课题基金 / 基金详情

Administrative Data Service

Administrative Data Service
行政数据服务
批准号:
ES/L007452/1
负责人:
Matthew Woollard
金额:
$606.12万
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 --

项目摘要

项目成果

Matthew Woollard的其他基金

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相关文献

中文摘要
翻译
出于研究目的获取行政数据是一种积极的公共利益。使用这些记录的能力--由政府和其他机构在正常业务过程中收集--并将它们彼此联系起来,并与有关个人和组织的其他信息联系起来,可以极大地提高我们进行现代社会所需研究的能力。有了这些相互关联的数据,我们可以评估从税收结构、教育改革和医疗服务创新到福利制度变化以及对犯罪和其他方面的影响等方方面面的公共政策。它可以帮助我们模拟经济发展,评估不断变化的法律和政治环境的影响,并真正了解社会随时间和地点的变化。这些数据是一种丰富且未得到充分利用的研究资源。它们还受到无数不同的部门和国家政策以及立法框架和门户的管理,这使得它们极难以始终如一的安全、可靠和规范的方式访问、链接和使用。由于这些数据是关于个人和企业的信息,收集本身并不是为了研究目的,因此人们有理由对这些数据如何使用、在什么环境下使用、由谁使用以及为什么使用感到担忧。行政数据研究网络(ADRN)的目的是促进对这一丰富研究资源的访问,同时保持最大的数据安全性和个人机密性。行政数据服务(ADS)是ADRN的重要组成部分;它是该网络的公众形象,也是连接四个国家行政数据研究中心(ADRC)的纽带。它提供:-对有兴趣使用行政数据的研究人员的第一个停靠点--关于行政数据资源的实质性增强的文件和信息--它们包含什么,它们是如何构造的,它们是如何收集的,以及这些资源是如何通过关于将行政数据用于研究的许多问题的长期指导而发生变化的,包括关于最新法律发展的简报--用户可以在一站式商店中请求访问行政数据,并为拟议的研究提供数据链接。该服务收集关于研究人员及其研究的所有必要信息,并与数据所有者就研究访问进行谈判,并与可信的第三方进行数据链接。它允许研究人员跟踪其请求的状态,并与专家网络合作,确保只向数据所有者提出可行的项目作为数据访问和/或链接请求。该处还负责在国家统计机构、其他数据所有者和发展研究中心之间就评价研究和认可研究人员的标准以及获取数据的安全设施的要求,就标准程序和做法达成共识。这种共识的建立将对所有使用数据的研究产生巨大和长期的影响。它完全符合开放政府议程,但也了解并注意到对数据保护的日益增长的要求。让关键的利益相关者坐在一起讨论这些问题并交付建议的解决方案,很可能是影响最持久的服务活动。最后,该服务吸引公众参与,以确保围绕数据保护和开放政府的讨论得到积极影响的故事的信息,这些故事反映了支持和简化对行政数据的研究访问所带来的公共利益。
英文摘要
Access to administrative data for research purposes is a positive public good. The ability to use these records - collected in the course of normal business by governmental and other bodies - and to link them with each other and with other information about people and organisations, can greatly enhance our ability to do the research modern society needs. With these linked data we can evaluate public policies on everything from tax structures, educational reforms and health service innovations to changes in benefits regimes and the effect on crime and beyond. It can help us to model economic progress, assess the impact of changing legal and political circumstances and really understand societal change over time and place. These data are a rich and greatly under-utilised research resource. They are also governed by a myriad different departmental and national policies and legislative frameworks and gateways which make them extremely difficult to access, link and use in a consistently safe, secure and regulated fashion. Because these data are information about individual people and businesses collected not for research purposes per se, there are rightly many concerns about how they are used, in what settings, by whom and why. The purpose of the Administrative Data Research Network (ADRN) is to facilitate access to this rich research resource while preserving maximal data security and individual confidentiality. The Administrative Data Service (ADS) is a crucial part of ADRN; serving as the public face of the network and the bond which bridges the four national Administrative Data Research Centres (ADRCs). It provides: - the first port of call for researchers interested in using administrative data - substantial enhanced documentation and information about administrative data resources - what they contain, how they are structured, how and why they were collected, and how these have changed through time - extensive guidance on many issues around the use of administrative data for research, including briefs on the most up-to-date legal developments - the one-stop-shop where users can request access to administrative data and for data linkages for proposed research. The service collects all the required information about the researchers and their research, and negotiates with data owners for research access and with trusted third parties for data linkage. It allows researchers to track the status of their requests, and works with a network of experts to ensure that only feasible projects are put forward as data access and/or linkage requests to data owners. The service also is responsible for building consensus around standard procedures and practices among national statistical agencies, other data owners and ADRCs in regard to criteria for evaluating research and accrediting researchers, and requirements for secure facilities in which to access data. This consensus-building will have a great and long-ranging impact on all research which uses data. It sits squarely within the Open Government agenda but is also informed by and mindful of the increasing requirements for data protection. Getting the key stakeholders literally to sit around a table and discuss these issues and deliver proposed solutions may well be the service activity with the longest lasting impact. Finally, the service engages the public to ensure that the discourse around data protection and open government is informed by positive impact stories reflecting the public good that comes from enabling and easing research access to administrative data.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
Network (stakeholder newsletter)
网络(利益相关者通讯)
DOI: --
发表时间:
期刊:
影响因子: --
作者: [ADS]
通讯作者: ADS
Legal Issues for ADRN Users
ADRN 用户的法律问题
DOI: --
发表时间: 2016
期刊:
影响因子: --
作者: [Bell J]
通讯作者: Bell J
Network- October 2016
网络- 2016 年 10 月
DOI: --
发表时间: 2016
期刊:
影响因子: --
作者: [ADRN]
通讯作者: ADRN
ADRN Annual Review 2014-15
ADRN 年度回顾 2014-15
DOI: --
发表时间:
期刊:
影响因子: --
作者: [ADS]
通讯作者: ADS
共 10 条
    UK Data Service (2017-2022)
    • 批准号:
      ES/P008437/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $4002.68万
    • 财政年份:
      2017
    • 负责人:
      Matthew Woollard
    • 依托单位:
    Enhancing and Enriching Historic Census Microdata
    • 批准号:
      ES/K005731/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $62.65万
    • 财政年份:
      2012
    • 负责人:
      Matthew Woollard
    • 依托单位:
    UK Data Service
    • 批准号:
      ES/J023477/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $2812.06万
    • 财政年份:
      2012
    • 负责人:
      Matthew Woollard
    • 依托单位:
    Census Registration Service / Census Portal (Contract Extension, 2011-2012)
    • 批准号:
      ES/I031383/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $27.58万
    • 财政年份:
      2011
    • 负责人:
      Matthew Woollard
    • 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: