The creation and use of big administrative data

H. Goldstein, R. Gilbert
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Abstract

his chapter addresses data linkage which is key to using big administrative datasets to improve efficient and equitable services and policies. These benefits need to weigh against potential harms, which have mainly focussed on privacy. In this chapter we argue for the public and researchers to be alert also to other kinds of harms. These include misuses of big administrative data through poor quality data, misleading analyses, misinterpretation or misuse of findings, and restrictions limiting what questions can be asked and by whom, resulting in research not achieved and advances not made for the public benefit. Ensuring that big administrative data are validly used for public benefit requires increased transparency about who has access and whose access is denied, how data are processed, linked and analysed, and how analyses or algorithms are used in public and private services. Public benefits and especially trust require replicable analyses by many researchers not just a few data controllers. Wider use of big data will be helped by establishing a number of safe data repositories, fully accessible to researchers and their tools, and independent of the current monopolies on data processing, linkage, enhancement and uses of data.
创建和使用大管理数据
他的章节讨论了数据链接,这是使用大管理数据集来提高效率和公平的服务和政策的关键。这些好处需要权衡潜在的危害,这些危害主要集中在隐私方面。在本章中,我们认为公众和研究人员也要警惕其他种类的危害。这些问题包括通过低质量数据滥用大行政数据,误导性分析,误解或滥用调查结果,以及限制可以提出什么问题和由谁提出的限制,导致研究无法完成,无法为公共利益取得进展。确保大管理数据有效地用于公共利益,需要提高透明度,包括谁有权访问谁被拒绝访问,如何处理、链接和分析数据,以及如何在公共和私人服务中使用分析或算法。公共利益,尤其是信任,需要许多研究人员进行可复制的分析,而不仅仅是少数数据控制者。建立一些安全的数据存储库,研究人员及其工具可以完全访问这些存储库,并独立于目前在数据处理、链接、增强和使用方面的垄断,将有助于大数据的广泛使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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