[目的/意义] 选取国内外15家科学数据中心的科学数据质量评价指标，旨在筛选能够客观反映科学数据质量的共性指标，构建具有普适性的科学数据质量评价指标体系。[方法/过程] 采用文案调查法、网络调查法和内容分析法，对15家科学数据中心的科学数据评价指标进行梳理和分析，了解现有的科学数据机构的数据评价指标。[结果/结论] 基于科学数据生命周期管理的各个阶段构建一套由数据管理计划、数据收集管理、数据分析与加工管理、数据保存管理和数据共享利用管理5个维度组成的科学数据质量评价指标模型，为我国和地方科学数据中心建立面向决策的科学数据中心评价系统提供参考。
[Purpose/significance] The evaluation indexes of scientific data quality from 15 scientific data centers at home and abroad are mainly selected in order to screen the common indexes that can objectively reflect the quality of scientific data and build a universal evaluation index model of scientific data quality. [Method/process] By using the methods of document investigation, web survey and content analysis, the evaluation indexes of scientific data of 15 scientific data centers were sorted out, and the evaluation indexes of existing scientific data institutions were understood. [Result/conclusion] It structures a scientific data quality evaluation index framework based on 5 phases of data lifecycle management, which comprise data management plan, data collection management, data analysis and processing management, data storage management, data sharing and utilization management, and then provides a reference for the establishment of decision-oriented evaluation system of scientific data center in China and local scientific data centers.
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