsibilities. Integrated and curated data are made available for pooled analysis within a functionally anonymous DEA and ISO 27001 accredited TRE. We developed a bespoke governance and data curation framework with LPS data managers and Public/participant contributors. New data pipelines are being built with partners at ADRUK and the Office of National Statistics to link non-health records. Our design supports long-term sustainability, linkage accuracy and the ability to link data at both an individual and household level. ResultsThis organisation is a collaboration of >24 LPS with ~280,000 participants. Participants' data are linked to NHS records and geo-coded environmental exposures. This resource is now accessible for public benefit research for bona fide UK researchers. Administrative data including tax, work and pensions, and education are being added to the resource. This data flow is enabled by: (1) a model where TTP processes participant identifiers for many different data owners; (2) creation of a novel longitudinal data pipeline, enabling linkage, data extraction and update of records over time; (3) an access framework where Linked Data Access Panel considers applications on behalf of data owners (e.g., the NHS), with review by a Public Panel and distributing applications to LPS for approval of appropriate data use. ConclusionOur organisation provides a strategic research-ready platform for longitudinal research. We are extending linkages of LPS participants to previously inaccessible datasets. The research resource is positioned to allow researchers to investigate cross-cutting themes such as understanding health and social inequalities, health-social-environmental interactions, and managing the COVID-19 recovery.
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