Administrative Data Research Centres 2018
Administrative Data Research Centres 2018
批准号:
ES/S00744X/1
负责人:
Dermot O'Reilly
金额:
$473.12万
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 --
中文摘要
通过更好地利用现有的数据和将不同的数据集连接在一起,我们有很大的潜力更多地了解我们的社会。使用现有数据不仅比收集新数据效率高、成本低,而且还可以提供一种强有力的手段,用以考虑需要采取什么行动来解决广泛的社会问题,指导政府政策的制定、执行和评估。要做到这一点,就必须确保公众对其数据得到适当使用有最大的信心,并确保这些数据的保护措施符合最高的国际标准,北方爱尔兰的行政数据研究中心由两所大学和地方政府统计机构NISRA组成。在过去的五年中,与政府机构和志愿者和社区部门合作,扩大了对北方爱尔兰行政数据集的访问,使我们能够开展一系列研究项目,为政府和公共服务提供信息。我们还大大增加了学术界和政府中能够管理和分析开展此类研究所需的大型复杂数据集的研究人员数量。虽然我们的ADRC在未来30个月的主要目标将是保持不同公众对使用行政数据进行研究的信心,但我们的新重点将是加强我们的工作,促进北爱尔兰政府和整个英国政府对增加访问和使用行政数据的承诺。这将有助于我们最大限度地发挥行政数据的潜力,使其成为循证决策和评估的丰富资源。我们在这一短时期内的重点将是快速交付对数据保管人至关重要的有针对性的、高影响力的研究相关活动。为此,我们将扩大可用和可访问的管理数据的使用范围。重要的是,我们将通过更有针对性的知识交流活动,继续加强我们的研究组合的影响。在与NISRA合作伙伴的合作中,我们将与数据保管人合作,确保我们在政策流程周期中考虑到他们的优先事项,并且我们在此期间的研究活动集中在及时实现NI政府目标上。我们还将在北爱尔兰和英国开展一系列世界级的研究项目,迅速向各自的数据所有者展示使用行政数据进行研究的效用和潜在政策影响。在北爱尔兰,ADRC和NISRA将帮助制定战略影响方案(SIP),优先考虑不同政府部门的需求,并为政府提供北爱尔兰方案(PfG)。每个SIP都将伴随着由数据保管人共同设计和交付的重点知识交流包。ADRC的一个主要目标是向白厅部门展示其行政数据的潜在效用。因此,我们将继续开发大型多用途的研究数据集下的“老”主题的伙伴关系,并进行了一系列的研究计划,解决研究兴趣(ARI)的领域,制定了合作英国政府部门面临的最重要的研究问题。我们还将为战略中心产生的更广泛的泛英国研究议程的开发和交付做出贡献。
英文摘要
There is great potential for understanding more about our society through better use of data that already exists and by linking different datasets together. Using existing data is not only efficient and cheaper than collecting new data, but it can also provide a powerful means to consider what action is needed to tackle a wide range of social issues, guiding the development, implementation and evaluation of government policies. This can be achieved in a way that ensures that the public have the maximum confidence that their data are being used appropriately and that the safeguards of these data meet the highest international standards.The Administrative Data Research Centre (ARDC) in Northern Ireland (NI) comprises the two universities and NISRA, the local governmental statistics agency. Over the last five years, in collaboration with government bodies and the voluntary and community sectors, the widened access to administrative datasets in Northern Ireland, has enabled us to undertake a range of research projects that have informed government and public services. We have also greatly increased the number of researchers both in academia and government able to manage and analyse these large and complex datasets required to undertake this type of research. While our primary objective for the ADRC over the next 30 months will be to maintain the confidence of the different publics in the use of administrative data for research, our renewed focus will be to build on our work in fostering commitment from Government in NI and throughout the UK to an increased access to and use of administrative data. This will help us maximise the potential of administrative data as a rich resource for evidence-based policy making and evaluation. Our emphasis in this short period will be the rapid delivery of targeted, high impact research-related activities essential to data custodians. To do so, we will extend the use of administrative data that is available and accessible. Importantly, we will continue to strengthen the impact of our research portfolio through more focused knowledge exchange activities. In collaboration with our NISRA partners, we will engage with data custodians ensuring that we take into account their priorities in the policy process cycle and that our research activities in this period are focussed on the timely delivery towards NI Government objectives. We will also undertake a modest portfolio of world-class research projects at both NI and UK level that quickly demonstrates to respective data owners the utility and potential policy impact of using administrative data for research. Within NI, the ADRC and NISRA, will help develop Strategic Impact Programmes (SIP), prioritising the needs of the different Government departments and informing the NI Program for Government (PfG). Each of the SIPs will be accompanied by focused knowledge exchange packages co-designed and delivered by the data custodians. A major objective for the ADRC will be to demonstrate to Whitehall Departments the potential utility of their administrative data. We will therefore continue to develop large multipurpose research datasets under the 'Growing Old' Themed Partnership and undertake a series of research programmes addressing the Areas of Research Interest (ARI) that set out the most important research questions facing the collaborating UK Government Departments. We will also contribute to the development and delivery of the wider pan-UK research agenda arising from the Strategic Hub.
