Contemporary mainstream big data governance platforms are built atop the big data ecosystem components,offering a one-stop development and analysis governance platform for the collection,transmission,storage,cleansing...Contemporary mainstream big data governance platforms are built atop the big data ecosystem components,offering a one-stop development and analysis governance platform for the collection,transmission,storage,cleansing,transformation,querying and analysis,data development,publishing,and subscription,sharing and exchange,management,and services of massive data.These platforms serve various role members who have internal and external data needs.However,in the era of big data,the rapid update and iteration of big data technologies,the diversification of data businesses,and the exponential growth of data present more challenges and uncertainties to the construction of big data governance platforms.This paper discusses how to effectively build a data governance platform under the big data system from the perspectives of functional architecture,logical architecture,data architecture,and functional design.展开更多
Data is a key factor of production in the so-called"digital economy"era.Thus,it is important to promote government data opening and sharing to advance the high-quality development of a digital economy.The ar...Data is a key factor of production in the so-called"digital economy"era.Thus,it is important to promote government data opening and sharing to advance the high-quality development of a digital economy.The article first constructs an evolutionary game model of government data opening and sharing(with local governments and enterprises as game participants)by combining realistic scenarios and evolutionary game models.Then,it discusses the evolutionary stabilization strategies under different scenarios in a categorical manner.Finally,it uses MATLAB to conduct numerical simulations to verify the accuracy of the model and analyze the key influencing factors.Several results were obtained.(1)the optimal evolutionary path to promote government data opening and sharing is for enterprises to choose to"use data"and for local governments to choose the"positive sharing"strategy,and the enterprises'decision is the internal driver.(2)The value of data assets provided by local governments when applying the"positive sharing"strategy,the cost of data used by enterprises,and the data value conversion rate of enterprises are the key factors influencing the decisions of both parties.To promote open sharing and exploitation of government data,enterprises should enhance their independent innovation capabilities,while governments should enhance the value of data assets and continuously optimize their business environments.展开更多
地方政府跨部门数据共享面临“不愿共享”“不敢共享”“不会共享”等诸多挑战,而学界从行政管理、数据治理和信息技术三个角度出发构建的“权力—权益—信息”三维协同机制无法阐释“纵强横弱”的实践悖论,缺少对多元行动主体与数据共...地方政府跨部门数据共享面临“不愿共享”“不敢共享”“不会共享”等诸多挑战,而学界从行政管理、数据治理和信息技术三个角度出发构建的“权力—权益—信息”三维协同机制无法阐释“纵强横弱”的实践悖论,缺少对多元行动主体与数据共享行为的过程分析。论文沿着“行为—机制”框架,借助理性行为理论(Theory of Reasoned Action, TRA),尝试将多元行动主体划分为决策层、管理层、操作层,构建基于行为态度与共享认知、主观规范与关注焦点、行为意愿与互动策略的分析框架,分别从社会效益、组织效益以及个人效益的角度构建多元行动主体共享认知体系,并分析其在政府跨部门数据共享中的关注焦点。研究表明在治理创新与预期收益权衡中决策层面临认知分歧、在利益受损与潜在风险并存中管理层面临利益冲突、在成本投入与收益补偿博弈中操作层面临激励缺位,这造成了跨部门政府数据共享的治理困境,由此导致多元行动主体采取推动/弱化、合作/抵制、配合/应付等互动策略,最终形成了跨部门数据共享的实际运行效果。展开更多
文摘Contemporary mainstream big data governance platforms are built atop the big data ecosystem components,offering a one-stop development and analysis governance platform for the collection,transmission,storage,cleansing,transformation,querying and analysis,data development,publishing,and subscription,sharing and exchange,management,and services of massive data.These platforms serve various role members who have internal and external data needs.However,in the era of big data,the rapid update and iteration of big data technologies,the diversification of data businesses,and the exponential growth of data present more challenges and uncertainties to the construction of big data governance platforms.This paper discusses how to effectively build a data governance platform under the big data system from the perspectives of functional architecture,logical architecture,data architecture,and functional design.
基金the Major Programs of the National Social Science Foundation of China(No.19ZDA348).
文摘Data is a key factor of production in the so-called"digital economy"era.Thus,it is important to promote government data opening and sharing to advance the high-quality development of a digital economy.The article first constructs an evolutionary game model of government data opening and sharing(with local governments and enterprises as game participants)by combining realistic scenarios and evolutionary game models.Then,it discusses the evolutionary stabilization strategies under different scenarios in a categorical manner.Finally,it uses MATLAB to conduct numerical simulations to verify the accuracy of the model and analyze the key influencing factors.Several results were obtained.(1)the optimal evolutionary path to promote government data opening and sharing is for enterprises to choose to"use data"and for local governments to choose the"positive sharing"strategy,and the enterprises'decision is the internal driver.(2)The value of data assets provided by local governments when applying the"positive sharing"strategy,the cost of data used by enterprises,and the data value conversion rate of enterprises are the key factors influencing the decisions of both parties.To promote open sharing and exploitation of government data,enterprises should enhance their independent innovation capabilities,while governments should enhance the value of data assets and continuously optimize their business environments.
文摘地方政府跨部门数据共享面临“不愿共享”“不敢共享”“不会共享”等诸多挑战,而学界从行政管理、数据治理和信息技术三个角度出发构建的“权力—权益—信息”三维协同机制无法阐释“纵强横弱”的实践悖论,缺少对多元行动主体与数据共享行为的过程分析。论文沿着“行为—机制”框架,借助理性行为理论(Theory of Reasoned Action, TRA),尝试将多元行动主体划分为决策层、管理层、操作层,构建基于行为态度与共享认知、主观规范与关注焦点、行为意愿与互动策略的分析框架,分别从社会效益、组织效益以及个人效益的角度构建多元行动主体共享认知体系,并分析其在政府跨部门数据共享中的关注焦点。研究表明在治理创新与预期收益权衡中决策层面临认知分歧、在利益受损与潜在风险并存中管理层面临利益冲突、在成本投入与收益补偿博弈中操作层面临激励缺位,这造成了跨部门政府数据共享的治理困境,由此导致多元行动主体采取推动/弱化、合作/抵制、配合/应付等互动策略,最终形成了跨部门数据共享的实际运行效果。
