Use Big Data Thinking and Methods to Enhance the Government’s Governing Capacity

Posted on

Seeking Truth 2016/12

Chen Gang

Key points:

– In the present era, data has become a national basic strategic resource, bug data is gaining an ever more important influence on the operational mechanisms of the global economy, society’s way of life and national governing capability. The Party Centre and the State Council are giving the development of big data and innovation of application in high regard, and the 5th Plenum of the 19th Party Congress clearly put forward the implementation of the national big data strategy.

– The scientific and technological revolution is moving forward rapidly, which is especially due to the advent of big data era, which urgently requires governmental governing to transform from closed management to open governance, from unidirectional management to coordinated governance, from passive influence to active service, from qualitative management to quantitative management, from extensive management to detailed management, from operational management to conventional management, and so to realize a transformation of social governance thinking, improvement in social governance methods, progress of governmental policymaking technology, the upgrading of risk control capacity, the recreation of public management workflows, and the enhancement of social coordination in governance.

– We are entering the Internet era and the big data era, public goods and public services must progressively transform from being “supply-oriented” to being “demand oriented”, from focusing on “service coverage” to focusing on “service experience”, and from focusing on “passive provision” to “active provision”.

– The first step to enhance the government’s governing capacity with big data is to transform the traditional concentration of work in offices, and the paper transmission of public documents between different departments into paperless, networked and virtualized new methods, ensure the informatization of public affairs workflows, and use the Internet to realize the online operation of governmental affairs.

– What we must guard against is that, if there is no openness and sharing of cross-regional, high-quantity, specialized data, using big data to upgrade the government’s governing capability is an empty phrase; but if we completely fail to differentiate which data should be opened op or not, it may bring great privacy and secrecy leaks, and the disaster of great economic fluctuations.

 

In the present era, data has become a fundamental national strategic resource, and big data is becoming ever more of an important influence on global economic operating mechanisms, ways of social life and state governance capability. The Party Centre and the State Council have given high regard to big data development, innovation and application, the fifth Plenum of the 19th Party Congress clearly put forward the implementation of a national big data strategy. The State Council’s “Action Plan to Stimulate the Development of Big Data” puts forward that big data has become “a new channel to enhance governments’ governing capacity”. This requires governments of all levels to establish big data thinking, use big data methods to promote the progress of governmental management concepts and social governance models, and realize the modernisation of the state’s governance system and governance capability.

I, Big data is a completely new juncture for government’s enhancement of governance capability.

Big data not only change ways of production and ways of life, ways of organizing society and especially governmental governance will also see profound changes because of it. A trend where by big data is forcing government to enhance its governance capability us currently forming, the governmental use of big data has already become a major trend in big data innovation and application. We can absolutely not avoid this.

Enhancing governmental governance capacity faces grave challenges. At present, our country is in a crucial period of development, a period of reform and assault, a period of prominent contradictions, and governmental governance faces a great number of new challenges and new circumstances. From the angle of the present development conditions, industrialization, urbanization and informatization are moving forward rapidly, the problems that urban-rural development is not balanced and regional development is not coordinated are prominent, large numbers of “work unit people” are transforming into “social people”, large numbers of permanent residents are changing into a floating population, social structures and interest structures are seeing profound change, the scale and kinds of public affairs that government needs to deal with and respond to are growing greatly in quantity, the degree of complexity is unprecedented, traditional governance models face grave challenges. From the angle of the needs of the masses, following the progressive improvement in material life conditions, and especially the broad use of the Internet and big data, the demands of the popular masses on governmental services and social protection have come to have new characteristics of individualization and diversification, more demands are placed on the sense of experience, the sense of participation and the level of detail in services, the existing “old ways” that stressed standardized service are also facing the “new problems” of diversified and individualized demands.

