数据产品可信评价服务

数据产品可信评价服务包含评估对象、评估等级、评估特点、评估意义等内容：1.评估对象：对数据集、数据服务API、数据分析报告、数据信托四类数据产品进行评价。2.评估等级：依据可信数据产品评价指标对组织的数据产品进行全面的综合评价，计算各项能力的得分，最终得出数据产品的成熟度等级，成熟度等级分为：一级、二级、三级、四级和五级。3.评估特点：从企业、数据产品2个角度，结合国家现行的《GB/T 36344-2018 信息技术 数据质量评价指标》、《GB/T 37988-2019 信息安全技术 数据安全能力成熟度模型》、《GB/T 36073-2018 数据管理能力成熟度评估模型》，从多个维度进行，数据产品的可信评价。4.评估流程5.评估意义：通过数据要素市场可信产品评价准则的落地实施可以推动数据要素市场信用评价体系的建设，可以降低数据要素市场交易成本，增强各方互信的基础，提升数据提供方进场意愿，同时也可以推动企业提升数据管理能力、培训数据人才，从企业端压实责任，提升数据要素的质量、数量，保障数据要素的供给。

The Trustworthy Evaluation Service for Data Products covers the following core contents:
1. Evaluation Objects: Conduct evaluations on four types of data products, including datasets, data service APIs, data analysis reports, and data trusts.
2. Evaluation Levels: Carry out a comprehensive and holistic evaluation of an organization's data products based on the trustworthy data product evaluation indicators, calculate the scores of each capability dimension, and finally determine the maturity level of the data product. The maturity levels are divided into five tiers: Level 1, Level 2, Level 3, Level 4, and Level 5.
3. Evaluation Characteristics: Perform trustworthy evaluation of data products from multiple dimensions, based on two perspectives (enterprise and data product) and combining three current national standards: GB/T 36344-2018 Information technology — Evaluation indicators for data quality, GB/T 37988-2019 Information security technology — Maturity model for data security capabilities, and GB/T 36073-2018 Evaluation model for data management capability maturity.
4. Evaluation Process:
5. Evaluation Significance: The implementation of the trustworthy product evaluation criteria for the data element market will promote the construction of the credit evaluation system for the data element market, reduce transaction costs in the data element market, strengthen the foundation of mutual trust among all parties, and enhance the willingness of data providers to enter the market. Meanwhile, it can also drive enterprises to improve their data management capabilities and train data talents, fulfill responsibilities strictly from the enterprise side, improve the quality and quantity of data elements, and guarantee the supply of data elements.

搜集汇总

背景与挑战

背景概述

该服务对数据集、API、分析报告和数据信托四类产品进行可信度评级，依据国家标准从多维度划分五级成熟度，旨在建立数据要素市场信用体系，降低交易成本并提升数据质量。