Cens-able - Improving and empowering census data research opportunities in Scotland

目标和目标我们的目标是为2022年苏格兰人口普查改进和增强三个与人口普查相关的产品。我们将致力于的三个产品是：改进公平保护特征数据工作时间和收入年度调查(ASHE)到人口普查的联系(ASHE-人口普查)一个高保真的ASHE-人口普查综合数据集这些与人口普查有关的产品将是苏格兰研究人员根据新的“就绪并重复使用”模式创建和访问的首批产品之一。在四次互动培训活动中，我们将推广与人口普查相关的产品，并向研究人员传播关于苏格兰正在发生的系统转型的知识。潜在的应用程序和好处我们将通过完成四个工作包(WP)来实现我们的目标。WP0：促进和最大限度地增加用户参与度和与人口普查相关的数据价值。这一一揽子工作将为所有与人口普查有关的产品提供基础。我们的方法将使研究人员能够了解人口普查相关数据的原始来源、提供人口普查相关数据所需的流程，以及研究人员如何有效地访问和使用人口普查相关数据。WP1：改善平等保护特征研究数据集(以下简称平等)。苏格兰行政数据研究(ADR-Scotland)将提供2022年平等数据集的标准更新，其中将包括2022年生活在苏格兰但2011年不在苏格兰的人的数据，并首次包括性取向和变性状态的记录。当ADR-Scotland处理这些标准更新时，我们将使用拟议的ESRC拨款来委托关键的公共参与工作，以了解受保护特征数据的可接受性和未来的研究用途。在更新完成后，作为ESRC提案的一部分，我们将分析和探索对平等2022联系的潜在改进，以捕捉受保护特征的纵向变化，特别是残疾状况。探索性纵向分析和公众参与工作目前没有由ADR-Scotland计划。WP2：增强与人口普查相关的尖端产品的能力，有可能提高我们对苏格兰劳动力的了解，并开始为未来的商业脊梁提供信息。我们将把苏格兰的人口普查与2022年的人口普查(以下简称人口普查)联系起来。这一数据产品将使研究人员能够独立地了解苏格兰围绕新冠肺炎大流行的劳动力。然后，人口普查将使未来能够与其他数据建立联系，使研究人员能够更好地了解苏格兰劳动力的健康和社会经历。ASHE-人口普查代表着附加值和一个独特的机会，可以测试为苏格兰未来的商业脊梁提供信息所需的概率联系方法。为ASHE-人口普查关联创建高保真合成数据集将通过提高对人口普查关联数据的认识来最大限度地利用数据，并支持研究人员在全面应用之前处理数据。对实现出色的社会科学领导的研究的影响所有合作者正在引领苏格兰数据关联格局的变化，从“创建和销毁”转向“准备和重新使用”。我们将利用拟议的ESRC赠款，通过简化的技术流程和最近推出的研究人员访问服务，将这些与人口普查相关的产品加速进入苏格兰国家安全港。这为向研究人员提供普查数据节省了时间和资源效率。

Aims and ObjectivesWe aim to improve and empower three census-linked products for the 2022 Scottish census. The three products we will work on are:Improving the Equalities Protected Characteristics dataAnnual Survey of Hours and Earnings (ASHE) to census linkage (ASHE-census)A high-fidelity synthetic data set for ASHE-censusThese census-linked products will be some of the first be created and accessed by researchers under the new "ready and reuse" model in Scotland. During four interactive training events, we will promote the census-linked products and disseminate knowledge to researchers on the system transformation happening in Scotland.Potential applications and benefitsWe will achieve our aims by completing four work packages (WP).WP0: Promoting and maximising user engagement and census-linked data value. This work package will underpin all census-linked products. Our approach will enable researchers to understand the original sources of census-linked data, the processes required to provision census-linked data, and how researchers can access and work with census-linked data efficiently.WP1: Improving the Equalities Protected Characteristics Research Dataset (henceforth Equalities). Administrative Data Research Scotland (ADR-Scotland) will deliver a standard update to the Equalities 2022 dataset, which will include data for people living in Scotland in 2022 who were not in Scotland in 2011, and, for the first time, include records of sexual orientation and trans status. While ADR-Scotland process these standard updates, we will be using the proposed ESRC grant to commission critical public engagement work on the acceptability of protected characteristics data and future research use. After the update has been completed, and as part of this ESRC proposal, we will analyse and explore potential improvements to the Equalities 2022 linkage to capture longitudinal changes in protected characteristics, particularly disability status. The exploratory longitudinal analysis and public engagement work are not currently planned by ADR-Scotland.WP2: Empowering a cutting-edge census-linked product with the potential to improve our understanding of Scotland's workforce and start informing a future business spine. We will link the ASHE for Scotland with the 2022 census (hereafter ASHE-census). This data product will independently enable researchers to understand Scotland's workforce surrounding the COVID-19 pandemic. ASHE-census will then enable future linkages to other data, empowering researchers to better understand the health and social experiences of Scotland's workforce. The ASHE-census represents added value and a unique opportunity to test the probabilistic linkage methodology required to inform a future business spine for Scotland.WP3: Developing a synthetic data set. Creating a high-fidelity synthetic dataset for ASHE-census linkage will maximise use by raising awareness of census-linked data and support researchers to work with data prior to full application.Impact on enabling excellent social science led researchAll collaborators are leading the changes to Scotland's data linkage landscape, moving from "create and destroy" to "ready and reuse". We will use the proposed ESRC grant to accelerate these census-linked products into the Scottish National Safe Haven using a streamlined technical process and the recently launched Researcher Access Service. This represents time and resource efficiency savings for the provision of census data to researchers.