Using big data to enhance governmental governance capacity is an overall trend. The acceleration of the scientific and technological revolution and especially the advent of the big data era urgently require that governmental governance accelerates the transformation from closed management to open governance, from unidirectional management to coordinated governance, from passive response to active service, from qualitative management to quantitative management, from rough management to accurate management, from operational management to conventional management, and so to realize a transformation in social governance thinking, an improvement in social governance method, progress in governmental policymaking science, an enhancement of risk control capability, a reconstruction of public management processes, and a new step forward in social coordination and governance. Big data will become the most important and most powerful driver to accelerate the modernization of governmental governance capacity. Through big data thinking, scientific policymaking, detailed management and detailed services based on big data will become the normal situation, and will greatly promote the progress of governmental management ideas and social governance models, they will move forward the construction of a rule of law government, an innovative government, a clean government, a smart government and a service-oriented government, and progressively realize the modernization of governance capacity.

There are successful cases of using big data to enhance government’s governing ability. Facts demonstrate that government departments can, through using big data, substantially increase their productivity and work efficiency, and effectively reduce management cost. in recent years, a number of localities and departments vigorously promoted the governmental use of big data for development, and gained early successes. For instance, Guizhou grasped the opportunity of big data development, and at the same time as forcefully developing big data and its connected industries, strove to build mutual governmental data sharing platforms, which promoted the integration and sharing of governmental data, it incessantly excavated the value of big data in enhancing government’s governance capacity and protecting and improving the people’s livelihoods, especially in terms of creatively putting forward data tracking and comprehensive analysis of the overall process of exercise of power, it gained initial results in practice, and enhanced government’s administrative capacity and transparency of the exercise of power.

II, Some considerations on using big data to enhance governmental governance capacity

The prospects for the application of big data in governmental governance are broad, and its usage value is huge, it is crucial to build a set of completely new mechanisms to “use data to speak, use data to make policy, use data to manage, and use data to innovate”.

The use of big data boosts a seamless constraint of power. In supervising and managing power, the key lies in weaving a “cage” to constrain power. Realize seamless constrains on power means realizing a normalization and standardization of supervision over power, and realizing that there are no forbidden zones, coverage is complete and there is zero-tolerance, forcing government to consciously standardize and constrain the use of power. Government should, with the help of big data methods, create records of the data created in the complete process of exercising power, and comprehensively analyse the, in order to timely discover and control possibly existing risks, unearth and analyse the probability that improprieties, chaotic acts and corrupt conduct occur, and clues for them, and through practice, incessantly ensure that this exploration becomes ever more rational, standardized and scientific, thereby creating a seamless “iron data cage”, perfecting power supervision and technological anti-corruption systems, and enhancing the efficiency of government as well as governance capacity.

The use of big data boosts the scientization of government policymaking. At present, because of the fact that considerations in government policymaking and policy implementation are numerous and complex, it is ubiquitous that all kinds of contradictions are intertwined and all kinds of changes mix together. Policymaking that lacks data support, and especially policymaking based on experience often “focuses on one thing while losing sight of the other”, and is insufficiently scientific and farsighted. Government should, with the help of big data methods, use correlative data analysis, mathematical model-building, virtual simulations and even artificial intelligence technologies, to conduct modular analysis and policy simulations on the basis of broad and high-quantity data, in order to provide policymaking with a more systematic, accurate and scientific basis for reference, provide policy implementation with more complete and reliable real-time tracking, promote an analytical transformation in government policymaking from experiential and estimate-based policymaking to data analytics-based policymaking, and in the end realize a reconstruction of governmental policymaking mechanisms.

