指导数据共享和集成决策的四个问题

Amy Hawn Nelson, Sharon Zanti
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摘要

本文提出了一个四问题框架,以指导数据集成合作伙伴建立强大的治理和法律基础,以支持道德数据使用。虽然这个框架是基于美国常规整合公共数据的工作而开发的,但它的目的是成为一个简单、易于理解的工具,可以适应任何环境。该框架是通过一系列公共审议工作组和15年在美国各地开展的各种数据集成工作的现场经验开发的。四个问题——这合法吗?这合乎道德吗?这是个好主意吗?我们怎么知道(谁决定)?-应在既定的数据治理框架内进行考虑,并与核心合作伙伴一起决定在构建集成数据系统(IDS)时以及在特定数据项目的每个阶段是否以及如何推进。我们将深入讨论这些问题,特别关注治理在建立合法和道德数据使用中的作用。此外,我们还提供了来自两个IDS站点的示例数据治理结构和假设场景,说明了四问题框架的关键考虑因素。结论健全的治理流程对于确定数据共享和整合是否合法、合乎道德以及在当地情况下是否是个好主意至关重要。这个过程是迭代的,与技术相关,这意味着在数据使用项目的每个阶段都应该优先考虑合作伙伴之间的真正协作。这四个问题可以作为确定是否进行数据共享和集成的指南,并应在项目的整个生命周期中定期重新审视。强大的数据治理有五个特点:目的驱动、价值驱动和原则驱动;战略定位;协作;迭代;和透明。通过一系列公共审议工作组和15年的实地经验,我们制定了一个四问题框架,以确定是否以及如何在数据共享和集成项目的每个阶段推进建立IDS。四个问题——这合法吗?这合乎道德吗?这是个好主意吗?我们怎么知道(谁决定)?-应在已建立的数据治理流程和核心合作伙伴之间仔细考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Four Questions to Guide Decision-Making for Data Sharing and Integration
IntroductionThis paper presents a Four Question Framework to guide data integration partners in building a strong governance and legal foundation to support ethical data use. ObjectivesWhile this framework was developed based on work in the United States that routinely integrates public data, it is meant to be a simple, digestible tool that can be adapted to any context. MethodsThe framework was developed through a series of public deliberation workgroups and 15 years of field experience working with a diversity of data integration efforts across the United States. ResultsThe Four Questions - Is this legal? Is this ethical? Is this a good idea? How do we know (and who decides)? - should be considered within an established data governance framework and alongside core partners to determine whether and how to move forward when building an Integrated Data System (IDS) and also at each stage of a specific data project. We discuss these questions in depth, with a particular focus on the role of governance in establishing legal and ethical data use. In addition, we provide example data governance structures from two IDS sites and hypothetical scenarios that illustrate key considerations for the Four Question Framework. ConclusionsA robust governance process is essential for determining whether data sharing and integration is legal, ethical, and a good idea within the local context. This process is iterative and as relational as it is technical, which means authentic collaboration across partners should be prioritized at each stage of a data use project. The Four Questions serve as a guide for determining whether to undertake data sharing and integration and should be regularly revisited throughout the life of a project. Highlights Strong data governance has five qualities: it is purpose-, value-, and principle-driven; strategically located; collaborative; iterative; and transparent. Through a series of public deliberation workgroups and 15 years of field experience, we developed a Four Question Framework to determine whether and how to move forward with building an IDS and at each stage of a data sharing and integration project. The Four Questions—Is this legal? Is this ethical? Is this a good idea? How do we know (and who decides)? —should be carefully considered within established data governance processes and among core partners.
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