Extension for the Longitudinal Studies Centre - Scotland (LSCS) from 2018 to 2020

总结：我们将继续发展苏格兰纵向研究，通过增加新的数据集来扩大其潜力，通过通过合成数据使数据更易于访问并提供其他国家安全港的访问来扩大其研究用户基础，同时建立由CALLS-Hub创建的基础设施。我们在30个月期间的8个目标是：1。通过与新数据集的联系来加强SLS第一年的重点将是将司法数据与SLS联系起来。2018年以后，我们将继续与一些数据控制者一起调查，将继续教育和高等教育数据连接起来的可能性；关于私立学校教育成就的资料；社会保障数据；来自国家糖尿病数据库的糖尿病数据；还有养老院的数据。与SLS的所有新联系都必须得到个人数据控制者的批准，或得到国家一级卫生和社会保健公共利益和隐私小组的额外批准。支持研究人员访问和使用SLS，努力将其扩展到整个苏格兰。我们将继续为用户提供高质量的支持。特别是，我们将促进使用合成数据摘录，并通过将对SLS的研究访问扩展到其他国家安全港来提高访问SLS数据的效率。我们还将提供基于网络的资源和培训课程，以帮助更容易地使用SLS。维护SLS和SLS安全设置室我们将继续研究的核心维护任务，包括引入瘦客户端和虚拟机。促进SLS的研究潜力我们将继续修订和更新网站，包括新的SLS工作文件、项目成果、新的培训材料。这将涵盖一些call - hub任务。促进SLS的影响SLS已经有了直接促进其研究影响的记录。我们将继续与苏格兰政府机构合作，促进具有公共利益和政策意义的研究。我们将与CeLSIUS和NILS-RSU的同事合作，确保CALLS-Hub的关键部分得到维护和继续。7. 与其他ESRC投资机构合作我们将继续与其他rsu、苏格兰行政数据研究中心（ADRC-S）、ESRC博士培训网络（DTN）、英国数据服务（UKDS）以及队列和纵向研究增强资源（CLOSER）合作，寻求在数据治理和研究人员培训组织方面的合作。8. 进行方法发展工作，特别是有关历史群组的研究，以便进行更长时间的普查间跟进。我们会进行适当的实质研究，以推广人口统计调查的潜力。我们将继续与ADRC-S的同事合作，扩展我们可以提供给研究人员的合成数据（即长格式数据），因为它已经在一些SLS项目中进行了试点。我们还将在此期间扩展我们的非sls历史数据集。我们将通过提供用户文档和我们的研究人员可以访问的派生变量来改进最近添加的NHS GP邮编数据。

Summary:We will continue to develop the Scottish longitudinal Study, extending its potential through the addition of new datasets, expanding its research user base by making the data more accessible via synthetic data and providing access from other national safe havens, whilst building on the infrastructure created by CALLS-Hub.Our 8 objectives for the 30 month period are to:1. Enhance the SLS through linkages to new datasetsThe key focus of the first year will be the linking justice data to the SLS. Beyond 2018 we will continue investigating with a number of data controllers, the possibility of linking further and higher education data; information on educational attainment in private schools; social security data; diabetes data from the national diabetes database; and care home data. All new linkages to the SLS are subject to approval from the individual data controllers or subject to additional approval from the national-level Public Benefit and Privacy Panel (PBPP) for Health and Social Care.2. Support access and use of the SLS by researchers, working towards extending access across ScotlandWe will continue our high quality support of users. In particular, we will promote the use of synthetic data extracts and improve the efficiency of accessing the SLS data by extending research access to the SLS to the other national Safe Havens. We will also provide web-based resources and training courses that will help make using the SLS easier.3. Maintain the SLS and the SLS Safe Setting RoomWe will continue with the core maintenance tasks of the study including the introduction of thin clients and virtual machines.4. Promote the research potential of the SLSWe will continue revising and updating the website including new SLS working papers, and outcomes from projects, new training materials. This will cover some of the CALLS-Hub tasks.5. Promote the impact of the SLSThe SLS already has a track record of directly promoting the impact of its research. We will continue our collaborations with Scottish governmental agencies in promoting research that has public benefits and policy implications.6. Work with CeLSIUS and NILS-RSU towards a smooth transition taking over CALLS-HubWe will work with colleagues in CeLSIUS and NILS-RSU to ensure that key parts of CALLS-Hub are maintained and continued. 7. Engage and collaborate with other ESRC investmentsWe will continue working with other RSUs, Administrative Data Research Centre Scotland (ADRC-S), the ESRC Doctoral Training Network (DTN), UK Data Service (UKDS) and Cohort and Longitudinal Studies Enhancement Resources (CLOSER) to seek collaboration in data governance and organisation of researcher training. 8. Conduct methodological development work - in particular on historical cohorts to allow longer and inter-censal follow-upWe will undertake appropriate substantive research to promote the potential of the SLS. We will continue to work with colleagues in ADRC-S around extending the synthetic data we can offer researchers (ie long format data) now that it has been piloted by a few SLS projects. We will also extend our non-SLS historical datasets during the period. We will improve the recently added NHS GP postcode data by providing user documentation and derived variables that can be accessed by our researchers.