Modernization of national governance capacity refers to the innovation and application of governing technologies to promote the coordinated and efficient operation of governing mechanisms, the standardization, rule of law, and democratization of governing processes, and scientific and precise governing models.
As the world becomes increasingly digitized, data is becoming one of the most important resources that governments and businesses alike can harness to drive decision-making. The increasing availability of Big Data is changing the way governments make decisions. The shift from small-scale data sets to large-scale data sets is making it possible to move from decision-making based on limited case studies to data-driven decision-making. This is a more scientific and effective way of decision-making, and it is essential for improving government efficiency.
This allows for a more comprehensive, timely and accurate view of the situation, leading to better decisions
On the other hand, by tracking and monitoring the whole process of an event in real-time, and mining the correlation of massive data, hidden rules, experience and knowledge can be found, which can establish a data-driven mechanism for the generation of government decisions, information feedback, and decision-making adjustment and correction, so as to improve the scientificity and accuracy of government decision-making.
In the past, market regulators have relied on traditional methods to gather information and make decisions. However, with the advent of big data, regulators are now able to collect and analyze vast amounts of data more quickly and accurately. This has led to calls for a more precision-based and collaborative approach to regulation. Big data can help regulators to achieve a more targeted and coordinated approach to market regulation. With the help of big data, regulators can monitor market activities more closely and make better-informed decisions. Additionally, big data can also help regulators to identify and track new trends and patterns more effectively. By harnessing the power of big data, regulators can create a more efficient and effective market regulatory system.
The use of big data can significantly enhance government crisis response capabilities. By mining, analyzing and integrating the features of big data, the association between crisis phenomena can be strengthened, breaking through the information silos caused by the professional division of labor, and effectively improving the abilities of crisis event source governance, dynamic monitoring and emergency disposal.
In the era of big data, the governing model is gradually shifting from the linear process-oriented paradigm to the flat data-centered collaborative paradigm. The fusion of massive data and various new media dynamics has made data open, providing ample information resources for all governance stakeholders and widening the channels of communication and exchange between them.
Difficulties in the practice of big data to promote the modernization of national governance capacity:
Sharing is the foundation.
To give full play to the basic role of big data in national governance, it is first necessary to enable governance subjects to extract, integrate, analyze and apply relevant data to achieve information integration and data sharing. However, at present, due to the lack of coordination mechanisms in various countries, the phenomena of data fragmentation, data separation and data islands are very prominent in the process of government governance. Departmental division and interest conflict restrict the free flow and interaction sharing of data, and the cross-departmental, cross-regional and cross-level sharing and opening of information resources of governments at all levels are slow, which is not conducive to the formation of a coordinated, scientific and effective governance system.
Data application ability is the key.
Data application ability is the basic skill for improving national governance ability under Internet conditions. Whether the value of data can be fully released depends on whether governments have the ability to mine and use it.
In order to keep up with the times and better serve the public, it is essential for all federal employees to be trained in big data. As the United States, Federal Data Strategy Plan suggests, this training should include “Bootcamp” style workshops, seminars, and certificate courses. By learning big data concepts relevant to their jobs and establishing cross-agency “sandboxes” for experimentation, federal agencies will be better equipped to collaborate and succeed in the big data landscape.
Data security is a prerequisite.
As data increasingly becomes centralized, transparent, and networked, the risk of data leaks also increases. The leakage of personal privacy, business secrets, and state intelligence has become a new difficulty in national governance. In addition, data loss, damage, and theft caused by improper security management can easily lead to serious security incidents, which is the biggest risk facing big data applications. At present, data leakage incidents are frequent in the USA, and social media is widely concerned about events such as the leakage of email user data and the high-risk loopholes in the social security system.
Data governance is the guarantee.
Big data analysis needs to gather information resources in various fields. Many data are difficult to distinguish between true and false, and their value is difficult to measure. Governance of data is also an important part of national governance. It is necessary to improve the accuracy, integrity, sharing and consistency of data by managing the data model, structure, quality, and security from the dimensions of organizational structure, management system, operation specification, and IT application technology.
Suggestions
Establish awareness of big data and strengthen the overall management of data resources. In accordance with the principle of administrative integrity, a nationwide integrated national big data center will be established to coordinate the management of the sharing, opening, and integrated utilization of national data resources, and to promote technology integration, business integration, and data integration. Promote the establishment of a data resource sharing and exchange management system among government departments, and form a long-term mechanism for cross-departmental retrieval of application data. Establish institutional norms such as the evaluation system for the openness of public data resources, the confidentiality review system, and the accountability system, and promote the standardized and orderly development of public data resources. Organize the formulation of standards and specifications for data collection, management, opening, transaction, application, and security.
Take the viewpoint demonstration as the starting point to drive the improvement of data application capabilities. In the fields of macroeconomics, market supervision, public services, social management, and new urbanization, organize and carry out pilot demonstrations of collaborative governance innovation based on big data, innovate organizational structures, optimize business processes, and explore ways to use big data to improve the perception of society and the interaction between the government and the people and modes, mechanisms and pathways of decision-making capacity. Timely discovery, summary, and promotion of innovative cases and typical experiences of using big data to improve governance capabilities in various places. Regularly carry out big data application training for government personnel, cultivate data thinking, and improve the ability to collect, analyze, screen, and process data.
Strengthen data governance in accordance with the law, taking into account data efficiency and data security. Through top-level design, technological innovation, process optimization, standard formulation, etc., unify data standards, provide standard data interfaces, and improve data structure, relevance, and consistency. Accelerate the formulation of relevant laws and regulations such as personal big data legislation and big data transaction legislation, and establish a legal, regulatory and institutional system to protect national security, market security, and personal privacy security. Strengthen the effective review and supervision of the opening and utilization of big data from the perspectives of data monopoly and information security, carry out the risk assessment, and formulate reasonable risk prevention strategies.