The use of big data boosts the accuracy of government affairs management. In the face of ever more complex changes in social affairs, traditional management thinking has often remained stuck in areas including expanding organizations, increasing staff and increasing budgets, informatized methods are used insufficiently, and we stop at coarse management. Government should conduct governmental management with the help of big data methods, ensure the intersection and convergence od all kinds of data, concerning market supervision and management, inspection and quarantine, law-breaking and violations of trust, consumer protection, judicial trials, etc. through data “tracking” and correlative analysis, meticulously grasp the true situation of enterprises and individuals, accurately grasp and timely discover problems, and so further enhance the accuracy and focus of government supervision and management. At the same time, through deep data excavation and analysis, forecasts and early warnings can be generated concerning the activities and tendencies of market subjects as well as the risk of violations of regulations and the law, stimulating governments to, on the basis of cross-departmental data sharing and joint operations, respond in real time, deal with public incidents and the public’s appeals, carry out precision attacks against all kinds of law-breaking activities, ensuring that we move from intervention and response to advance forecasting and dealing with matters before they occur.

The use of big data boosts the diversity of public services. In the past, government public services often pursued uniformity, broad coverage, and “one size fits all”, this easily overlooked the diversity of the masses and their divergent pursuits. Entering the Internet era and the big data era, public products and public service must progressively transform from being “supply-oriented” to being “demand-oriented”, from stressing “service coverage” to stressing “service experience”, and from “passive provision” to “active provision”. Governments should, with the help of big data means, and at the same time as reducing public service costs, open up broad spaces for diversified services, thereby forcing innovation in government service models, ensuring that healthcare, care for the elderly, poverty relief, social assistance and other such public services become much more detailed and individualized, ensuring that smart healthcare, smart education, smart care for the elderly, etc., become reality.

The use of big data boosts the plurality of governance models. Following the collection and convergence of vast quantities of data as well as the broad application of big data thinking and means, government is required to accelerate the shift of governance models from unitary to plural, and to realistically enhance public governance capacity, good governance capacity and comprehensive governance capacity. For instance, it is necessary to steadily move forward with opening up public data resources, data openness will not only guarantee the public’s right to know, it will also promote a locality’s economic and social development, and create the basic support for innovation and entrepreneurialism. We should accelerate the promotion of a transformation from government being “one large independent clan” to “government prepares the stage, society sings the harmony”, ensuring that the idea of joint construction and joint governance enters into people’s hearts ever more deeply, and that a coordinated governance structure and setup of government and society, that is networked, operates in real time and across multiple dimensions, is created. What must be strengthened is that, at the same time that data provision for government governance is convenient, it may also bring challenges to personal privacy, corporate secrets, government credibility and even national security. Government must strengthen its initiative and its driving role, and must forcefully promote data openness and sharing, and at the same time do the utmost to guarantee data security.

III, The main technological roadmap for using big data to enhance government governance capacity

The use of big data to enhance government governance capacity is a new animal, we must dare to think and dare to try, use new ways of thinking and new technologies to open up new roadmaps and new dimensions, and open up a new journey for the governmental use of big data for development.

Laying down an infrastructure basis. The first step for using big data to enhance government governance capacity is that it is necessary to transform the traditional way of doing concentrated businesses in offices, where paper documents are transmitted between different departments, into a new paperless, networked and virtualized way, realizing informatization of government affairs workflows, and using the Internet to realize the online handling of government affairs. What must be pointed out is that informatization against the background of big data is different from government projects in the past, it is certainly not a simple transfer of government and administrative processes from material space to cyberspace, but it is providing a basis and a platform to reconstruct government affairs workflows through data. Because of this, from the start, it is necessary to give high regard to issues such as the source, security and collection of data, to make technological and institutional arrangements in advance, and lay a good basis for the next phase of work. This can be called “informatization.

Strengthening data linkages. The value of big data lies in the size of data, and lies in the extent to which it is interconnected. The second step for enhancing government governance capacity with big data is raising the structuralization levels of data and recording the process of the use of power through the footprints of data, in order to find connections between data. In contrast to informatization, this step stresses the realization of data tracking, data collection, data correlation, data analysis and data intelligence, in order to systematically enhance government efficiency and credibility. This requires that we must see data as a starting point and a stopover point in dealing with problems, start from a top-level design, unify data standards, provide data access point, and with the help of new technological means, incessantly enhance the structuralization levels of data and the extent of data assembly, thereby conducting ever quicker, ever better and ever stronger converged data analysis, for the purpose of improving services and optimizing workflows. This step can be called “datafication”.

