Data Release - Trust, Identity, Privacy and Security

开放数据倡议（ODI）表明，政府越来越希望将内部数据作为开放数据集发布。(See https://data.gov.uk）。数据保管人，特别是大型政府组织，如DVLA和HMRC，有法律的义务，由信息专员办公室（ICO）执行，以及对公众的社会责任，以确保隐私不被作为开放数据集发布的数据所侵犯。这些大型组织面临着一个越来越困难的任务，即确定数据的发布是否会导致足够的数据被公开，从而对个人进行三角测量并破坏隐私。我们的研究采取了一种独特的合作方法，将正式方法，反欺诈，数据挖掘和数据可视化相结合，以产生新的工具，方法和理论，用于数据发布。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联合收割机结合，从而对个人数据进行三角测量。我们将采取一种新的方法，使用关于数据的正式概念，（数据使用）和控制标准，以自动生成软件工具，使用户能够操纵，调查和分析数据集，以防止潜在的意外后果。我们将与数据管理员进行实证研究，数据使用者和公众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。

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.