数据资产定价的挑战:文献综述

Wolfgang Badewitz, Christoph Hengesbach, Christof Weinhardt
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引用次数: 1

摘要

数据具有巨大的价值。但是,由于今天的数据不能在其原始上下文之外重用,因此丢失了太多的价值。充分利用越来越多、越来越好的数据的一个关键是开放孤岛和共享数据。在不久的将来,数据应该成为公司可以买卖的资产,任何知道如何使用它的人都可以使用它。要实现数据市场繁荣的愿景,首先要解决如何给数据定价的问题。在本文中,我们检查了现有的研究机构在这个问题上,并从科学的角度强调了数据定价的挑战。通过这种方式,我们对技术的现状有了一个全面的了解,并为未来的研究奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Challenges of pricing data assets: a literature review
Data has tremendous value. However, too much of this value is lost because the data today is not reusable outside of its original context. A major key to taking full advantage of ever more and better data is opening up silos and sharing data. In the near future, data should become an asset that companies can sell and buy and that is accessible to anyone who has an idea on how to use it. To realize the vision of a thriving data market, one must first address the question of how to price data. In this paper, we have examined the existing body of research on this issue and highlighted the challenges of data pricing from a scientific perspective. In this way, we gain a comprehensive overview of the state of the art and prepare the ground for future research.
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