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Consolidating the UK Longitudinal Linkage Collaboration for the longitudinal research community.

Consolidating the UK Longitudinal Linkage Collaboration for the longitudinal research community.
巩固英国纵向研究界的纵向联系合作。
批准号:
ES/X000567/1
负责人:
Andy Boyd
金额:
$120.9万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
The UK Longitudinal Linkage Collaboration (UK LLC) is a research resource providing a 'Trusted Research Environment' (TRE) that enables safe, secure and privacy-protecting analyses of longitudinal research data. UK LLC contains data on many aspects of the lives of more than 200,000 volunteer participants in 20+ Longitudinal Population Studies (LPS). These are studies measuring volunteers' social and economic circumstances, health, development and wellbeing, and changes in these, over time. By bringing this data together with their NHS records, the UK LLC is facilitating research that meets the needs of all our communities across the UK, improving lives by better understanding determinants of health, and informing improvements to public health policy and services.Purpose: Through the UK LLC we hope to find out more about how we can improve people's lives than was possible before this way of working was set up. We are now up and running: hosting study data provided by research volunteers linked with their NHS data and data about the environment we live in. Approved researchers within the LHW have started their analyses.We seek funding to extend the scope of this innovative resource, making it a long-term solution that supports studies and helps researchers answer important research questions and help improve the lives of people across the UK. We want to enhance the resource by adding earnings, employment, benefit and education records. Availability of a wide variety of linked data available through a single application will enable researchers to conduct better investigations of interactions between health, society and the environment, address government research priorities and more efficiently respond to the UK's emerging economic, social and health needs.Objectives: It is essential that we further develop the UK LLC and build on our core function as a high-quality 'research-ready' scientific resource. We will deliver our proposal through our skilled data management, operational management and governance teams with expert executive and governance structures in place. We will:- Expand the UK LLC beyond COVID-19 research to benefit all; working with studies and the public to ensure this is done safely and transparently- Maximise available linked data by linking employment, benefits and education records- Develop supporting guides and documentation for approved researchers- Create a library of the tools (eg, software code) and methods developed by UK LLC staff and researchers using the TRE, to allow future users to check and re-use them- Widen visibility and access to data using the 'five safes' application approach with public input and in line with FAIR data principles (making data Findable, Accessible, Interoperable and Reusable).- Support studies and the research community to work effectively together.We also propose expansion of our public involvement model by piloting a novel 'Citizen Panel', a concept developed by Understanding Patient Data. This pilot will establish a dialogue between the data community and wider public that ensures good governance and enhances mutual learning.These enhancements will be in addition to our core function, funded through the NCS programme.Benefits: Research is facilitated by diverse data because our society, and health and wellbeing issues, are also diverse. Bringing this data together will help us understand more about health, social and environmental inequalities and regional differences and opportunities across the four nations.By increasing the number of public contributors we interact with we will inform wider efforts to build confidence in this way of working with data that will prove beneficial to the public and wider research community.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1136/bmj-2023-075133
发表时间: 2023-07-19
期刊: BMJ-BRITISH MEDICAL JOURNAL
影响因子: 105.7
作者: [Green, Mark A., McKee, Martin, Hamilton, Olivia K. L., Shaw, Richard J., Macleod, John, Boyd, Andy, Katikireddi, Srinivasa Vittal]
通讯作者: Katikireddi, Srinivasa Vittal
Associations between SARS-CoV-2 infection and subsequent economic inactivity and employment status: pooled analyses of five linked longitudinal surveys.
SARS-CoV-2 感染与随后的经济不活动和就业状况之间的关联:五项相关纵向调查的汇总分析。
DOI: 10.1101/2023.07.31.23293422
发表时间: 2023
期刊: medRxiv : the preprint server for health sciences
影响因子: --
作者: [Shaw,RichardJ, Rhead,Rebecca, Silverwood,RichardJ, Wels,Jacques, Zhu,Jingmin, Hamilton,OliviaKl, Gessa,GiorgioDi, Bowyer,RuthCe, Moltrecht,Bettina, Green,MichaelJ, Demou,Evangelia, Pattaro,Serena, Zaninotto,Paola, Boyd,Andy, Greaves,F]
通讯作者: Greaves,F
The long COVID evidence gap: comparing self-reporting and clinical coding of long COVID using longitudinal study data linked to healthcare records
长期新冠病毒证据缺口:使用与医疗记录相关的纵向研究数据来比较长期新冠病毒的自我报告和临床编码
DOI: 10.1101/2023.02.10.23285717
发表时间: 2023
期刊:
影响因子: --
作者: [Knuppel A]
通讯作者: Knuppel A
Infrastructure and Services - Trust and Transparency
  • 批准号:
    HDR-23003
  • 项目类别:
    Intramural
  • 资助金额:
    $737.92万
  • 财政年份:
    2023
  • 负责人:
    Andy Boyd
  • 依托单位:
UK Longitudinal Linkage Collaboration: the transformative Trusted Research Environment for the UK longitudinal research community
  • 批准号:
    MR/X021556/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $844.93万
  • 财政年份:
    2023
  • 负责人:
    Andy Boyd
  • 依托单位:
LONGITUDINAL ADMINISTRATIVE DATA SPINE SCOPING PROJECT GRANT FOR THE SPF UK POPULATION LAB WAVE I
  • 批准号:
    ES/S016732/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $30.19万
  • 财政年份:
    2018
  • 负责人:
    Andy Boyd
  • 依托单位:
Enhancing Environmental data Resources In Cohort studies: ALSPAC exemplar (ERICA)
  • 批准号:
    NE/P010830/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $12.63万
  • 财政年份:
    2016
  • 负责人:
    Andy Boyd
  • 依托单位:
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  • 项目类别:
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  • 资助金额:
    10.0万元
  • 批准年份:
    2025
  • 负责人:
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  • 批准号:
    31970054
  • 项目类别:
    面上项目
  • 资助金额:
    62.0万元
  • 批准年份:
    2019
  • 负责人:
    瞿旭东
  • 依托单位: