论文标题
数据市场平台：交易数据资产以解决数据问题
Data Market Platforms: Trading Data Assets to Solve Data Problems
论文作者
论文摘要
数据仅为一些具有专业知识和资源的组织产生价值，以使数据可共享，可发现且易于集成。共享易于发现和集成的数据很难，因为数据所有者缺乏信息（谁需要数据），并且他们没有动机以其他人易于消费的方式准备数据。 在本文中，我们提出了数据市场平台，以解决缺乏信息和激励措施，并解决数据共享，发现和集成的问题。在数据市场平台中，数据所有者希望共享数据，因为如果这样做，它们将获得奖励。鼓励消费者分享他们的数据需求，因为市场将解决他们的发现和集成问题，以换取某种形式的货币。 我们考虑在组织内部运作的内部市场，以降低数据孤岛，以及跨组织运营的外部市场，以增加每个人的数据价值。我们概述了围绕两个问题的研究议程。市场设计问题，或如何设计导致我们想要的结果以及系统问题的规则，如何实施市场和执行规则。将数据视为一流的资产是非常需要将数据的价值扩展到更多组织的，我们将数据市场平台作为实现此目标的一种机制。
Data only generates value for a few organizations with expertise and resources to make data shareable, discoverable, and easy to integrate. Sharing data that is easy to discover and integrate is hard because data owners lack information (who needs what data) and they do not have incentives to prepare the data in a way that is easy to consume by others. In this paper, we propose data market platforms to address the lack of information and incentives and tackle the problems of data sharing, discovery, and integration. In a data market platform, data owners want to share data because they will be rewarded if they do so. Consumers are encouraged to share their data needs because the market will solve the discovery and integration problem for them in exchange for some form of currency. We consider internal markets that operate within organizations to bring down data silos, as well as external markets that operate across organizations to increase the value of data for everybody. We outline a research agenda that revolves around two problems. The problem of market design, or how to design rules that lead to the outcomes we want, and the systems problem, how to implement the market and enforce the rules. Treating data as a first-class asset is sorely needed to extend the value of data to more organizations, and we propose data market platforms as one mechanism to achieve this goal.
