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Data Resource: the National Pupil Database (NPD)

机译:数据资源:国家瞳孔数据库(NPD)

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IntroductionThe National Pupil Database (NPD) is a record-level administrative data resource curated by the UK government’s Department for Education that is used for funding purposes, school performance tables, policy making, and research.ProcessesData are sourced from schools, exam awarding bodies, and local authorities who collect data on an on-going basis and submit to the Department for Education either termly or yearly.Data contentsNPD contains child-level and school-level data on all pupils in state schools in England (6.6 million in the 2016/17 academic year). The primary module is the census, which has information on characteristics and school enrolment. Other modules include alternative provision, exam attainment, absence and exclusions. Data from children’s social care are also available on children referred for support and those who become looked after. Children’s records are linkable across different modules and across time using a nationally unique, anonymised child-level identifier. Linkage to external datasets has also been accomplished using child-level identifiers.ConclusionsThe NPD is an especially valuable data resource for researchers interested in the educational experience and outcomes of children and young people in England. Although limited by the fact that children in private schools or who are home schooled are not included, it provides a near-complete picture of school trajectories and outcomes for the majority of children. Linkage to other datasets can enhance analyses and provide answers to questions that would otherwise be costly, time consuming and difficult to find.
机译:介绍国家瞳孔数据库(NPD)是英国政府教育部门策划的记录级别管理数据资源,用于用于资助目的,学校绩效表,政策制定和研究。Processesdata是从学校采购,考试奖励机构,和当地当局在持续的基础上收集数据,并以全年或年度提交给教育部.DATA ContentnPD载有关于英格兰州立学校的所有学生的儿童级和学校级数据(2016年660万/ 17学年)。主要模块是人口普查,其中有关于特征和学校注册的信息。其他模块包括替代规定,考试,缺席和排除。儿童社会护理的数据也可在提到支持的儿童和那些照顾的孩子身上提供。儿童的记录在不同的模块中是可连接的,并且使用全国唯一的匿名子级标识符。还使用儿童级标识符来完成与外部数据集的链接.ConclusionSthe NPD是对对英格兰儿童和青少年教育经验和结果感兴趣的研究人员特别有价值的数据资源。虽然没有包括私立学校或家庭受教室的孩子的事实受到限制,但它为大多数儿童提供了学校轨迹和结果的近乎完整的榜样。与其他数据集的联动可以增强分析,并为否则昂贵,耗时且难以找到的问题提供答案。

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