数据管道模型:场外流式数据市场形态探索  

Data pipeline model:exploration of the overthe-counter form of streaming data

作　　者：任洪润 朱扬勇[1,2] REN Hongrun;ZHU Yangyong(School of Computer Science,Fudan University,Shanghai 200438,China;Shanghai Key Laboratory of Data Science,Shanghai 200438,China)

机构地区：[1]复旦大学计算机科学技术学院,上海200438 [2]上海市数据科学重点实验室,上海200438

出　　处：《大数据》2023年第3期15-28,共14页Big Data Research

基　　金：上海市科委发展基金资助项目(No.22DZ1200704)。

摘　　要：当前数据要素市场建设探索主要集中在数据交易场所(场内)建设,而流式数据市场指数据供应商向数据使用者持续、快速地供应特定数据的市场,流式数据并不适合在场内交易,因此需要探索流式数据的场外交易模式。研究了当前流式数据市场的运行现状,指出了市场无序、监管工具不足是存在的主要问题,提出了场外流式数据市场的数据管道模型,包括管道流通要件(数据管道、数据工厂、数据供应链)、市场规范要件(数据计量表、质量抽检器、合规审核仪)等,论证了数据管道模型的技术可行性,以期为场外数据市场建设、规范和监管提供理论和技术支持。The current exploration of data element market construction mainly focuses on the construction of data trading venues,while the streaming data market refers to the market in which data suppliers continuously and quickly supply specific data to data users.Streaming data is not suitable for transactions in the data trading venues,so the over-the-counter trading model of streaming data needs to be explored.After studying the current operation status of the streaming data market,it was pointed out that market disorder and insufficient regulatory tools were the main problems,and a data pipeline model for the over-the-counter streaming data market was proposed,including pipeline circulation elements(data pipeline,data factory,data supply chain),market regulation elements(data meter,quality sampling device,compliance auditing device),etc.The technical feasibility of the data pipeline model was demonstrated,and it provided theoretical and technical support for the construction,regulation and supervision of the over-the-counter data market.

关 键 词：数据市场 数据管道 流式数据 场外交易 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]