课题基金 / 基金详情

Future Data Services Senior Strategic Fellowship

Future Data Services Senior Strategic Fellowship
未来数据服务高级战略奖学金
批准号:
ES/X001288/1
负责人:
Felix Ritchie
金额:
$9.33万
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

项目摘要

项目成果

Felix Ritchie的其他基金

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中文摘要
翻译
英国拥有丰富且普遍得到良好支持的数据服务。然而,在未来几年,提供数据服务可能会面临许多挑战:近年来,访问规则、立法框架、用户需求、技术、公众看法等方面发生了重大变化。此外,我们对如何最好地提供数据服务的理解也发生了变化。在英国和国外,有很多好的实践、有效的技术和成功的沟通或参与的例子,但不清楚英国是否吸取了教训,并适当地传播了知识。高级战略奖学金的目的是支持UKRI在可预见的未来英国的数据服务战略的发展,通过-帮助UKRI确保它有一个清晰的理解,它的未来投资的目的是实现,以及如何资金可以有针对性地实现它最有效;识别差距、学习机会和合理化领域英国的数据环境相对较好,拥有领先的研究人员和从业者、良好实践的例子和支持性立法。然而,如果英国要充分利用其现有投资,并使未来投资的价值最大化,那么它有很多值得学习的领域。具体目标是——领导对数据服务前景的战略审查——为社会科学数据服务基础设施的未来长期投资制定方案;特别关注数据服务领域不同部分的不同成本流——为ESRC 2024年后的数据服务投资制定科学和战略案例——确定小规模投资和活动可能有效补充主要长期投资的领域——为未来数据服务项目制定并实施利益相关者参与计划。首席研究员Felix Ritchie教授多年来一直从事这一领域的研究,为学术界、政府和数据持有者提供战略和运营方面的建议。他领导着一个高效的多学科研究网络,这些研究人员处于该领域许多研究领域的前沿。他将带来他的个人专业知识和他的网络的支持,以确保UKRI的计划是基于来自数据访问、管理、治理和使用的所有领域的研究人员、从业者和决策者的合理建议。
英文摘要
The UK has a rich and generally well-supported data services landscape. However, in the coming years there are likely to be a number of challenges in the provision of data services: recent years have seen significant changes to access rules, the legislative framework, user needs, technology, public perceptions, and so on. In addition, our understanding of how data services can best be provided has changed. There are many examples, in the UK and abroad, of good practice, effective technology, and successful communication or engagement, but it is not clear that the UK has learned lessons and disseminated knowledge appropriately.The purpose of the Senior Strategic Fellowship is to support UKRI in its development of the UK's data services strategy for the foreseeable future, by - helping UKRI ensure that it has a clear understanding of what its future investments are designed to achieve, and how funding can be targeted to achieve it most effectively; and - identifying gaps, opportunities for learning, and areas of rationalisationThe UK data landscape is relatively well-endowed with leading researchers and practitioners, examples of good practice, and supportive legislation. Nevertheless, there are areas of significant learning for the UK if it is to fully leverage its existing investment, and maximise the value of future investment.The specific objectives are to - lead a strategic review of the data services landscape - develop options for future long-term investments in social science data services infrastructure, paying particular attention to the different cost streams of different parts of the data services landscape - draw up the scientific and strategic case for investment in data services by ESRC beyond 2024 - identify areas where smaller-scale investments and activities may usefully supplement major long-term investments - develop and implement a stakeholder engagement plan for the Future Data Services programme.Professor Felix Ritchie, the Principal Investigator, has been involved in this area for many years, advising academic, governments and data holders on their strategy and operations. He leads a highly effective multi-disciplinary network of researchers who are at the forefront of many areas of research in this field. He will bring his personal expertise and the support of his network to ensure that UKRI plans are based upon sound advice from researchers, practitioners and policy makers across all areas of data access, management, governance and use.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Using pedagogical and psychological insights to train analysts using confidential data
利用教学和心理学见解来培训使用机密数据的分析师
DOI: 10.29012/jpc.842
发表时间: 2023
期刊: Journal of Privacy and Confidentiality
影响因子: --
作者: [Green E]
通讯作者: Green E
The inadvertently revealing statistic: A systemic gap in statistical training?
无意中揭示的统计数据:统计培训中的系统性差距?
DOI: 10.1093/jrssig/qmae009
发表时间: 2024
期刊: Significance
影响因子: --
作者: [Derrick B]
通讯作者: Derrick B
Wage and employment dynamics
  • 批准号:
    ES/T013877/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $61.4万
  • 财政年份:
    2019
  • 负责人:
    Felix Ritchie
  • 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: