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Administrative Data Research UK - AD ARC Phase 2

Administrative Data Research UK - AD ARC Phase 2
英国行政数据研究 - AD ARC 第 2 阶段
批准号:
ES/XX00069/1
负责人:
Paul Caskie
金额:
$46.92万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
ADR UK(英国行政数据研究)是一个合作伙伴关系,改变了研究人员访问英国丰富的公共部门数据的方式,使人们能够更好地了解政策决策,改善人们的生活。通过将政府不同部门持有的数据连接在一起,并通过促进认可的研究人员安全可靠地访问这些新加入的数据集,ADR UK正在创建一个关于我们的社会和经济如何运作的可持续知识体系-量身定制,为决策者提供解决重要政策问题所需的答案。ADR UK由三个国家合作伙伴组成(ADR苏格兰,ADR威尔士和ADR NI)和国家统计局(ONS),确保研究人员以安全可靠的形式访问英国政府机构提供的数据,并将数据持有者或公众的风险降至最低。该伙伴关系由全英国战略中心协调,它还向公众和更广泛的研究界宣传行政数据研究的好处,与英国政府合作以确保数据的访问,并管理专门的研究预算。ADR UK由经济和社会研究理事会(ESRC)资助,是英国研究和创新的一部分。要了解更多信息,请访问adruk.org或在Twitter上关注@ADR_UK。对于英格兰,北爱尔兰,苏格兰和威尔士,农业为农村经济做出了重大贡献,巩固了人口稀少地区的社会凝聚力,是塑造景观的最大单一影响力,并对敏感的自然栖息地和更广泛的环境产生多重影响。|ARC已经在学术界和政府之间建立了合作伙伴关系,使用关联的去识别数据创建了第一个以农业家庭为重点的英国范围内的数据收集。在第二阶段,该团队正在使用ADR UK资金,以第一阶段的成功为基础,更新和扩展英格兰,苏格兰和威尔士的数据资源。在可能的情况下,第二阶段将更新每个现有的数据集,并增加牛结核病数据、土地利用和洪水的空间数据以及其他经济数据,从而能够基于更新的数据进行更深入的分析,扩大范围,提高纵向研究的能力。数据资源将在每个国家单独建立,但目标是充分互补,以便在联合王国一级进行分析。与此同时,该项目将与北方爱尔兰合作,在2011年CARS的基础上制定2021年CARS。ADR英格兰第二阶段资金还将允许提供有限的战略研究工作计划,分析数据,以进一步了解英国农业,包括农户的结构和特征,农民的持续专业发展和教育,和土地使用。
英文摘要
ADR UK (Administrative Data Research UK) is a partnership transforming the way researchers access the UK’s wealth of public sector data, to enable better informed policy decisions that improve people’s lives.By linking together data held by different parts of government, and by facilitating safe and secure access for accredited researchers to these newly joined-up data sets, ADR UK is creating a sustainable body of knowledge about how our society and economy function – tailored to give decision makers the answers they need to solve important policy questions.ADR UK is made up of three national partnerships (ADR Scotland, ADR Wales, and ADR NI) and the Office for National Statistics (ONS), which ensures data provided by UK government bodies is accessed by researchers in a safe and secure form with minimal risk to data holders or the public.The partnership is coordinated by a UK-wide Strategic Hub, which also promotes the benefits of administrative data research to the public and the wider research community, engages with UK government to secure access to data, and manages a dedicated research budget.ADR UK is funded by the Economic and Social Research Council (ESRC), part of UK Research and Innovation.To find out more, visit adruk.org or follow @ADR_UK on Twitter.For England, NI, Scotland and Wales, farming contributes significantly to the rural economy, underpins social cohesion in sparsely populated areas, is the single biggest influence shaping the landscape, and has multiple impacts on sensitive natural habitats and the wider environment.During its Phase 1, AD|ARC has established partnerships between academics and government to used linked de-identified data to create the first UK-wide data collection focussed on agricultural households.In Phase 2, the team is using ADR UK funding to build on the success of Phase 1 to update and expand the data resources in England, Scotland and Wales. Where possible, Phase 2 will update each existing dataset as well as adding data on Bovine TB, spatial data on land use and flooding, and additional economic data, enabling more in-depth analysis based on more recent data, a wider scope, and increased capacity for longitudinal study. The data resources will be built separately in each country but will aim to be sufficiently complementary to allow analysis at the UK level. In parallel, the project will work with Northern Ireland to develop a 2021 CARS to build on the 2011 CARS.ADR England Phase 2 funding would also allow the delivery of a limited Strategic Research work programme, analysing the data to give further insights into agriculture in the UK, including the structure and characteristics of farming households, the Continued Professional Development and education of farmers, and land use.
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Administrative Data Research UK - AD ARC
  • 批准号:
    ES/XX00016/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $76.12万
  • 财政年份:
    2020
  • 负责人:
    Paul Caskie
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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:
    --
  • 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:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: