ADRC-S Legacy Projects from phase 1 (2013-18)

ADRC-S 第一阶段 (2013-18) 的遗留项目

• 批准号: ES/T009810/1
• 负责人: Christopher Dibben
• 金额: $ 15.12万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FT009810%2F1
• 关键词: ADRC; Legacy; Projects; phase; 2013

Administrative data (that is information collected primarily for administrative purposes) has long contributed to central government statistics. During the last 15-20 years, technological advances in data science have allowed very large databases to be held by central and local government and by specialist agencies across the UK. This resource, coupled with the enormous computational power now available, and a robust data protection framework, opens up the possibility of developing a core resource for social science research. Linking such administrative data sets (in an anonymous form, and analysed in a secure environment) provides new insights into a diverse set of issues, e.g., the impact of homelessness on health, the type of care given to children looked after by the state, the impact of poverty on child development. The ambition of administrative data research is to help government and others make better-informed decisions based on a robust understanding of the issues.The set of projects to be supported were initiated in the first phase of funding (ADRN) that established a UK-wide network of data centres. These projects were not able to be completed within the time-frame, in part because of the pioneering nature of the work and the (understandable) length of time taken to agree data sharing agreements with data controllers. For example, some of the projects that will be supported utilise Census data, where the principles of data sharing (in Scotland) have only just been agreed. Other projects have been in negotiation with Whitehall over many years (e.g. DWP) and data will now be delivered in the wake of the DEA.ESRC recognised the value of this area of research, but also the need to work more closely in collaboration with government partners, with the ambition of creating research-ready data holdings and a unified process of governance and permissions. Hence the award of the second phase of funding, and the realisation that the work done in the first phase (e.g. negotiating access to data, obtaining research-specific permissions) should if at all possible be continued to supported.

行政数据（即主要用于行政目的而收集的信息）长期以来一直为中央政府统计做出贡献。在过去的 15-20 年里，数据科学的技术进步使得英国中央和地方政府以及专业机构能够拥有非常大的数据库。这种资源，加上现在可用的巨大计算能力和强大的数据保护框架，为开发社会科学研究核心资源提供了可能性。连接这些行政数据集（以匿名形式，并在安全的环境中进行分析）可以为一系列不同的问题提供新的见解，例如无家可归对健康的影响、国家对儿童的照顾类型、贫困对儿童发展的影响。行政数据研究的目标是帮助政府和其他机构在对问题的深入了解的基础上做出更明智的决策。所支持的一系列项目是在第一阶段资金 (ADRN) 中启动的，该资金建立了英国范围内的数据中心网络。这些项目未能在时限内完成，部分原因是工作的开创性以及与数据控制者达成数据共享协议所需的（可以理解的）时间长度。例如，一些将得到支持的项目利用人口普查数据，其中数据共享原则（在苏格兰）刚刚达成一致。其他项目已经与白厅谈判多年（例如 DWP），数据现在将在 DEA 之后交付。ESRC 认识到这一研究领域的价值，但也认识到需要与政府合作伙伴更密切地合作，以创建可供研究使用的数据持有以及统一的治理和许可流程。因此，授予第二阶段的资金，并认识到第一阶段所做的工作（例如，谈判数据访问、获得特定于研究的许可）应尽可能继续得到支持。

项目成果

Evidencing the gap between health expectancy and life expectancy for ethnic groups in Scotland.

证明苏格兰各族裔群体的预期健康状况和预期寿命之间的差距。

• DOI: 10.14428/rqj2019.07.01.05
• 发表时间: 2020
• 期刊: Quetelet Journal
• 作者: Cezard G

Postal deliveries of drugs in Scotland

苏格兰邮寄毒品

• 发表时间: 2020
• 作者: Ben Matthews

Quantifying the health and economic benefits of active commuting in scotland

• DOI: 10.1016/j.jth.2021.101111
• 发表时间: 2021-06-20
• 期刊: JOURNAL OF TRANSPORT & HEALTH
• 影响因子: 3.6
• 作者: Baker, Graham;Pillinger, Rebecca;Whyte, Bruce
• 通讯作者: Whyte, Bruce

Childhood intelligence and risk of depression in later-life: A longitudinal data-linkage study.

• DOI: 10.1016/j.ssmph.2023.101560
• 发表时间: 2024-03
• 期刊: SSM-POPULATION HEALTH
• 影响因子: 4.7
• 作者: Ball, Emily L.;Altschul, Drew M.;Cox, Simon R.;Deary, Ian J.;Mcintosh, Andrew M.;Iveson, Matthew H.
• 通讯作者: Iveson, Matthew H.

Selective schools: do they improve health?

精英学校：它们能改善健康吗？

• 发表时间: 2021
• 作者: Frank Popham