数据要素流通交易的可信指标及测度方法

摘要/Abstract

摘要： 数据要素流通交易环境复杂，参与主体类型多、交易过程环节多，潜在风险点既多又广，如何实现数据要素的可信流通交易成为制约数据要素安全高效流通交易的重要挑战之一。为此，本文首先基于数据要素流通交易领域11位专家的访谈数据和2018—2023年WOS核心数据库的119篇论文，通过LDA主题分析方法发现影响数据要素可信流通交易的关键因素，包括主体（participant）、数据（data）、合约（contract）和算法（algorithm）。其次，本文基于信任理论，通过文献检索确定了主体可信、数据可信、合约可信和算法可信的评估指标，并据此构建了PDCA可信框架。然后，采用AHP层次分析法对评价指标进行赋权，计算出数据要素可信流通交易的评估指标体系权重。最后，本文阐述了关键可信指标体系测度方法。本文研究成果对刻画和评估数据要素流通交易的可信水平，助力数据市场可信生态体系建设提供了重要理论依据。

关键词: 数据要素, PDCA, 可信指标, 可信流通交易

Abstract: The environment for the circulation and transaction of data elements is complex, involving various types of participants and numerous transaction process steps. There are numerous and diverse potential risk points, and achieving credible circulation and transaction of data elements has become an important challenge that restricts the safe and efficient circulation and transaction of data elements. To this end, based on the interview data from 11 experts in the field of data circulation and trading, as well as 119 papers from the Web of Science (WOS) core database from 2018 to 2023, this paper first identifies the key factors affecting the trustworthy circulation and trading of data elements through Latent Dirichlet Allocation (LDA) topic model. These factors include participant, data, contract, and algorithm, which are based on to construct a PDCA trustworthy framework. Then, trust theory is used to determine the evaluation indicators for trustworthy participant, trustworthy data, trustworthy contract, and trustworthy algorithm through a literature review. Subsequently, the Analytic Hierarchy Process (AHP) is used to assign weights to the evaluation indicators, calculating the weight of the evaluation index system for the trustworthy circulation and trading of data elements. Finally, the paper elaborates on the measurement of key indicators in the trustworthy indicator system. This research provides important theoretical and reference bases for characterizing and evaluating the credibility of data element circulation and trading, and for supporting the construction of a trustworthy ecological system in the data market.

Key words: data elements, PDCA, trustworthy indicator, credible circulation and transaction

刘业政, 宗兰芳, 周芦娟, 潘岳, 袁昆. 数据要素流通交易的可信指标及测度方法[J]. 管理评论, 2024, 36(12): 26-36.

Liu Yezheng, Zong Lanfang, Zhou Lujuan, Pan Yue, Yuan Kun. Trustworthy Indicators and Measurement Methods for the Circulation and Trading of Data Elements[J]. Management Review, 2024, 36(12): 26-36.

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