摘要
随着质量时代大数据国家战略的确定,利用大数据建设质量诚信体系成为了质量提升关注的方法之一。质量诚信体系建设一直是我国政府努力的目标,它的主体是产品生产和提供商业化服务的企业,它的溯源点是信用信息。因此,质量诚信体系建设需要政府、企业和社会各界的共同参与。毫无疑问,在大数据时代,质量诚信体系建设有了更多的数据资源,更科学的信用评价方法,以及更高效的社会服务方式。但同时,大数据也带来了新的挑战。因此,通过建立新型的政企合作关系,依托质量诚信大数据,用顶层设计消除新的数字鸿沟,开展大数据精准质量管理,用科技的发展解决科技带来的安全挑战,是质量时代诚信体系建设的策略和方法。
with the determination of the national strategy of big data in the quality era,the use of big data to build quality integrity system has become one of the ways to improve quality concerns.The construction of the quality and integrity system has always been the goal of our government's efforts.Its main body is the production of products and the enterprises providing commercial services.The source of its traceability is credit information.Therefore,the construction of quality integrity system needs the participation of the government,enterprises and all sectors of society.There is no doubt that in the era of big data,the construction of quality integrity system has more data resources,more scientific methods of credit evaluation,and more efficient social service.But at the same time,big data also brought new challenges.Therefore,it is a strategy and method to build a good faith system in the quality age by establishing a new relationship between government and enterprise,relying on the big data of quality and integrity,eliminating the new digital divide by top level design,carrying out the precision quality management of large data,and solving the security challenges brought by science and technology with the development of science and technology.
作者
张彪
汪洋
刘兰凯
李键
Zhang Biao;Wang Yang;Liu Lankai;Li Jian(Institute of quality development Kunming University of Science and Technology,Kunming Yunnan,650093)
出处
《云南行政学院学报》
北大核心
2018年第5期128-132,共5页
The Journal of Yunnan Administration College
基金
2018教育部产学合作协同育人项目
云南省人才培养项目(KKSY201358020)
昆明理工大学人文社会科学研究培育项目(SKPYPY201644)
关键词
大数据探索
质量诚信
内涵和逻辑
策略和方法
Big data exploration
Quality integrity
Connotation and logic
Strategies and methods