Milne Barry J, D'Souza Stephanie, Andersen Signe Hald, Richmond-Rakerd Leah S
School of Social Sciences and Centre of Methods and Policy Application in the Social Sciences (COMPASS), University of Auckland, Auckland, New Zealand.
Rockwool Foundation Research Unit, Copenhagen, Denmark.
Annu Rev Dev Psychol. 2022 Dec;4(1):447-468. doi: 10.1146/annurev-devpsych-120920-023709. Epub 2022 Sep 14.
Population-level administrative data-data on individuals' interactions with administrative systems (e.g., health, criminal justice, and education)-have substantially advanced our understanding of life-course development. In this review, we focus on five areas where research using these data has made significant contributions to developmental science: () understanding small or difficult-to-study populations, () evaluating intergenerational and family influences, () enabling estimation of causal effects through natural experiments and regional comparisons, () identifying individuals at risk for negative developmental outcomes, and () assessing neighborhood and environmental influences. Further advances will be made by linking prospective surveys to administrative data to expand the range of developmental questions that can be tested; supporting efforts to establish new linked administrative data resources, including in developing countries; and conducting cross-national comparisons to test findings' generalizability. New administrative data initiatives should involve consultation with population subgroups including vulnerable groups, efforts to obtain social license, and strong ethical oversight and governance arrangements.
基于人群的行政数据——关于个人与行政系统（如医疗、刑事司法和教育）互动的数据——极大地增进了我们对生命历程发展的理解。在本综述中，我们聚焦于五个领域，利用这些数据开展的研究在这些领域对发展科学做出了重大贡献：（1）了解规模较小或难以研究的人群；（2）评估代际和家庭影响；（3）通过自然实验和区域比较进行因果效应估计；（4）识别有负面发展结果风险的个体；（5）评估邻里和环境影响。通过将前瞻性调查与行政数据相链接以扩大可检验的发展问题范围、支持建立新的链接行政数据资源（包括在发展中国家）以及进行跨国比较以检验研究结果的普遍性，将会取得进一步进展。新的行政数据计划应包括与包括弱势群体在内的人群亚组进行协商、努力获得社会许可以及强有力的伦理监督和治理安排。
