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Data Release - Trust, Identity, Privacy and Security

数据发布 - 信任、身份、隐私和安全

基本信息

批准号：
EP/N028139/1
负责人：
Mark Jones
金额：
$ 126.63万
依托单位：
Swansea University
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2016
资助国家：
英国
起止时间：
2016 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FN028139%2F1
关键词：
Data Release Trust Identity Privacy

项目摘要

The Open Data Initiative (ODI) demonstrates that there is a growing ambition from government to publish internal data as open data sets. (See https://data.gov.uk). Data custodians, particularly large governmental organisations such as the DVLA and HMRC, have a legal duty, enforced by the Information Commissioner's Office (ICO), and social duty of care to the public, to ensure that privacy is not breached by the release of data as open data sets. These large organisations face an increasingly difficult task in establishing whether the release of data will result in enough data being open to triangulate individuals and destroy privacy.Our research takes a collaborative approach uniquely combining formal methods, counter-fraud, data mining and data visualization to produce new tools, methodologies and theory for working with data release. We will produce tools that allow interactive analysis of data sets to determine if data release can combine with existing data to triangulate personal data. We will take a new approach of using formal notions about data, memorandums of understanding (of data use) and criteria of control to auto-generate software tools that allow the user to manipulate, investigate and analyse data sets for potential unintended consequences if released.We will undertake empirical studies with data keepers, data users and members of the public to inform data policies surrounding release of data and integrate this within our toolsets and methodologies.

开放数据倡议（ODI）表明，政府将内部数据作为开放数据集发布的雄心越来越大。(见https://data.gov.uk)。数据保管人，特别是像DVLA和HMRC这样的大型政府组织，有一项法律义务，由信息专员办公室（ICO）执行，并对公众负有社会责任，以确保作为开放数据集发布的数据不会侵犯隐私。这些大型组织面临着一项日益艰巨的任务，即确定数据的发布是否会导致足够多的数据被公开，从而对个人进行三角测量，并破坏隐私。我们的研究采用一种独特的协作方法，将形式方法、反欺诈、数据挖掘和数据可视化相结合，为数据发布工作提供新的工具、方法和理论。我们将开发工具，允许对数据集进行交互式分析，以确定数据发布是否可以与现有数据相结合，对个人数据进行三角测量。我们将采用一种新的方法，使用关于数据的正式概念、（数据使用的）谅解备忘录和控制标准来自动生成软件工具，这些工具允许用户操作、调查和分析数据集，以防发布时可能出现的意想不到的后果。我们将与数据保管人、数据用户和公众进行实证研究，以告知有关数据发布的数据政策，并将其整合到我们的工具集和方法中。