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Enterprise Data Sharing Requirements: Rich Policy Languages and Intuitive User Interfaces

机译:企业数据共享要求:丰富的策略语言和直观的用户界面

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Enterprises, from medical to financial, commercial, and military commonly share many types of data with many partner enterprises to accomplish their goals. Enterprise data sharing comes with three challenges: First, it needs to be tailored and selective so that not all of an enterprise's data is shared with everyone, or even that whichever data an enterprise decides to share is shared with all. Rather enterprises want to share only on a need-to-know basis. Second, data sharing policies need to be represented in a machine-readable format so that requests for data can be handled in an automated way to ensure fast, reliable, and consistent sharing. Third, an intuitive and easy to use data sharing language is essential to facilitate effective creation and management of data sharing policies by end users. To overcome these challenges, we have developed 1) a rich policy language that allows the expression of data sharing intentions through a small number of concise policy definitions that can adapt to a wide variety of different scenarios, and 2) highly usable interfaces for creating and reviewing policies without requiring intensive training. We previously described aspects of a system that works towards these goals (Briesemeister et al. 2019; Martiny et al. 2018). Here, we describe system improvements that bring us closer to highly expressive yet highly usable tailored data sharing capabilities for enterprises.
机译:企业从医疗到金融,商业和军事,通常与许多伴侣企业共享许多类型的数据来实现他们的目标。企业数据共享具有三项挑战:首先,它需要量身定制和选择性,使企业的数据并非所有企业的数据都与每个人共享,甚至可以使用企业判定共享的数据,以与所有人一起共享。相反,企业只想以不需要的方式分享。其次,数据共享策略需要以机器可读格式表示,以便可以以自动化方式处理对数据的请求,以确保快速,可靠和一致的共享。第三,直观且易于使用的数据共享语言对于通过最终用户有效创建和管理数据共享策略至关重要。为了克服这些挑战,我们已经开发了1)一种丰富的政策语言,允许通过少数简明策略定义表达数据共享意图,这些定义可以适应各种不同场景,2)用于创建和创建的高度可用界面在不需要密集培训的情况下审核政策。我们之前描述了对这些目标有效的系统的方面(Briesemeister等,2019; Martiny等,2018)。在这里,我们描述了系统改进,使我们更接近企业的高度表现力而高度可用的量身定制的数据共享能力。

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