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Government data does not mean data governance: Lessons learned from a public sector application audit

机译:政府数据并不意味着数据治理:从公共部门应用程序审计中学到的经验教训

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Public sector agencies routinely store large volumes of information about individuals in the community. The storage and analysis of this information benefits society, as it enables relevant agencies to make better informed decisions and to address the individual's needs more appropriately. Members of the public often assume that the authorities are well equipped to handle personal data; however, due to implementation errors and lack of data governance, this is not always the case. This paper reports on an audit conducted in Western Australia', focusing on findings in the Police Firearms Management System and the Department of Health Information System. In the case of the Police, the audit revealed numerous data protection issues leading the auditors to report that they had no confidence in the accuracy of information on the number of people licensed to possess firearms or the number of licensed firearms. Similarly alarming conclusions were drawn in the Department of Health as auditors found that they could not determine which medical staff member was responsible for clinical,data entries made. The paper describes how these issues often do not arise from existing business rules or the technology itself, but a lack of sound data governance. Finally, a discussion section presents key data governance principles and best practices that may guide practitioners involved in data management. These cases highlight the very real data management concerns, and the associated recommendations provide the context to spark further interest in the applied aspects of data protection. (C) 2015 Elsevier Inc All rights reserved.
机译:公共部门机构通常会存储有关社区中个人的大量信息。这些信息的存储和分析使社会受益,因为它使相关机构能够做出更明智的决策,并更适当地满足个人的需求。公众经常认为当局具备处理个人数据的能力;但是,由于实现错误和缺乏数据管理,情况并非总是如此。本文报告了在西澳大利亚州进行的一次审核,重点是警察枪支管理系统和卫生信息系统部的调查结果。就警察而言,审计发现了许多数据保护问题,导致审计员报告说,他们对持枪人数或持枪人数的信息的准确性不满意。同样,在卫生部得出了令人震惊的结论,因为审计师发现他们无法确定由哪名医务人员负责临床数据输入。本文描述了这些问题通常不是由现有的业务规则或技术本身引起的,而是缺乏完善的数据治理。最后,讨论部分介绍了关键的数据治理原则和最佳实践,可以指导从事数据管理的从业人员。这些案例突出了非常实际的数据管理问题,并且相关的建议提供了激发数据保护应用方面进一步兴趣的环境。 (C)2015 Elsevier Inc保留所有权利。

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