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Administrative Data Research Centre, England (ADRCE)

Administrative Data Research Centre, England (ADRCE)
英国行政数据研究中心 (ADRCE)
批准号:
ES/L007517/1
负责人:
Peter Smith
金额:
$1744.87万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --

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中文摘要
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英文摘要
Our vision is to transform the way that administrative data, routinely collected by government departments and other agencies, are converted into knowledge and evidence for public and economic policy. Improved access to, and use of these data, will ensure we can tackle some of the major issues facing society, innovatively and efficiently. This will be achieved by safely managing and maximising the use of new data linkages across sectors and government departments, and working across academic disciplines. This will create new evidence to guide development, implementation and evaluation of public policy and future research, as well as new methods to link and analyse data. We aim to develop new linked data resources, provide access to these data, ensure it is used safely and effectively, and develop research capacity. Our programme is based around seven integrated aims:1) State of the Art Facilities: will allow access to administrative data by accredited researchers. We will strictly manage the data and researchers who are allowed to access the data, to prevent the identification of individuals. These new facilities will combine exceptional physical facilities with high performance computer systems, database management systems and advanced data analysis and statistical tools.2) Data management and statistical analysis support: will allow external researchers to securely access the data. We will build our expertise to include providing access to and support analysis of linked data as these new resources are developed. We will work with the Administrative Data Service (ADS) to upgrade our existing secure IT facilities in line with the required standards.3) New Data Resources: We will link administrative data sets from across different services and government departments and make them accessible for research. These new resources will be relevant for developing policy and services. At the same time we will work with the ADS to begin more ambitious linkage projects, and work in collaboration with partner organisations to link data, and develop and test different approaches to do this.4) Original Research: We will develop a variety of new methods that enhance the use of administrative data for policy-focussed research. Key research in the first 2 years of the Centre include: methods of linking data; data quality; and policy-focussed research. A Scientific Panel of expert researchers will drive forward our research plans. Each of these researchers will lead a specific research project, which will form a rolling programme of two-year projects. The panel will also review and provide guidance on other proposed projects.5) Training and capacity building: will increase and improve the use of administrative data by researchers (at all career stages) across social and biomedical sciences (from universities, government departments, third and private sectors). We will offer short training courses, workshops and seminars, online material, six PhD studentships, internships, and a network of national and international experts. This will deliver both the necessary safe researcher training, and improve their skills to take advantage of the opportunities provided by new linked data.6) Collaboration with the ADRN: We will provide a range of tools and a forum for working closely with our key partners ADS, ESRC and the Office for National Statistics (ONS), as well as other who will benefit from this work. We will work to standardise datasets across the UK and beyond to allow national and international comparisons. We will develop our established links with government departments, data providers and Trusted Third Parties, and a range of organisations managing cohorts and surveys. 7) Public Engagement: We will engage with the public about linking administrative data. A Communications & Engagement Officer will lead activities in this area, and we have further dedicated staff working on legal and policy development.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1093/eurheartj/ehu263
发表时间: 2015-04-21
期刊: European heart journal
影响因子: 39.3
作者: [Brauer R, Smeeth L, Anaya-Izquierdo K, Timmis A, Denaxas SC, Farrington CP, Whitaker H, Hemingway H, Douglas I]
通讯作者: Douglas I
Machine learning for phenotyping and risk prediction in cardiovascular diseases: a systematic review
用于心血管疾病表型分析和风险预测的机器学习:系统评价
DOI: --
发表时间: 2019
期刊: EUROPEAN HEART JOURNAL
影响因子: 39.3
作者: [Banerjee A.]
通讯作者: Banerjee A.
DOI: 10.1177/0002716217703969
发表时间: 2017
期刊: The ANNALS of the American Academy of Political and Social Science
影响因子: --
作者: [Chapman B]
通讯作者: Chapman B
DOI: 10.12688/wellcomeopenres.15151.1
发表时间: 2019-01-01
期刊: Wellcome open research
影响因子: --
作者: [Aldridge, Robert W, Menezes, Dee, Hayward, Andrew]
通讯作者: Hayward, Andrew
7
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      NE/V003240/1
    • 项目类别:
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    • 负责人:
      Peter Smith
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      NE/T012277/1
    • 项目类别:
      Research Grant
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    • 财政年份:
      2019
    • 负责人:
      Peter Smith
    • 依托单位:
    国内基金
    海外基金
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    Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
    Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
    • 批准号:
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    • 项目类别:
      --
    • 资助金额:
      40万元
    • 批准年份:
      2020
    • 负责人:
      Vikrant Gupta
    • 依托单位:
    基于Linked Open Data的Web服务语义互操作关键技术
    • 批准号:
      61373035
    • 项目类别:
      面上项目
    • 资助金额:
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    • 批准年份:
      2013
    • 负责人:
      冯志勇
    • 依托单位: