In the last decades, data have become a cornerstone component in many business decisions, and copious resources are being poured into production and acquisition of the high-quality data. This emerging market possesses unique features, and thus came under the spotlight for the stakeholders and researchers alike. In this work, we aspire to provide the community with a set of tools for making business decisions, as well as analysis of markets behaving according to certain rules. We supply, to the best of our knowledge, the first open source simulation platform, termed Open SOUrce Market Simulator (OSOUM) to analyze trading markets and specifically data markets. We also describe and implement a specific data market model, consisting of two types of agents: sellers who own various datasets available for acquisition, and buyers searching for relevant and beneficial datasets for purchase. The current simulation treats data as an infinite supply product. Yet, other market settings may be easily implemented using OSOUM. Although commercial frameworks, intended for handling data markets, already exist, we provide a free and extensive end-to-end research tool for simulating possible behavior for both buyers and sellers participating in (data) markets.
翻译:在过去几十年中,数据已成为许多商业决策的基石,大量资源正被投入高质量数据的生产和获取中。这个新兴市场具有独特的特点,因此受到利益攸关方和研究人员的注意。在这项工作中,我们渴望向社区提供一套工具,用于商业决策,以及根据某些规则分析市场行为。我们根据我们的知识,提供第一个公开源模拟平台,称为开放SOUrce市场模拟器(OSOUM),用于分析交易市场,特别是数据市场。我们还描述并实施了一种特定的数据市场模型,由两种类型的代理组成:拥有可供购买的各种数据集的卖方,以及寻找相关和有益的数据集供购买的买方。目前的模拟将数据作为无限的供应产品处理。然而,其他市场环境可能很容易使用OSOUM。尽管已经存在旨在处理数据市场的商业框架,但我们为参与(数据)市场的买方和卖方提供了一种自由的终端至终端研究工具,用以模拟可能的行为。