Designing and Implementing an Advanced Big Data Governance Platform

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.

Big Data in Chinese Government Governance: Analysis of Decision-Making Model Innovation and Practice

The 19th National Congress of the Communist Party of China has put forward higher requirements for Chinese government governance. The government governance has developed to a higher stage. Meanwhile, it faces more challenges, like lack of top-level design and information sharing. To develop a government governance decision-making innovation model, we should make good use of big data to mine in the grassroots government data management network. Both the characteristics of the times and the experience of the practice have proven that big data can empower government governance and promote the construction of a service-oriented government.

Big Data Framework for Kenya’s County Governments

Digitalization is transforming governments across the globe. At the national level, down to regional and multiple departments in the public institutions, unprecedented change is occurring exponentially as a result of massive digitalization. Digitalization is compelling governments at all levels to embrace voluminous data and institute appropriate multi-channel platforms to support digital transformation. While this is the case, most governments have been caught unprepared thwarting maximum benefits spurred by digitalization. Inherently, the social media and e-participation tools for generating huge amount of data have convoluted most governments’ appetite in Big Data management. This situation is further compounded with the slow pace of adoption of these technological tools by citizens and the public sectors. For enhanced e-citizen satisfaction and engagement, as well as e-participation processes, public institutions need to promote engagement and collaboration. In view of advancing benefits to their citizens, public institutions need to institute appropriate measures to collect citizen’s data. The information collected is vital for public institutions in actualizing what services the citizens want. Using literature reviews and cases, the authors examine Big Data benefits in counties and propose a Big Data model to improve efficiency of e-governance services and productivity in county governments. The authors demonstrate Big Data framework has the aptitude of molding citizen’s opinion in county decision making process. Better use of e-technologies is shown in the proposed model which illustrates sharing resources among various data analytics sources. Our proposed framework based on Big Data analytics is a viable initiative to progress effectiveness and productivity, strengthen citizen engagement and participation and encourage decision-making in e-governance services delivery in the counties.

Role of Trust, Privacy Concerns and Data Governance in Managers’ Decision on Adoption of Big Data Systems

This paper investigates the role of trust, privacy concerns, and data governance on managers’ intention to use big data systems. In literature, trusting beliefs, such as functionality, helpfulness, and reliability were found to be antecedent of trust in technological artifacts. Notice, access, choice, and security principles were found to be crucial in eliminating privacy concerns. On the other hand, this paper focuses on data storage and data collection which have been significant criterion for managers in evaluating companies’ data governance policies. A model depicting the relationships amongst all these factors and their relation to users’ intention to adopt big data systems and a scale was proposed in the paper.

Environmental Information Governance Reform in the Era of Big Data--From Information Disclosure to Public Service

The development of environmental information governance includes three phases: providing for oneself,information disclosure,and public service. And then China is in the transition and transformation of environmental information disclosure to the environmental information public service. The core of the transformation is public participation,in the whole procedure of environmental information supply decision making,production,and quality supervision and evaluation,etc. The target path of the environmental information governance reform includes five parts: improvement of public satisfaction,optimizing information disclosure,information quality control,integration of information resources,and multiple supply.

Open Source Initiatives for Big Data Governance and Security:A Survey

With the rapid development of lnternet technology, the volume of data has increased exponentially. As the large amounts of data are no longer easy to be managed and secured by the owners, big data security and privacy has become a hot issue. One of the most popular research fields for solving the data security and data privacy is within the scope of big data governance and security, In this paper, we introduce the basic concepts of data governance and security. Then, all the state-of-the-art open source frameworks for data governance and security, including Apache Falcon, Apache Atlas, Apache Ranger, Apache Sentry and Kerberos, are detailed and discussed with descriptions of their implementation principles and possible applications.

Research on Governance Structure of Big Data of Civil Aviation

Facing with the enormous data scale of the civil aviation industry, the vital issue that enterprises must consider is how to manage and make use of data to play its value. In this study, the content of the governance of big data of civil aviation is analyzed and this paper put forward the specific governance of big data resources of civil aviation to provide relevant support of the governance of big data resources of civil aviation.