Moving forward with automatic workflows. The standard for the strength or weakness of governance capacity lies in whether or not it can be rapid and efficient. The third step for using big data to enhance government’s governance capacity is to realize automatized workflow management for computers concerning data. This includes five segments: first, the datafication of identity, which means that people and organizations are datafied, to ensure that their identity can be recognized and confirmed, and groups connected to problems can be found out; second, the datafication of activities, which means datafying all kinds of activities of people and organizations, tracking the activities connected to the identities a number of defined trackees, and so to grasp laws and the causes for activities; third, the correlation of data, which means conducting correlative analysis of data concerning the identities and activities of individuals and organizations, to unearth the correlative relationships between people and objects, as well as between objects themselves; fourth, the datafication of thoughts, which means researching the datafied expression and recording of the thoughts behind the activity data of people and organizations, and so to analyse motives, objectives and profound physiological responses; fifth, the datafication of forecasting, which means activating data on the basis of collecting all kinds of data, in order to forecast future developments and find out points of risks or weak segments. Throughout the above segments, human intervention is not necessary, and an automatization and smartification of government service workflows will be realized. This can be called “workflow automation”.

Realizing cross-border convergence. The quintessence of Internet thinking lies in crossing borders and convergence. The fourth step in using big data to enhance government’s governance capacity is using many kinds of methods, including administrative coercion, adjustment of interests, etc., to smash “isolated data islands”, realize that data is opened according to need, according to contract, in an orderly and secure manner, and creating cross-departmental data sharing mechanisms that are continuously both open and closed. What requires attention is the fact that if there is no cross-area, large quantity and specialized open data sharing, using big data to enhance government governance capacity is an empty phrase; but if all data is made completely open without any distinction, it may bring about leaks of private information and secrets, and disastrous major economic tides. Because of this, data openness and sharing must have boundaries, rules, and measures. It may be explored to stipulate the scale of openness and sharing, level, form of display, use time limits and other matters in advance through contractual means, and conduct supervision and management of the usage of a counterpart’s open information through corresponding laws and contracts, thereby realizing a balance between the need for data openness, and the need for privacy and security protection. This can be called “convergence”.

According to these “four work methods” of informatization, datafication, workflow automatization and convergence, in recent years, Guiyang City has kept a close watch on the three questions, “where is the problem, where is the data, and where are the methods”, with the help of big data methods, it has built the beginnings of mechanisms to effectively supervise the use of power and enhance governments’ governance efficiency. The task of enhancing governmental governance capacity with big data is grave and the road is long. We must broadly concentrate forces from all sides, further clarify the development orientation and smoothen the development path, and jointly build a beautiful tomorrow of enhancing government’s governance capacity through big data.

(The author is a Standing Committee member of the CCP Guizhou Provincial Committee and the Party Secretary of Guiyang City)

 

