Valuation of Data through Use-Scenarios in Innovators' Marketplace on Data Jackets
Valuation of Data through Use-Scenarios in Innovators' Marketplace on Data Jackets
复制标题
通过数据夹创新者市场中的使用场景对数据进行评估
DOI：
10.1109/icdmw.2013.120
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Yoshitaka Suda
中科院分区：
文献类型：
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作者：
Chang Liu;Y. Ohsawa;Yoshitaka Suda
我们对数据市场的看法是，数据应该以约定的价格出售，或者免费开放，或者在约定的条件下协商共享，以增加而不是减少数据提供者的商业机会，从而为决策者和数据分析师提供所需的数据。此外，应在数据用户之间分享与数据分析有关的知识和技能，以便更好地利用所提供的数据并使市场活跃起来。对于这样一个市场，我们认识到有必要设计或重新设计数据市场，在这个市场中，数据提供者和用户通过讨论数据使用场景和谈判交易条件等积极的沟通来理解数据的价值。与此同时，我们也认识到，在理想的市场环境中，这种沟通是可能发生的。因此，我们引入数据外套创新者市场（IMDJ）来创建数据使用场景以及共享数据分析技能。创新市场（IM）是一个以市场为隐喻的创新支持过程，它不仅具有帮助创新思维和沟通的设计，而且具有数据可视化工具。它已被应用于实际业务中的决策案例。Data Jacket是我们引入的一种元数据格式，用于将IM更新到IMDJ，其中创建了数据使用场景，并指定了适当的数据和分析方法，而不会暴露数据集的全部内容。
In our view of the market of data, data should be sold at an agreed price, opened for free, or shared under agreed conditions after negotiation in order to increase, rather than decrease, data providers' business opportunities, as a result, decision makers and data analysts can be provided with data needed. In addition, knowledge and skills related to data analysis should be shared among data users in order to make better use of provided data and animate the market. For such a market, we recognize the necessity to design or redesign the market of data where data providers and users understand the value of data through active communication such as discussion on the scenario of data use and negotiation for deal conditions. At the same time, we also recognize that such communication are likely to happen in an ideal market environment. Thus we introduce Innovators' Marketplace on Data Jackets (IMDJ) to create scenarios of data use as well as share data analysis skills. Innovators' Marketplace (IM) is a creativity support process on the metaphor of a marketplace, which features not only design for aiding innovative thinking and communication but also tools for data visualization. It has been applied to cases of decision making in real business. Data Jacket is a meta-data format we introduce to update IM to IMDJ, where scenarios of data use are created and proper data and analysis methods are specified without exposing the full contents of data sets.