College Basic Development Status Data Management System Based on Data Governance Framework

In the era of big data, data application based on data governance has become an inevitable trend in the construction of smart campus in higher education. In this paper, a set of data governance system framework covering the whole life cycle of data suitable for higher education is proposed, and based on this, the ideas and methods of data governance are applied to the construction of data management system for the basic development status of faculties by combining the practice of data governance of Donghua University.It forms a closed-loop management of data in all aspects, such as collection, information feedback, and statistical analysis of the basic development status data of the college. While optimizing the management business of higher education, the system provides a scientific and reliable basis for precise decision-making and strategic development of higher education.

“开放数据”(Open Data)的基本逻辑——以NYC Open Data为样本

为了加强政府的责任和响应能力,提高公共机构的运作水平和相互之间的协同效率,回应公众对公共数据的需求,创造新的经济机会,一些政府以立法的形式,正在运用最新的大数据技术建设开放数据系统。系统所体现的知识开放性的科学规范尊重,建设者缜密的计划,公开而严格的技术标准,以及高度的开放性和互动性,给我们提供了极佳的启示。

面向用户服务的美国政府开放数据研究及启示——以美国Data.gov网站为例

[目的/意义]随着大数据时代的到来,拥有丰富数据的各国政府开始从信息公开走向数据开放。作为一种新的潮流和趋势,各国政府在进行政府数据开放时,应顺应Web2.0时代的要求,以用户为中心,以公众的需求为导向,面向用户提供服务。通过对美国政府开放数据网站面向用户服务的研究,结合我国的实际情况,阐述该网站对我国政府数据开放的启示。[方法/过程]从各国的实践来看,美国的国家级政府开放数据平台Data.gov为各国提供了很好的学习案例。以Data.gov网站的板块设置为依据,从"数据提供""数据检索""数据利用"以及"与用户的交流与互动"4个层面对该网站面向用户提供的服务进行了详细介绍与分析。[结果/结论]对我国的启示有:建设一站式的政府数据开放平台;基于用户需求逐步开放政府数据;以用户为中心,提升用户体验;鼓励用户参与,发挥数据价值;将数据开放纳入政府工作绩效评估体系。

基于DataOps的运营商大数据平台探索

在数字经济时代下,数据成为运营商的核心资产,DataOps是释放数据价值的有效模式,而大数据平台是实现DataOps的技术基础。通过对DataOps与大数据平台的发展进行梳理,阐述了DataOps的内涵,提出DataOps应用于运营商大数据平台的方法,并构建了基于DataOps的运营商大数据平台架构。

Reconstructing the Data Crime Governance Model from the Perspective of Criminal Compliance

With the advent of the risk society and the era of big data,criminal law must respond to data crime in a more proactive manner.The traditional way of conviction and sentencing adopted by the current criminal law for data crime can no longer meet the requirements of the times.Compliance should be introduced into criminal law to improve the governance system of data crime.There are three ways to incorporate compliance into criminal law:(1)as the exemption cause of enterprise crime;(2)as the general circumstances of sentencing in the General Provisions of Criminal Law of the People’s Republic of China;(3)as the special circumstances of sentencing in the Specific Provisions of Criminal Law of the People’s Republic of China.The latter two approaches are more suited to China’s national conditions.

政府数据开放到公共数据开放的嬗变

[目的/意义]分析政府数据开放到公共数据开放的嬗变有利于数据开放活动的健康发展,促进数据要素流通。[方法/过程]在梳理政府数据开放和公共数据开放两者关系基础上,从创新扩散理论出发分析嬗变的三维度表现及嬗变动力。[结果/结论]嬗变动力共有技术、组织和环境三个维度下的9个关键驱动因素,并提出了6个嬗变的趋势。

