Extension for the Longitudinal Studies Centre - Scotland from 2012 to 2017

苏格兰纵向研究中心 2012 年至 2017 年扩建

• 批准号: ES/K000454/2
• 负责人: Christopher Dibben
• 金额: $ 179.22万
• 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: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FK000454%2F2
• 关键词: Extension; Longitudinal; Studies; Centre; Scotland

Overall we aim to continue to develop the SLS, extending its potential through the addition of new datasets, expanding its research user base by making the data more accessible and extending its coverage through a mechanism for UK level studies.Our 7 objectives are to:1. Enhance the SLS through linkages to new datasets including the 2011 census The key focus of the first two years will be the linking of the 2011 census to the SLS. This work will be considerable.We will however also:- link the Scottish Mental Survey of 1947 to the SLS. This will produce a sample of n~ 3000-3500 and provide information on the age, social class of the cohort's parents, and after the 1980s detailed health and census based information. - establish links, explore the validity and reliability of two main sources of child health surveillance data. Beyond 2014 we will be discussing with:- a number of data holders, the possibility of linking their data to the SLS during the period 2012-2014. This will include the holders of: further and higher education data, information on educational attainment in private schools, social security, dental and prescribing data.- NRS whether it might be feasible to develop a system that would allow 'special' samples of 'SLSs' to be drawn from a 100% population spine producing bespoke 'SLSs'. 2. Support access and use of the SLS by researchersThe core work of the SLS is supporting researchers through the whole life cycle of an SLS research project from application, preparation and data analysis, to publication dissemination. We also organise web-based resources that will help make use of the SLS easier and provide training on the SLS and longitudinal data handling, analysis and modelling through a series of workshops and seminars.3. Maintain the SLS and safe setting We will continue with the core maintenance tasks of the study. 4. Engage and collaborate with other ESRC investmentsWe will work towards a greater integration of the LSes. We will actively support the UK Census Longitudinal Study Development Hub in particular providing significant research support for a project to create a synthetic dataset that can be made available to researchers more flexibly. 5. Promote the research potential of the SLSWe will continue to participate in national and international conferences promoting longitudinal analysis and the SLS. Our website is also an important vehicle not only for advertising the research potential of the SLS, but also for encouraging access to the resource and promoting the outputs and impacts that have already been achieved by researchers using the dataset.6. Promote the impact of the SLSThe SLS already has a track record of directly promoting the impact of its research. Firstly we plan to conduct impact case-studies on a sample of SLS-based projects. We would also seek to continue to hold regular annual presentations and discussion workshops with key government departments. A third avenue of impact promotion planned is to approach professional private-sector bodies to discuss the types of issues directly relevant to their work which might be effectively explored using the SLS. 7. Conduct methodological development workA disadvantage of the current access to SLS data is that users must either visit the safe setting in the SLS unit or submit code to be run by SLS staff. The idea of synthetic data is that simulated data are produced that do not correspond to any real individuals or organisations, but maintain the distributions and the relationships between the variables that exist in the original. This can therefore be used outside the safe setting. We aim to develop a method to produce safe synthetic versions of the SLS.We will also test the validity, reliability and utility of any new data being introduced into the SLS.

总体而言，我们的目标是继续发展SLS，通过增加新的数据集来扩展其潜力，通过使数据更容易获得来扩大其研究用户群，并通过英国水平研究的机制来扩大其覆盖范围。我们的7个目标是：1.通过与包括2011年人口普查在内的新数据集建立联系，加强补充劳工统计办法头两年的主要重点是将2011年人口普查与补充劳工统计办法联系起来。这项工作将是相当可观的。然而，我们还将：-将1947年的苏格兰心理调查与SLS联系起来。这将产生n~3000 - 3500的样本，并提供关于年龄、队列父母的社会阶层的信息，以及20世纪80年代之后基于健康和人口普查的详细信息。- 建立链接，探讨两个主要来源的儿童健康监测数据的效度和信度。2014年以后，我们将与：-一些数据持有者，在2012 - 2014年期间将其数据与补充劳工统计联系起来的可能性。这将包括持有人：继续教育和高等教育数据，私立学校的教育程度信息，社会保障，牙科和处方数据。NRS是否可以开发一个系统，允许从100%的人群脊柱中提取定制的“SLS”的“特殊”样本。 2.支持研究人员访问和使用SLS SLS的核心工作是支持研究人员通过SLS研究项目的整个生命周期，从申请，准备和数据分析，到出版物传播。我们还组织了基于网络的资源，这将有助于更容易地使用SLS，并通过一系列研讨会和讲座提供有关SLS和纵向数据处理，分析和建模的培训。保持SLS和安全设置我们将继续研究的核心维护任务。4.与ESRC的其他投资机构合作我们将努力实现LS的更大整合。我们将积极支持英国人口普查纵向研究发展中心，特别是为一个项目提供重要的研究支持，以创建一个可以更灵活地提供给研究人员的合成数据集。5.我们将继续参加促进纵向分析和SLS的国家和国际会议。我们的网站也是一个重要的工具，不仅可以宣传SLS的研究潜力，还可以鼓励获得资源，促进研究人员使用该网站已经取得的成果和影响。促进SLS的影响SLS已经有了直接促进其研究影响的记录。首先，我们计划对基于SLS的项目样本进行影响案例研究。我们亦会继续与主要政府部门定期举行年度报告会及研讨会。计划的第三个促进影响的途径是与专业私营部门机构接触，讨论与其工作直接相关的问题类型，这些问题可以利用补充劳工计划进行有效探讨。7.开展方法学开发工作目前访问SLS数据的一个缺点是，用户必须访问SLS单元中的安全设置或提交代码由SLS工作人员运行。合成数据的概念是，生成的模拟数据不对应于任何真实的个人或组织，但保持原始数据中存在的变量之间的分布和关系。因此，这可以在安全设置之外使用。我们的目标是开发一种方法来生产安全的合成版本的SLS。我们还将测试的有效性，可靠性和实用性的任何新的数据被引入到SLS。

项目成果

Place of work and residential exposure to ambient air pollution and birth outcomes in Scotland, using geographically fine pollution climate mapping estimates.

• DOI: 10.1016/j.envres.2015.05.010
• 发表时间: 2015-07
• 期刊: Environmental research
• 影响因子: 8.3
• 作者: Dibben C;Clemens T
• 通讯作者: Clemens T

Does area regeneration improve residents' health and well-being?

区域重建能否改善居民的健康和福祉？

• 发表时间: 2014
• 作者: Archibald Daryll G.

Synthetic data estimation for the UK Longitudinal Studies: an introduction to the SYLLS project

英国纵向研究的综合数据估计：SYLLS 项目简介

• 发表时间: 2013
• 作者: Dennett, A

Living in stressful neighbourhoods during pregnancy: an observational study of crime rates and birth outcomes.

• DOI: 10.1093/eurpub/ckw131
• 发表时间: 2017-04-01
• 期刊: European journal of public health
• 影响因子: 4.4
• 作者: Clemens T;Dibben C
• 通讯作者: Dibben C

The association between ambient modelled air pollution and birth outcomes in Scotland

苏格兰环境模型空气污染与出生结果之间的关联

• 发表时间: 2013
• 作者: Clemens, T