全景式大数据质量评估指标框架构建研究

Construction of panoramic big data quality evaluation indicator framework

大数据质量评估工作是促进数字经济、数字社会、数字政府高质量发展的重要保障.本研究针对当前大数据质量评估指标缺少标准化文件来源和全景式评估的相关问题,梳理出大数据质量评估的多种应用场景,以综合集成方法论为指导提出由“人理-事理-数理-机理”(HBDA)构成的全景式大数据质量评估视角.采用内容分析和编码方法,以大数据质量相关标准化文件丰富指标来源的代表性文献,经过3名研究人员的两轮筛选,构建出由56个指标构成的全景式大数据质量评估指标框架.采用案例研究法,开展B市国际大数据交易所、B市城市管理综合行政执法局和B市大数据中心三个实践案例研究,有效验证了该框架的正确性和可用性.所提出的HBDA视角下全景式大数据质量评估指标框架,拓展了全景式PAGE框架在大数据质量评估多场景中的应用;创新了大数据质量评估多维标准化协同的路径;对整体提升数字经济、数字社会和数字政府建设中的大数据质量具有战略意义,对增强数字国家的数据治理能力、大数据驱动的管理与决策能力具有指导意义.

Big data quality evaluation is an important guarantee for the high-quality development of digital economy,digital society and digital government.In view of the lacking of guidance of standardized document source and panoramic evaluation for current big data quality evaluation indicators,this paper summarizes the scenarios of big data quality evaluation application.Guided by Meta-synthesis,this paper proposes a panoramic big data quality evaluation perspective composed of“Human-Business-Data-Artifact”(HBDA).Content analysis,coding and case study methods are employed.Based on the representative literatures,a comprehensive big data quality evaluation indicator framework consisting of 56 indicators is constructed after two rounds of screening by three researchers.Then,big data quality evaluations are discussed in three practical case studies:B-City International Data Exchange,B-City Municipal Bureau of Coordinated Administrative Law Enforcement for Urban Management and B-City Big Data center.The case study result effectively supports the correctness and usability of the framework.The proposed indicator framework extends the application of the panoramic PAGE framework in multiple scenarios of big data quality evaluation and innovates the multi-dimensional standardized collaborative path of big data quality evaluation.It is of strategic significance to the overall improvement of big data quality in the construction of digital economy,digital society and digital government,and it is of guiding significance to enhance the data governance capacity,big data-driven management and decision-making capacity of digital China.