运用大数据思维和手段提升政府治理能力

《求是》2016/12  作者:陈 刚

核心要点:
■当今时代,数据已成为国家基础性战略资源,大数据正日益对全球经济运行机制、社会生活方式和国家治理能力产生重要影响。党中央、国务院高度重视大数据发展及创新应用,十八届五中全会明确提出实施国家大数据战略。
■科技革命的加速推进特别是大数据时代的到来,迫切要求政府治理加快由封闭管理向开放治理转变,由单向管理向协同治理转变,由被动响应向主动服务转变,由定性管理向定量管理转变,由粗放管理向精准化管理转变,由运动式管理向常规性管理转变,由此实现社会治理思维的变革、社会治理手段的改进、政府决策技术的进步、风险掌控能力的提升、公共管理流程的再造、社会协同治理的进阶。
■进入互联网时代、大数据时代,公共产品和公共服务必须逐步从“供给导向”向“需求导向”转变、从重“服务覆盖”向重“服务体验”转变、从“被动提供”向“主动提供”转变。
■以大数据提升政府治理能力的第一步,是要把传统的办公室集中办公、纸质公文在不同部门之间传递的方式改造为无纸化、网络化、虚拟化的新方式,实现政务流程信息化,并运用互联网实现政务网上运行。
■需要警醒的是,如果没有跨领域、海量性、专业化的数据开放共享,以大数据提升政府治理能力就是一句空话;但如果一股脑不加辨别地将所有数据全面开放,则可能带来隐私机密大泄露、经济大波动的灾难。