从技术赋能到整体重塑:公共体育服务数字化治理的模式重构、组织变革及推进机制

数字时代我国公共体育服务从“技术赋能”到“整体重塑”的数字化进程被视为一个重塑多元主体治理关系及其能力的演变历程,对于提高公共体育服务供给效率具有重要意义。运用文献资料法、逻辑分析法等厘清了公共体育服务数字化治理的基本内涵及现存困境,重新审视了其模式重构的核心维度,深入阐释了其组织变革的动因特征,重点讨论了其推进机制的实践要素。研究认为:理念重构、价值重构、方式重构等形成模式重构的核心维度;管理思维转换、运行范式转换、决策方式转换等构成组织变革的动因特征;管理机制、考核机制、协调机制等为推进机制的实践要素。

中国疾病预防控制中心信息系统整合共享实践分析

目的/意义推进政务信息系统整合共享,以降低政府治理成本,实现治理体系和治理能力现代化。方法/过程以中国疾病预防控制中心信息系统整合共享工作为例,详细阐述整合路径及工作成效,对整合共享的难点和对策展开分析和探讨。结果/结论基于全民健康信息化建设,明确“统筹布局,共建共享”的总体要求,探索以大数据技术为抓手,实现数据的融合与应用,构建数字疾控新发展格局。

数字政府建设背景下江苏省农产品质量安全大数据平台构建与应用研究

本文旨在探讨数字政府背景下,如何构建和应用农产品质量安全大数据平台。文中探讨了数字政府与农产品质量安全大数据平台之间的关系。数字政府的概念的提出与建设将为农产品质量安全大数据平台提供有力支持和可靠保障,并对农产品质量安全平台的建设产生了积极影响;对国内外农业大数据发展情况进行了比较和分析,总结了农业大数据融合发展的经验和启示;提出了数字政府背景下农产品质量安全平台建设的总体构想并且详细讨论了平台的架构和大数据分析模型中的关键点。随后,本文还提出了大数据平台运营保障措施与政策建议,以确保平台的顺利运营和发展。最后本文总结了数字政府背景下农产品质量安全大数据平台构建与应用的研究内容,并展望了进一步的研究方向。

煤矿灾害预警数据集成管理平台研究与应用

针对深部矿井地质的复杂性与灾害的多样性,开展基于海量数据驱动的深部矿井无人化、智能化监测预警技术与装备研究是提高深部煤矿开采安全保障的有效途径。然而,目前煤矿监测系统间关联性差、数据利用率低、数据深入智能分析不够,导致煤矿防灾措施实施针对性差,可能存在防灾措施不到位或过量的现象。针对煤矿灾害监测预警的需求,提出了煤矿灾害监测预警大数据平台架构,设计了结构数据、非结构数据、时序数据等异构数据的混搭数据存储方案,从数据汇集、数据质量、数据融合、数据指标等方面设计煤矿监测数据治理方法,并提出面向煤矿灾害预警应用的多租户数据集市构建技术,从而支撑煤矿灾害分析应用的多样化数据需求。

暗数据视角下高校图书馆数据治理策略研究

研究探讨高校图书馆的数据管理问题可为图书馆的数据应用开拓新思路。文章运用网络调查法与文献分析法回顾了暗数据研究进展,归纳总结出高校图书馆暗数据的内涵、成因、价值与构成,从暗数据视角研究探讨高校图书馆数据治理策略。根据高校图书馆数据的特点构建高校图书馆暗数据治理框架,以建立系统化的数据中心为核心,以专业化的数据馆员、智能化的数据提取和规范化的数据标准为支撑,通过严格的数据质量和数据安全管控,从数据层、保障层、治理层到应用层四个层面,实现对图书馆各类数据全生命周期的统一管理与揭示。

数据赋能县级融媒体参与基层治理的实践逻辑与优化路径

县级融媒体参与基层治理源于媒体自身的发展需求,也与基层治理实践的现实需要及信息技术发展的时代驱动密切相关。数据对于提升参与治理的效能具有重要价值,通过数据标识汇集媒体资源,通过数据智能实现关系匹配,通过数据预测驱动科学决策,通过数据评估完成全面连接,塑造了数据驱动县级融媒体参与基层治理的现代图景。文章认为,通过提升大数据的全面性与准确性、创设多元主体参与的良性体系、激发大数据活力深度融入治理、推动媒介技术与人类智慧融合共创,以此提升作为县域治理平台的县级融媒体参与基层治理的综合效能。