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.

中文翻译：

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OSOUM交易数据研究框架

在过去的几十年中，数据已成为许多业务决策的基础，并且大量的资源被投入到高质量数据的生产和获取中。这个新兴市场具有独特的功能，因此受到了利益相关者和研究人员的关注。在这项工作中，我们希望为社区提供一套用于制定业务决策以及根据某些规则进行市场行为分析的工具。据我们所知，我们提供了第一个开源仿真平台，称为Open SOUrce Market Simulator（OSOUM），用于分析交易市场，尤其是数据市场。我们还描述并实现了一种特定的数据市场模型，该模型由两种类型的代理商组成：拥有各种可获取数据集的卖方，买家搜索相关且有益的数据集进行购买。当前的模拟将数据视为无限供应产品。但是，使用OSOUM可以轻松实现其他市场设置。尽管已经存在用于处理数据市场的商业框架，但我们提供了免费且广泛的端到端研究工具，用于模拟参与（数据）市场的买卖双方的可能行为。