当今时代,数据已成为国家基础性战略资源,大数据正日益对全球经济运行机制、社会生活方式和国家治理能力产生重要影响。党中央、国务院高度重视大数据发展及创新应用,十八届五中全会明确提出实施国家大数据战略。国务院印发的《促进大数据发展行动纲要》指出,大数据已成为“提升政府治理能力的新途径”。这就要求各级政府树立大数据思维,借助大数据手段推动政府管理理念和社会治理模式进步,实现国家治理体系和治理能力现代化。
一、大数据是政府提升治理能力的全新契机
大数据不仅将改变生产方式、生活方式,社会组织方式尤其是政府治理也将因之发生深刻变革。一个以大数据倒逼政府治理能力提升的态势正在形成,政用大数据已经成为大数据创新应用的大势所趋。对此,我们决不可回避。
提升政府治理能力面临艰巨挑战。当前,我国正处于发展关键期、改革攻坚期、矛盾凸显期,政府治理面临大量新挑战新情况。从发展现状看,工业化、城镇化、信息化加速推进,城乡发展不平衡、区域发展不协调问题较为突出,大量“单位人”转变为“社会人”,大量常住人口变成流动人口,社会结构和利益格局发生深刻变化,政府需要处理、应对的公共事务的规模和种类海量增长,复杂程度前所未有,传统的治理模式面临严峻挑战。从群众需求看,随着物质生活条件逐步改善,特别是互联网、大数据广泛运用,人民群众对政务服务、民生保障的需求呈现出个性化、多样化的新特点,对服务的体验感、参与感、精准化提出更高要求,既有的强调标准化服务的“老办法”,也面临多样化、个性化需求的“新问题”。
以大数据提升政府治理能力是大势所趋。科技革命的加速推进特别是大数据时代的到来,迫切要求政府治理加快由封闭管理向开放治理转变,由单向管理向协同治理转变,由被动响应向主动服务转变,由定性管理向定量管理转变,由粗放管理向精准化管理转变,由运动式管理向常规性管理转变,由此实现社会治理思维的变革、社会治理手段的改进、政府决策技术的进步、风险掌控能力的提升、公共管理流程的再造、社会协同治理的进阶。大数据将成为加快政府治理能力现代化的最重要、最有力推手。在大数据思维下,基于大数据的科学决策、精细管理、精准服务将成为常态,将大大推动政府管理理念和社会治理模式进步,推进法治政府、创新政府、廉洁政府、智慧政府和服务型政府建设,逐步实现治理能力现代化。
以大数据提升政府治理能力的成功案例。事实证明,政府部门通过应用大数据可以大幅度提升生产力和工作效能,并有效降低管理成本。近年来,一些地方和部门积极推动政用大数据发展,取得了初步成效。比如,贵州抢抓大数据发展机遇,在大力发展大数据及其关联产业的同时,着力构建政府数据交互共享平台,推动政府数据融合共享,不断挖掘大数据在提升政府治理能力、保障改善民生方面的价值,特别是创造性提出对权力运行全过程进行数据留痕、融合分析,并在实践中取得了初步成效,提升了政府行政效能和权力运行透明度。
二、以大数据提升政府治理能力的几点思考
大数据在政府治理方面应用前景广阔、使用价值巨大,关键是要构建起一套“用数据说话、用数据决策、用数据管理、用数据创新”的全新机制。
以大数据助推权力制约无缝化。监管权力,核心在于编织权力制约的“笼子”。实现权力制约无缝化,就是要实现权力监督常态化、规范化,实现无禁区、全覆盖、零容忍,倒逼政府自觉规范和约束权力运行。政府应借助大数据手段,对权力运行过程中产生的数据进行全程记录、融合分析,及时发现和控制可能存在的风险,挖掘分析出各类不作为、乱作为及腐败行为发生的概率和“蛛丝马迹”,并通过实践不断使这一探索更加合理化、规范化、科学化,从而形成无缝化的“数据铁笼”,完善权力监督和技术反腐体系,提升政府效能和治理能力。
以大数据助推政府决策科学化。当前,由于政府决策、施策的事项纷繁复杂,各类矛盾交织、各种变量融合的情况比比皆是。缺乏数据支撑的决策特别是凭经验做出的决策,往往“顾此失彼”,科学性、前瞻性不够。政府应借助大数据手段,利用数据关联分析、数学建模、虚拟仿真乃至人工智能等技术,在基于广泛、大量数据的基础上进行模块化分析和政策模拟,为决策提供更为系统、准确、科学的参考依据,为决策实施提供更为全面、可靠的实时跟踪,推动政府决策由过去的经验型、估计型向数据分析型转变,最终实现政府决策机制再造。
以大数据助推政务管理精准化。面对越来越复杂多变的社会事务,传统的管理思维往往停留在增加编制、增加人员、增加经费等层面,信息化手段运用不足,止步于粗放式管理。政府应借助大数据手段进行政务管理,通过数据的“留痕”、关联分析,对诸如市场监管、检验检疫、违法失信、消费维权、司法审判等各类数据进行交叉融合,精准掌握企业、个人等各类主体的真实状况,准确把握、及时发现问题,从而进一步提升政府监督管理的精准性和针对性。同时,通过深度数据挖掘分析,对市场主体的行为动向和违规违法风险进行预测预警,促使政府在跨部门数据共享和联合行动的基础上,实时响应、处理公共事件和公众诉求,对各类违法行为实施精准打击,实现从事中干预、事后反应向事前预测、超前预判转变。
以大数据助推公共服务多样化。过去,政府公共服务往往追求一体化、广覆盖、“一刀切”,容易忽略群众多样化、差异化的需求。进入互联网时代、大数据时代,公共产品和公共服务必须逐步从“供给导向”向“需求导向”转变、从重“服务覆盖”向重“服务体验”转变、从“被动提供”向“主动提供”转变。政府应借助大数据手段,在降低公共服务成本的同时,为多样化服务开辟广阔空间,从而倒逼政府服务模式创新,使医疗、养老、扶贫、社会救助等公共服务更加精准化、人性化,使智慧医疗、智慧教育、智慧养老等成为现实。
以大数据助推治理模式多元化。随着海量数据的聚集、融合以及大数据思维手段的广泛应用,要求政府既有治理模式加快从一元转向多元,切实提升共治力、善治力、综治力。比如,要稳步推进公共数据资源开放,数据开放将不仅是保障公民知情权的需要,更是推动一个地方经济社会发展、营造创新创业氛围的基础性支撑。应加快推进从政府“一家独大”向“政府搭台、社会唱戏”转变,使共建共治理念更加深入人心,逐步形成网络状、实时化、多维度的政府、社会协同治理结构和格局。需要强调的是,大数据在为政府治理提供方便的同时,也会给个人隐私、企业机密、政府公信乃至国家安全带来挑战。政府必须强化主导和主力作用,既要大力推动数据开放和共享,又要全力确保数据安全。
三、以大数据提升政府治理能力的主要技术路径
以大数据提升政府治理能力是一项新生事物,必须敢想敢干敢试,用新思路、新技术开辟新路径、打开新局面,开启政用大数据发展的新征程。
夯实基础设施。以大数据提升政府治理能力的第一步,是要把传统的办公室集中办公、纸质公文在不同部门之间传递的方式改造为无纸化、网络化、虚拟化的新方式,实现政务流程信息化,并运用互联网实现政务网上运行。需要指出的是,大数据背景下的信息化不同于以往电子政务工程,更不是简单地将政府行政过程由物理空间转移到网络空间,而是为政务流程的数据再造提供基础和平台。因此,从一开始就要始终高度关注数据的来源、安全、汇集等问题,预先做出技术和制度安排,为下一阶段工作打好基础。这一步可以称为“信息化”。
强化数据关联。大数据的价值不在于数据有多大,而在于其关联度有多高。以大数据提升政府治理能力的第二步,是要提高数据结构化水平并通过数据留痕记录权力运用的过程,找到数据之间的关联。和信息化不同,这一步强调的是实现数据留痕、数据汇集、数据关联、数据分析和数据智能,系统提升政府效能和公信力。这就需要将数据作为思考问题的出发点和落脚点,从顶层设计入手,统一数据标准,提供数据接口,借助新的技术手段,不断提升数据的结构化水平和数据汇聚程度,从而能进行更快更好更强的数据融合分析,以此来改进服务,优化流程。这一步可以称为“数据化”。
推进流程自动。治理能力强弱的标准,在于能否更快速、更高效。以大数据提升政府治理能力的第三步,是要实现计算机对数据的自动流程化管理。这包括五个环节:一是身份数据化,将人和组织数据化,实现对其身份的识别和确认,找出和问题相关的群体;二是行为数据化,把人和组织的各种行为数据化,以确定一些跟人的身份相关的行为轨迹,进而把握规律和行为缘由;三是数据关联化,对人或组织的身份和行为数据进行关联分析,挖掘人与物、物与物之间的关联关系;四是思维数据化,研究人或组织的行为数据背后的思维的数据化表达、记录方式,进而分析动机、目的和深层次心理反应;五是预测数据化,在汇集各类数据的基础上对数据进行激活,预判下一阶段的发展,找出风险点和薄弱环节。经过以上环节,不需要人为干预,实现政务服务流程的自动化和智能化。这一步可以称为“自流程化”。
实现跨界融合。互联网思维的精髓就在于跨界与融合。以大数据提升政府治理能力的第四步,是要运用行政倒逼、利益调整等多种手段打破“数据孤岛”,实现数据按需、契约、有序、安全式开放,并形成不断开闭合的跨部门数据共享机制。需要警醒的是,如果没有跨领域、海量性、专业化的数据开放共享,以大数据提升政府治理能力就是一句空话;但如果一股脑不加辨别地将所有数据全面开放,则可能带来隐私机密大泄露、经济大波动的灾难。因此,数据开放共享必须有边界、有规则、有步骤。可以探索以契约的方式对开放共享的规模、层次、展现形式、使用时限等进行事先约定,并根据相关法律和约定对开放对象数据使用情况进行监管,从而实现数据开放需求、隐私保护需求和安全保障需求之间的平衡。这一步可以称为“融合化”。
按照“信息化、数据化、自流程化、融合化”这“四步工作法”,近年来,贵阳市紧紧盯住“问题在哪里、数据在哪里、办法在哪里”三个关键问题,借助大数据手段,初步构建了有效监督权力运行、提升政府治理效能的机制。以大数据提升政府治理能力任重道远。我们要广泛凝聚各方力量,进一步明确发展定位、理顺发展思路,共创以大数据提升政府治理能力的美好明天。
(作者:中共贵州省委常委、贵阳市委书记)

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s