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LONGITUDINAL ADMINISTRATIVE DATA SPINE SCOPING PROJECT GRANT FOR THE SPF UK POPULATION LAB WAVE I

LONGITUDINAL ADMINISTRATIVE DATA SPINE SCOPING PROJECT GRANT FOR THE SPF UK POPULATION LAB WAVE I
为 SPF 英国人口实验室第一波纵向管理数据脊柱范围界定项目拨款
批准号:
ES/S016732/1
负责人:
Andy Boyd
金额:
$30.19万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --

项目摘要

项目成果

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中文摘要
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英文摘要
This project will gather evidence to inform the development of longitudinal research data resources and to respond to core recommendations from the 2017 UK Economic and Social Research Council's (ESRC) Longitudinal Studies Review. The UK has a long history of running longitudinal population studies, where members of the public are invited to take part in research based on a set of characteristics (e.g. they were all born in the same week). Researchers then follow-up on these people's health and wellbeing over time with the aim of understanding why people's health, development and life outcomes differ, and how we can improve health and social systems to further the public good. New data science opportunities and increasing digitisation of routinely collected health and social data mean there are new opportunities to improve this type of research and new opportunities to improve the public good.This project will gather evidence to support ESRC and Health Data Research UK (HDRUK) in assessing the feasibility and potential value of a longitudinal Administrative Data Spine (ADS). An ADS can be summarised as a register containing a record of every member of the UK population, their contact details and which has been enhanced with key health and social information (such as health status, age, sex, household and neighbourhood characteristics, social and economic status). This ADS could be a research tool to:1) select and invite members of the public into new longitudinal research studies. When doing this it is important that those invited are representative of the wider population so everyones circumstances can be studied and everyone - including the vulnerable or disadvantaged - can benefit from the improvements that longitudinal research can bring; 2) understand if existing studies represent the wider population so that policy makers can understand how to interpret study findings when designing policies; and to understand if the way in which recruitment to the study, people stopping taking part in the study, or if data quality issues have introduced error or bias into study findings and to inform statistical methods that can be used to control for bias or impaired representation; 3) link to study participants routinely generated records (e.g. their health, education, benefits, employment, criminality records) in order to collect new data for research which may be more accurate, or very technical; 4) understand the operational and scientific opportunities and to control the scientific challenges where people in UK longitudinal research take part in more than one study (2 to 3 million UK citizens are take part in longitudinal studies).5) the ADS could also be useful to run 'population data laboratory' research designs, where longitudinal studies are used in research based on local, regional or national databases of people's records. This type of research brings the benefits of longitudinal records (detailed data and biosamples provided by people directly over time) coupled with the benefits of routine records (records which capture information on health events or the use of government services over time);An ADS would need to be constructed from diverse sources, including those held by government departments, the Office for National Statistics and the NHS. It is anticipated that some of this information will be held at a UK level; some at a devolved administration level; and others at a local/city/regional level. This projects, and other projects running at the same time, aim to gather the views and experience of academic researchers, health professionals, government officials and importantly the public on what such a research resource could do, how it should be constructed and what measures would need to be put in place to allow it to operate with the support of data owners and the public.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
Participant acceptability of 'digital footprint' data collection strategies: evidence from the ALSPAC birth cohort study.
参与者对“数字足迹”数据收集策略的接受度:来自 ALSPAC 出生队列研究的证据。
DOI: --
发表时间: 2019
期刊:
影响因子: --
作者: [Boyd A]
通讯作者: Boyd A
The Bristol Self Harm Register (BSHR) dataset: Linked self-harm register records of the children in the Avon Longitudinal Study of Parents and Children (ALSPAC)
布里斯托尔自我伤害登记册 (BSHR) 数据集:雅芳家长和儿童纵向研究 (ALSPAC) 中儿童的链接自残登记记录
DOI: 10.12688/wellcomeopenres.17724.2
发表时间: 2023
期刊: Wellcome Open Research
影响因子: --
作者: [Mummé M]
通讯作者: Mummé M
Health and Care Intelligence: A Blueprint for Data Access
健康与护理智能:数据访问蓝图
DOI: --
发表时间: 2019
期刊:
影响因子: --
作者: [Tuckett A]
通讯作者: Tuckett A
Understanding Population Data for Inclusive Longitudinal Research
了解人口数据以进行包容性纵向研究
DOI: --
发表时间: 2022
期刊:
影响因子: --
作者: [Boyd A]
通讯作者: Boyd 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:
Consolidating the UK Longitudinal Linkage Collaboration for the longitudinal research community.
  • 批准号:
    ES/X000567/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $120.9万
  • 财政年份:
    2022
  • 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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