期刊论文(10)
专著(0)
科研奖励(0)
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DOI:
10.1136/bmjopen-2021-056598
发表时间:
2022-03-29
期刊:
BMJ open
影响因子:
2.9
作者:
[Cooper JA, Onyeka I, O'Reilly D, Kirk R, Donnelly M]
通讯作者:
Donnelly M
COVID-19 vaccine uptake, effectiveness, and waning in 82,959 health care workers: A national prospective cohort study in Wales.
COVID-19-82,959名卫生保健工作者的疫苗摄取,有效性和减弱:威尔士的一项国家前瞻性队列研究。
DOI:
10.1016/j.vaccine.2021.11.061
发表时间:
2022-02-16
期刊:
Vaccine
影响因子:
5.5
作者:
[Bedston S, Akbari A, Jarvis CI, Lowthian E, Torabi F, North L, Lyons J, Perry M, Griffiths LJ, Owen RK, Beggs J, Chuter A, Bradley DT, de Lusignan S, Fry R, Richard Hobbs FD, Hollinghurst J, Katikireddi SV, Murphy S, O'Reily D, Robertson C, Shi T, Tsang RSM, Sheikh A, Lyons RA]
通讯作者:
Lyons RA
DOI:
10.1016/j.puhe.2021.12.010
发表时间:
2022-03
期刊:
Public health
影响因子:
5.2
作者:
[Bradley DT, Murphy S, McWilliams P, Arnold S, Lavery S, Murphy J, de Lusignan S, Hobbs R, Tsang RSM, Akbari A, Torabi F, Beggs J, Chuter A, Shi T, Vasileiou E, Robertson C, Sheikh A, Reid H, O'Reilly D]
通讯作者:
O'Reilly D
Mental ill-health among health and social care professionals: an analysis using administrative data.
DOI:
10.23889/ijpds.v6i1.1649
发表时间:
2021
期刊:
International journal of population data science
影响因子:
--
作者:
[Curran E, Rosato M, Ferry F, Leavey G]
通讯作者:
Leavey G
Using record linkage to test representativeness of an ageing cohort
使用记录关联来测试老龄化队列的代表性
DOI:
--
发表时间:
2019
期刊:
影响因子:
--
作者:
[Burns F]
通讯作者:
Burns F
共 6 条
Enhancing the population-wide Northern Ireland Registry of Self-Harm and Suicide Ideation through data linkage
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批准号:ES/R011400/1
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项目类别:Research Grant
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资助金额:$20.06万
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财政年份:2018
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负责人:Dermot O'Reilly
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依托单位:
Social and ophthalmic factors influencing prescribing patterns for childhood myopia
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批准号:ES/R010226/1
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项目类别:Research Grant
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资助金额:$20.6万
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财政年份:2018
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负责人:Dermot O'Reilly
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依托单位:
An ADRC-NI project linking Social Security Benefits and Census data to understand the health and social needs of disability benefits claimants
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批准号:ES/N012003/1
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项目类别:Research Grant
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资助金额:$20.61万
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财政年份:2017
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负责人:Dermot O'Reilly
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依托单位:
LNiK - the Northern Ireland Administrative Data Research Centre
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批准号:ES/L007509/1
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项目类别:Research Grant
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资助金额:$798.69万
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财政年份:2013
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负责人:Dermot O'Reilly
-
依托单位:
国内基金
海外基金
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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批准号:--
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项目类别:合作创新研究团队
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资助金额:--
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Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
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批准年份:2024
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负责人:江洋子
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依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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批准号:--
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项目类别:--
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资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
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批准号:61373035
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项目类别:面上项目
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资助金额:77.0万元
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批准年份:2013
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负责人:冯志勇
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Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data
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批准号:31070748
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资助金额:34.0万元
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批准年份:2010
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负责人:Christine Nardini
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高维数据的函数型数据(functional data)分析方法
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批准号:11001084
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负责人:周迎春
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染色体复制负调控因子datA在细胞周期中的作用
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批准号:31060015
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资助金额:25.0万元
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批准年份:2010
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负责人:莫日根
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依托单位:
Computational Methods for Analyzing Toponome Data
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批准号:60601030
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负责人:Axel Mosig
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依托单位: